An open API service for producing an overview of a list of open source projects.

https://github.com/ray-project/ray

data-science deep-learning deployment distributed hyperparameter-optimization hyperparameter-search large-language-models llm llm-inference llm-serving machine-learning optimization parallel python pytorch ray reinforcement-learning rllib serving tensorflow

Score: 36.20796604097535

Last synced: about 11 hours ago
JSON representation

Repository metadata:

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.


Owner metadata:


Committers metadata

Last synced: 4 days ago

Total Commits: 29,704
Total Committers: 1,423
Avg Commits per committer: 20.874
Development Distribution Score (DDS): 0.955

Commits in past year: 5,162
Committers in past year: 401
Avg Commits per committer in past year: 12.873
Development Distribution Score (DDS) in past year: 0.898

Name Email Commits
Eric Liang e****g@g****m 1334
Sven Mika s****7@g****m 1170
Edward Oakes e****s@g****m 1146
Lonnie Liu 9****e 986
Cuong Nguyen 1****e 885
Kai Fricke k****e 865
Robert Nishihara r****a@g****m 845
SangBin Cho r****7@g****m 814
Balaji Veeramani b****i@a****m 746
Philipp Moritz p****z@g****m 617
Richard Liaw r****w@b****u 604
Jiajun Yao j****j@g****m 580
Simon Mo s****o@h****m 509
Stephanie Wang s****g@c****u 475
Amog Kamsetty a****m 450
Yi Cheng 7****g 422
Archit Kulkarni a****i 422
Justin Yu j****u@a****m 359
Cindy Zhang c****9@g****m 341
Ian Rodney i****y@g****m 307
Ricky Xu x****7@h****m 304
Antoni Baum a****m@p****m 289
dentiny d****o@g****m 287
Chen Shen s****9@g****m 287
Artur Niederfahrenhorst a****r@a****m 284
Hao Chen c****4@g****m 282
Dhyey Shah d****9@g****m 273
matthewdeng m****t@a****m 272
kourosh hakhamaneshi 3****a 270
Clark Zinzow c****w@g****m 256
and 1393 more...

Issue and Pull Request metadata

Last synced: 3 days ago

Total issues: 7,701
Total pull requests: 16,216
Average time to close issues: 11 months
Average time to close pull requests: 22 days
Total issue authors: 2,092
Total pull request authors: 818
Average comments per issue: 3.04
Average comments per pull request: 1.06
Merged pull request: 8,466
Bot issues: 1
Bot pull requests: 403

Past year issues: 1,381
Past year pull requests: 3,592
Past year average time to close issues: 15 days
Past year average time to close pull requests: 6 days
Past year issue authors: 363
Past year pull request authors: 279
Past year average comments per issue: 1.51
Past year average comments per pull request: 0.81
Past year merged pull request: 1,612
Past year bot issues: 1
Past year bot pull requests: 50

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/ray-project/ray

Top Issue Authors

  • can-anyscale (2,140)
  • rkooo567 (147)
  • stephanie-wang (140)
  • bveeramani (111)
  • edoakes (104)
  • kevin85421 (87)
  • richardliaw (74)
  • rickyyx (73)
  • jjyao (70)
  • scottsun94 (68)
  • GeneDer (65)
  • angelinalg (62)
  • architkulkarni (58)
  • justinvyu (53)
  • raulchen (51)

Top Pull Request Authors

  • can-anyscale (1,171)
  • aslonnie (990)
  • dentiny (758)
  • sven1977 (640)
  • bveeramani (595)
  • edoakes (577)
  • dayshah (406)
  • rynewang (402)
  • dependabot[bot] (401)
  • kevin85421 (398)
  • zcin (393)
  • jjyao (374)
  • khluu (348)
  • justinvyu (290)
  • simonsays1980 (287)

Top Issue Labels

  • bug (4,979)
  • triage (3,687)
  • core (1,963)
  • ray-test-bot (1,927)
  • stability (1,856)
  • weekly-release-blocker (1,666)
  • enhancement (1,485)
  • flaky-tracker (1,484)
  • ci-test (1,387)
  • P0 (1,104)
  • P1 (1,100)
  • P2 (1,072)
  • data (829)
  • pending-cleanup (784)
  • serve (748)
  • release-test (722)
  • rllib (589)
  • docs (441)
  • P3 (365)
  • ml (339)
  • jailed-test (243)
  • train (226)
  • tune (218)
  • community-backlog (194)
  • release-blocker (189)
  • observability (176)
  • unstable-release-test (171)
  • stale (163)
  • dashboard (148)
  • ray-team-created (133)

Top Pull Request Labels

  • go (6,479)
  • core (765)
  • stale (704)
  • community-contribution (456)
  • data (426)
  • docs (404)
  • dependencies (399)
  • rllib (375)
  • python (350)
  • tests-ok (231)
  • serve (205)
  • rllib-newstack (193)
  • release-blocker (172)
  • triage (168)
  • @author-action-required (133)
  • P1 (130)
  • v2.7.0-pick (125)
  • train (89)
  • @external-author-action-required (83)
  • P0 (80)
  • rllib-docs-or-examples (79)
  • P2 (78)
  • observability (69)
  • devprod (66)
  • bug (62)
  • rllib-oldstack-cleanup (61)
  • dashboard (59)
  • release-test (55)
  • javascript (48)
  • llm (46)

Package metadata

pypi.org: ray

Ray provides a simple, universal API for building distributed applications.

pypi.org: ray-cpp

A subpackage of Ray which provides the Ray C++ API.

spack.io: py-ray

Ray provides a simple, universal API for building distributed applications.

  • Homepage: https://github.com/ray-project/ray
  • Licenses: []
  • Latest release: 2.53.0 (published about 2 months ago)
  • Last Synced: 2026-03-19T16:20:12.470Z (20 days ago)
  • Versions: 3
  • Dependent Packages: 4
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 0.0%
    • Forks count: 0.292%
    • Stargazers count: 0.32%
    • Average: 3.057%
    • Dependent packages count: 11.616%
  • Maintainers (1)
proxy.golang.org: github.com/ray-project/ray

  • Homepage: https://github.com/ray-project/ray
  • Documentation: https://pkg.go.dev/github.com/ray-project/ray#section-documentation
  • Licenses: Apache-2.0, BSD-2-Clause, MIT
  • Latest release: v0.0.0-20191217200228-0afe14f215b0 (published over 6 years ago)
  • Last Synced: 2026-03-24T00:47:07.550Z (15 days ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 1.622%
    • Average: 4.057%
    • Dependent packages count: 6.492%
repo1.maven.org: io.ray:ray-api

java api for ray

  • Homepage: https://github.com/ray-project/ray
  • Documentation: https://appdoc.app/artifact/io.ray/ray-api/
  • Licenses: The Apache License, Version 2.0
  • Latest release: 2.47.1 (published 10 months ago)
  • Last Synced: 2026-04-01T17:02:48.962Z (7 days ago)
  • Versions: 63
  • Dependent Packages: 4
  • Dependent Repositories: 62
  • Docker Downloads: 167
  • Rankings:
    • Stargazers count: 0.902%
    • Forks count: 1.433%
    • Dependent repos count: 2.671%
    • Average: 4.774%
    • Docker downloads count: 4.935%
    • Dependent packages count: 13.926%
conda-forge.org: ray-core

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-observability, ray-adag, ray-cgraph, ray-llm and ray-all packages.

  • Homepage: https://ray.io/
  • Licenses: Apache-2.0
  • Latest release: 2.0.1 (published over 3 years ago)
  • Last Synced: 2026-04-01T16:18:10.083Z (7 days ago)
  • Versions: 21
  • Dependent Packages: 21
  • Dependent Repositories: 5
  • Downloads: 1,783,597 Total
  • Rankings:
    • Stargazers count: 1.243%
    • Forks count: 1.447%
    • Dependent packages count: 3.094%
    • Average: 5.149%
    • Dependent repos count: 14.811%
repo1.maven.org: io.ray:ray-runtime

ray runtime implementation

  • Homepage: https://github.com/ray-project/ray
  • Documentation: https://appdoc.app/artifact/io.ray/ray-runtime/
  • Licenses: The Apache License, Version 2.0
  • Latest release: 2.47.1 (published 10 months ago)
  • Last Synced: 2026-03-27T06:57:21.359Z (12 days ago)
  • Versions: 63
  • Dependent Packages: 3
  • Dependent Repositories: 62
  • Docker Downloads: 167
  • Rankings:
    • Stargazers count: 0.902%
    • Forks count: 1.433%
    • Dependent repos count: 2.671%
    • Docker downloads count: 4.935%
    • Average: 5.502%
    • Dependent packages count: 17.567%
conda-forge.org: ray-default

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-observability, ray-adag, ray-cgraph, ray-llm and ray-all packages.

  • Homepage: https://ray.io/
  • Licenses: Apache-2.0
  • Latest release: 2.0.1 (published over 3 years ago)
  • Last Synced: 2026-03-27T04:09:15.767Z (12 days ago)
  • Versions: 15
  • Dependent Packages: 11
  • Dependent Repositories: 4
  • Downloads: 1,793,875 Total
  • Rankings:
    • Stargazers count: 1.243%
    • Forks count: 1.447%
    • Dependent packages count: 5.484%
    • Average: 6.089%
    • Dependent repos count: 16.183%
pypi.org: secretflow-ray

Ray provides a simple, universal API for building distributed applications.

  • Homepage: https://github.com/ray-project/ray
  • Documentation: https://secretflow-ray.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 2.2.0 (published about 3 years ago)
  • Last Synced: 2026-04-01T17:02:55.174Z (7 days ago)
  • Versions: 3
  • Dependent Packages: 3
  • Dependent Repositories: 1
  • Downloads: 77 Last month
  • Docker Downloads: 18,150
  • Rankings:
    • Stargazers count: 0.07%
    • Forks count: 0.081%
    • Docker downloads count: 2.004%
    • Dependent packages count: 3.176%
    • Average: 6.721%
    • Downloads: 13.469%
    • Dependent repos count: 21.526%
  • Maintainers (1)
conda-forge.org: ray-tune

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-observability, ray-adag, ray-cgraph, ray-llm and ray-all packages.

  • Homepage: https://ray.io/
  • Licenses: Apache-2.0
  • Latest release: 2.0.1 (published over 3 years ago)
  • Last Synced: 2026-03-27T04:09:04.034Z (12 days ago)
  • Versions: 21
  • Dependent Packages: 4
  • Dependent Repositories: 6
  • Downloads: 1,062,038 Total
  • Rankings:
    • Stargazers count: 1.243%
    • Forks count: 1.447%
    • Average: 7.286%
    • Dependent packages count: 12.501%
    • Dependent repos count: 13.953%
repo1.maven.org: io.ray:streaming-api

ray streaming api

  • Homepage: https://github.com/ray-project/ray
  • Documentation: https://appdoc.app/artifact/io.ray/streaming-api/
  • Licenses: The Apache License, Version 2.0
  • Latest release: 1.10.0 (published about 4 years ago)
  • Last Synced: 2026-03-27T17:10:29.363Z (12 days ago)
  • Versions: 15
  • Dependent Packages: 1
  • Dependent Repositories: 55
  • Docker Downloads: 40
  • Rankings:
    • Stargazers count: 0.902%
    • Forks count: 1.433%
    • Dependent repos count: 2.882%
    • Docker downloads count: 5.917%
    • Average: 8.824%
    • Dependent packages count: 32.986%
repo1.maven.org: io.ray:streaming-state

ray streaming state

  • Homepage: https://github.com/ray-project/ray
  • Documentation: https://appdoc.app/artifact/io.ray/streaming-state/
  • Licenses: The Apache License, Version 2.0
  • Latest release: 1.10.0 (published about 4 years ago)
  • Last Synced: 2026-04-01T17:02:59.101Z (7 days ago)
  • Versions: 15
  • Dependent Packages: 1
  • Dependent Repositories: 54
  • Docker Downloads: 40
  • Rankings:
    • Stargazers count: 0.902%
    • Forks count: 1.433%
    • Dependent repos count: 2.918%
    • Docker downloads count: 5.917%
    • Average: 8.831%
    • Dependent packages count: 32.986%
conda-forge.org: ray-all

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-observability, ray-adag, ray-cgraph, ray-llm and ray-all packages.

  • Homepage: https://ray.io/
  • Licenses: Apache-2.0
  • Latest release: 2.0.1 (published over 3 years ago)
  • Last Synced: 2026-03-27T04:09:01.691Z (12 days ago)
  • Versions: 21
  • Dependent Packages: 3
  • Dependent Repositories: 1
  • Downloads: 852,490 Total
  • Rankings:
    • Stargazers count: 1.243%
    • Forks count: 1.447%
    • Average: 10.688%
    • Dependent packages count: 15.649%
    • Dependent repos count: 24.412%
conda-forge.org: ray-dashboard

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.

  • Homepage: https://github.com/ray-project/ray
  • Licenses: Apache-2.0
  • Latest release: 2.0.1 (published over 3 years ago)
  • Last Synced: 2026-04-01T16:14:30.303Z (7 days ago)
  • Versions: 21
  • Dependent Packages: 1
  • Dependent Repositories: 2
  • Downloads: 1,011,484 Total
  • Rankings:
    • Stargazers count: 1.317%
    • Forks count: 1.532%
    • Average: 13.027%
    • Dependent repos count: 20.27%
    • Dependent packages count: 28.988%
pypi.org: fangyu-pypitest

A system for parallel and distributed Python that unifies the ML ecosystem.

  • Homepage: https://github.com/ray-project/ray
  • Documentation: https://fangyu-pypitest.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 0.8.0.dev4 (published over 6 years ago)
  • Last Synced: 2026-03-20T10:54:09.194Z (19 days ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 11 Last month
  • Rankings:
    • Stargazers count: 0.07%
    • Forks count: 0.081%
    • Dependent packages count: 10.141%
    • Average: 13.421%
    • Dependent repos count: 21.526%
    • Downloads: 35.285%
  • Maintainers (1)
conda-forge.org: ray-rllib

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-observability, ray-adag, ray-cgraph, ray-llm and ray-all packages.

  • Homepage: https://ray.io/
  • Licenses: Apache-2.0
  • Latest release: 2.0.1 (published over 3 years ago)
  • Last Synced: 2026-03-27T04:08:49.125Z (12 days ago)
  • Versions: 21
  • Dependent Packages: 1
  • Dependent Repositories: 1
  • Downloads: 978,653 Total
  • Rankings:
    • Stargazers count: 1.243%
    • Forks count: 1.447%
    • Average: 14.023%
    • Dependent repos count: 24.412%
    • Dependent packages count: 28.988%
conda-forge.org: ray-data

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-observability, ray-adag, ray-cgraph, ray-llm and ray-all packages.

  • Homepage: https://ray.io/
  • Licenses: Apache-2.0
  • Latest release: 2.0.1 (published over 3 years ago)
  • Last Synced: 2026-03-27T04:08:54.669Z (12 days ago)
  • Versions: 10
  • Dependent Packages: 1
  • Dependent Repositories: 1
  • Downloads: 800,217 Total
  • Rankings:
    • Stargazers count: 1.243%
    • Forks count: 1.447%
    • Average: 14.023%
    • Dependent repos count: 24.412%
    • Dependent packages count: 28.988%
conda-forge.org: ray-serve

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-observability, ray-adag, ray-cgraph, ray-llm and ray-all packages.

  • Homepage: https://ray.io/
  • Licenses: Apache-2.0
  • Latest release: 2.0.1 (published over 3 years ago)
  • Last Synced: 2026-04-01T16:15:37.758Z (7 days ago)
  • Versions: 21
  • Dependent Packages: 1
  • Dependent Repositories: 1
  • Downloads: 984,280 Total
  • Rankings:
    • Stargazers count: 1.243%
    • Forks count: 1.447%
    • Average: 14.023%
    • Dependent repos count: 24.412%
    • Dependent packages count: 28.988%
conda-forge.org: ray-k8s

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-k8s, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.

  • Homepage: https://github.com/ray-project/ray
  • Licenses: Apache-2.0
  • Latest release: 2.0.1 (published over 3 years ago)
  • Last Synced: 2026-03-27T04:08:50.559Z (12 days ago)
  • Versions: 19
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 358,001 Total
  • Rankings:
    • Stargazers count: 1.283%
    • Forks count: 1.517%
    • Average: 16.411%
    • Dependent packages count: 28.82%
    • Dependent repos count: 34.025%
conda-forge.org: ray-autoscaler

Ray is a fast and simple framework for building and running distributed applications.

  • Homepage: https://github.com/ray-project/ray
  • Licenses: Apache-2.0
  • Latest release: 1.1.0 (published about 5 years ago)
  • Last Synced: 2026-03-27T04:08:46.833Z (12 days ago)
  • Versions: 2
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 43,380 Total
  • Rankings:
    • Stargazers count: 1.398%
    • Forks count: 1.552%
    • Average: 16.449%
    • Dependent packages count: 28.82%
    • Dependent repos count: 34.025%
anaconda.org: ray-core

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.

  • Homepage: https://www.ray.io
  • Licenses: Apache-2.0
  • Latest release: 2.54.0 (published about 1 month ago)
  • Last Synced: 2026-03-06T11:19:36.823Z (about 1 month ago)
  • Versions: 9
  • Dependent Packages: 3
  • Dependent Repositories: 5
  • Downloads: 4,684 Total
  • Rankings:
    • Stargazers count: 3.473%
    • Forks count: 4.923%
    • Dependent packages count: 15.071%
    • Average: 16.664%
    • Dependent repos count: 43.189%
anaconda.org: ray-default

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.

  • Homepage: https://www.ray.io
  • Licenses: Apache-2.0
  • Latest release: 2.54.0 (published about 1 month ago)
  • Last Synced: 2026-03-06T11:19:47.901Z (about 1 month ago)
  • Versions: 8
  • Dependent Packages: 5
  • Dependent Repositories: 4
  • Downloads: 3,542 Total
  • Rankings:
    • Stargazers count: 3.473%
    • Forks count: 4.923%
    • Dependent packages count: 15.071%
    • Average: 17.034%
    • Dependent repos count: 44.669%
anaconda.org: ray-tune

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.

  • Homepage: https://www.ray.io
  • Licenses: Apache-2.0
  • Latest release: 2.54.0 (published about 1 month ago)
  • Last Synced: 2026-03-06T11:19:59.999Z (about 1 month ago)
  • Versions: 7
  • Dependent Packages: 2
  • Dependent Repositories: 6
  • Downloads: 3,516 Total
  • Rankings:
    • Stargazers count: 3.292%
    • Forks count: 4.923%
    • Average: 17.714%
    • Dependent packages count: 20.447%
    • Dependent repos count: 42.193%
anaconda.org: ray-adag

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.

  • Homepage: https://www.ray.io
  • Licenses: Apache-2.0
  • Latest release: 2.54.0 (published about 1 month ago)
  • Last Synced: 2026-03-06T11:20:04.985Z (about 1 month ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 0 Total
  • Rankings:
    • Stargazers count: 2.735%
    • Downloads: 4.294%
    • Forks count: 4.502%
    • Average: 18.381%
    • Dependent packages count: 38.45%
    • Dependent repos count: 41.925%
pypi.org: ray-for-mars

Ray provides a simple, universal API for building distributed applications.

  • Homepage: https://github.com/ray-project/ray
  • Documentation: https://ray-for-mars.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 1.12.1 (published almost 4 years ago)
  • Last Synced: 2026-04-01T17:03:13.283Z (7 days ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 16 Last month
  • Rankings:
    • Stargazers count: 0.07%
    • Forks count: 0.081%
    • Dependent packages count: 10.141%
    • Average: 18.468%
    • Dependent repos count: 21.526%
    • Downloads: 60.522%
  • Maintainers (1)
crates.io: ray-rs-sys

Low-level bindings to the for the C-ABI Ray CoreWorker (shared library) harness

  • Homepage:
  • Documentation: https://docs.rs/ray-rs-sys/
  • Licenses: Apache-2.0
  • Latest release: 0.0.0 (published about 4 years ago)
  • Last Synced: 2026-04-01T17:02:47.420Z (7 days ago)
  • Versions: 1
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 2,497 Total
  • Rankings:
    • Forks count: 0.102%
    • Stargazers count: 0.247%
    • Dependent packages count: 16.956%
    • Average: 20.243%
    • Dependent repos count: 29.318%
    • Downloads: 54.593%
  • Maintainers (1)
repo1.maven.org: io.ray:ray-serve

java for ray serve

  • Homepage: https://github.com/ray-project/ray
  • Documentation: https://appdoc.app/artifact/io.ray/ray-serve/
  • Licenses: The Apache License, Version 2.0
  • Latest release: 2.47.1 (published 10 months ago)
  • Last Synced: 2026-03-26T15:21:32.696Z (13 days ago)
  • Versions: 56
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Stargazers count: 0.718%
    • Forks count: 1.117%
    • Average: 20.669%
    • Dependent repos count: 31.98%
    • Dependent packages count: 48.86%
repo1.maven.org: io.ray:ray-streaming

A streaming framework built on ray

  • Homepage: https://github.com/ray-project/ray
  • Documentation: https://appdoc.app/artifact/io.ray/ray-streaming/
  • Licenses: The Apache License, Version 2.0
  • Latest release: 1.10.0 (published about 4 years ago)
  • Last Synced: 2026-04-01T17:03:26.190Z (7 days ago)
  • Versions: 15
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Stargazers count: 0.718%
    • Forks count: 1.117%
    • Average: 20.669%
    • Dependent repos count: 31.98%
    • Dependent packages count: 48.86%
repo1.maven.org: io.ray:streaming-runtime

ray streaming runtime

  • Homepage: https://github.com/ray-project/ray
  • Documentation: https://appdoc.app/artifact/io.ray/streaming-runtime/
  • Licenses: The Apache License, Version 2.0
  • Latest release: 1.10.0 (published about 4 years ago)
  • Last Synced: 2026-04-01T17:03:04.582Z (7 days ago)
  • Versions: 15
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Stargazers count: 0.762%
    • Forks count: 1.163%
    • Average: 20.691%
    • Dependent repos count: 31.98%
    • Dependent packages count: 48.86%
anaconda.org: ray-debug

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.

  • Homepage: https://www.ray.io
  • Licenses: Apache-2.0
  • Latest release: 2.54.0 (published about 1 month ago)
  • Last Synced: 2026-03-06T11:19:46.178Z (about 1 month ago)
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 2,202 Total
  • Rankings:
    • Stargazers count: 3.348%
    • Forks count: 5.14%
    • Average: 26.496%
    • Dependent packages count: 39.804%
    • Dependent repos count: 57.694%
anaconda.org: ray-dashboard

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.

  • Homepage: https://www.ray.io
  • Licenses: Apache-2.0
  • Latest release: 2.54.0 (published about 1 month ago)
  • Last Synced: 2026-03-06T11:19:42.797Z (about 1 month ago)
  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 2
  • Downloads: 3,154 Total
  • Rankings:
    • Stargazers count: 3.292%
    • Forks count: 4.923%
    • Average: 27.076%
    • Dependent repos count: 48.898%
    • Dependent packages count: 51.193%
anaconda.org: ray-data

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.

  • Homepage: https://www.ray.io
  • Licenses: Apache-2.0
  • Latest release: 2.54.0 (published about 1 month ago)
  • Last Synced: 2026-03-06T11:19:44.647Z (about 1 month ago)
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 2,490 Total
  • Rankings:
    • Stargazers count: 3.352%
    • Forks count: 4.802%
    • Average: 27.688%
    • Dependent packages count: 51.193%
    • Dependent repos count: 51.404%
anaconda.org: ray-train

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.

  • Homepage: https://www.ray.io
  • Licenses: Apache-2.0
  • Latest release: 2.54.0 (published about 1 month ago)
  • Last Synced: 2026-03-06T11:19:58.233Z (about 1 month ago)
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 2,362 Total
  • Rankings:
    • Stargazers count: 3.352%
    • Forks count: 4.802%
    • Average: 27.688%
    • Dependent packages count: 51.193%
    • Dependent repos count: 51.404%
anaconda.org: ray-rllib

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.

  • Homepage: https://www.ray.io
  • Licenses: Apache-2.0
  • Latest release: 2.54.0 (published about 1 month ago)
  • Last Synced: 2026-03-06T11:19:53.077Z (about 1 month ago)
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 2,215 Total
  • Rankings:
    • Stargazers count: 3.352%
    • Forks count: 4.802%
    • Average: 27.688%
    • Dependent packages count: 51.193%
    • Dependent repos count: 51.404%
pypi.org: ant-ray-cpp-nightly

A subpackage of Ray which provides the Ray C++ API.

  • Homepage: https://github.com/ray-project/ray
  • Documentation: https://ant-ray-cpp-nightly.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 2.53.0 (published 2 months ago)
  • Last Synced: 2026-03-20T18:48:02.888Z (19 days ago)
  • Versions: 102
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 4,725 Last month
  • Rankings:
    • Dependent packages count: 8.743%
    • Average: 29.005%
    • Dependent repos count: 49.266%
  • Maintainers (1)
pypi.org: ant-ray-cpp

A subpackage of Ray which provides the Ray C++ API.

  • Homepage: https://github.com/ray-project/ray
  • Documentation: https://ant-ray-cpp.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 3.0.0.dev0 (published 8 months ago)
  • Last Synced: 2026-03-19T02:44:14.797Z (20 days ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 191 Last month
  • Rankings:
    • Dependent packages count: 8.743%
    • Average: 29.005%
    • Dependent repos count: 49.266%
  • Maintainers (1)
crates.io: ray-rs

Ray Rust language worker API

  • Homepage:
  • Documentation: https://docs.rs/ray-rs/
  • Licenses: Apache-2.0
  • Latest release: 0.0.0 (published about 4 years ago)
  • Last Synced: 2026-04-01T17:03:07.375Z (7 days ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 1,585 Total
  • Rankings:
    • Forks count: 0.102%
    • Stargazers count: 0.247%
    • Average: 29.107%
    • Dependent repos count: 29.318%
    • Dependent packages count: 33.812%
    • Downloads: 82.057%
  • Maintainers (1)
pypi.org: ve-ray

Ray provides a simple, universal API for building distributed applications.

  • Homepage: https://github.com/ray-project/ray
  • Documentation: https://ve-ray.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 2.46.0.2 (published 6 months ago)
  • Last Synced: 2026-03-19T10:18:43.206Z (20 days ago)
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 315 Last month
  • Rankings:
    • Dependent packages count: 9.014%
    • Average: 29.899%
    • Dependent repos count: 50.784%
  • Maintainers (2)
pypi.org: ant-ray

Ray provides a simple, universal API for building distributed applications.

  • Homepage: https://github.com/ray-project/ray
  • Documentation: https://ant-ray.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 2.44.1 (published about 1 year ago)
  • Last Synced: 2026-04-01T17:03:22.655Z (7 days ago)
  • Versions: 14
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 341 Last month
  • Rankings:
    • Dependent packages count: 9.845%
    • Average: 32.631%
    • Dependent repos count: 55.418%
  • Maintainers (5)
pypi.org: ant-ray-nightly

Ray provides a simple, universal API for building distributed applications.

  • Homepage: https://github.com/ray-project/ray
  • Documentation: https://ant-ray-nightly.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 2.53.0 (published 2 months ago)
  • Last Synced: 2026-03-21T13:00:58.531Z (18 days ago)
  • Versions: 127
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 2,928 Last month
  • Rankings:
    • Dependent packages count: 9.853%
    • Average: 32.659%
    • Dependent repos count: 55.464%
  • Maintainers (5)
pypi.org: ray-nightly

Ray provides a simple, universal API for building distributed applications.

  • Homepage: https://github.com/ray-project/ray
  • Documentation: https://ray-nightly.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 3.0.0.dev20241219 (published over 1 year ago)
  • Last Synced: 2026-04-01T17:03:15.988Z (7 days ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 9.869%
    • Average: 32.712%
    • Dependent repos count: 55.555%
  • Maintainers (1)
repo1.maven.org: io.ray:ray-superpom

An open source framework that provides a simple, universal API for building distributed applications.

  • Homepage: https://github.com/ray-project/ray
  • Documentation: https://appdoc.app/artifact/io.ray/ray-superpom/
  • Licenses: The Apache License, Version 2.0
  • Latest release: 2.47.1 (published 10 months ago)
  • Last Synced: 2026-04-01T17:02:48.753Z (7 days ago)
  • Versions: 63
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 31.98%
    • Average: 40.42%
    • Dependent packages count: 48.86%
anaconda.org: ray-client

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.

  • Homepage: https://www.ray.io
  • Licenses: Apache-2.0
  • Latest release: 2.54.0 (published about 1 month ago)
  • Last Synced: 2026-03-06T11:19:25.663Z (about 1 month ago)
  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 780 Total
  • Rankings:
    • Dependent packages count: 46.651%
    • Average: 48.97%
    • Dependent repos count: 51.288%
anaconda.org: ray-air

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.

  • Homepage: https://www.ray.io
  • Licenses: Apache-2.0
  • Latest release: 2.54.0 (published about 1 month ago)
  • Last Synced: 2026-03-06T11:19:18.764Z (about 1 month ago)
  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 787 Total
  • Rankings:
    • Dependent packages count: 46.651%
    • Average: 48.97%
    • Dependent repos count: 51.288%
anaconda.org: ray-observability

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.

  • Homepage: https://www.ray.io
  • Licenses: Apache-2.0
  • Latest release: 2.54.0 (published about 1 month ago)
  • Last Synced: 2026-03-06T11:19:51.456Z (about 1 month ago)
  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 800 Total
  • Rankings:
    • Dependent packages count: 46.651%
    • Average: 48.97%
    • Dependent repos count: 51.288%
anaconda.org: ray-serve

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.

  • Homepage: https://www.ray.io
  • Licenses: Apache-2.0
  • Latest release: 2.54.0 (published about 1 month ago)
  • Last Synced: 2026-03-06T11:19:55.228Z (about 1 month ago)
  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 788 Total
  • Rankings:
    • Dependent packages count: 46.651%
    • Average: 48.97%
    • Dependent repos count: 51.288%
anaconda.org: ray-serve-grpc

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.

  • Homepage: https://www.ray.io
  • Licenses: Apache-2.0
  • Latest release: 2.54.0 (published about 1 month ago)
  • Last Synced: 2026-03-06T11:19:56.584Z (about 1 month ago)
  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 777 Total
  • Rankings:
    • Dependent packages count: 46.651%
    • Average: 48.97%
    • Dependent repos count: 51.288%
nixpkgs-23.05: python310Packages.ray

A unified framework for scaling AI and Python applications

nixpkgs-24.05: python312Packages.ray

A unified framework for scaling AI and Python applications

nixpkgs-24.11: python311Packages.ray

Unified framework for scaling AI and Python applications

nixpkgs-24.05: python311Packages.ray

A unified framework for scaling AI and Python applications

nixpkgs-23.05: python311Packages.ray

A unified framework for scaling AI and Python applications

nixpkgs-unstable: python314Packages.ray

Unified framework for scaling AI and Python applications

nixpkgs-23.11: python311Packages.ray

A unified framework for scaling AI and Python applications

nixpkgs-unstable: python313Packages.ray

Unified framework for scaling AI and Python applications

nixpkgs-23.11: python310Packages.ray

A unified framework for scaling AI and Python applications

nixpkgs-24.11: python312Packages.ray

Unified framework for scaling AI and Python applications


Dependencies

.vale/styles/Google/meta.json cpan
doc/source/templates/05_dreambooth_finetuning/configs/Dockerfile docker
  • anyscale/ray latest-py39-cu118 build
doc/source/templates/testing/docker/03_serving_stable_diffusion/Dockerfile docker
  • anyscale/ray latest-py39-cu118 build
doc/source/templates/testing/docker/04_finetuning_llms_with_deepspeed/Dockerfile docker
  • anyscale/ray 2.6.1-py39-cu117 build
docker/base-deps/Dockerfile docker
  • ${BASE_IMAGE} latest build
docker/ray/Dockerfile docker
  • $FULL_BASE_IMAGE latest build
docker/ray-ml/Dockerfile docker
  • "$FULL_BASE_IMAGE" latest build
python/ray/tests/kuberay/Dockerfile docker
  • rayproject/ray nightly-py310 build
python/ray/tests/project_files/docker_project/Dockerfile docker
java/pom.xml maven
  • org.testng:testng 7.5.1
ci/repro-ci-requirements.txt pypi
  • boto3 *
  • click *
  • paramiko *
  • pybuildkite *
  • pyyaml *
doc/requirements-doc.txt pypi
  • Pygments ==2.13.0
  • autodoc_pydantic ==1.6.1
  • jupytext ==1.13.6
  • myst-nb ==0.13.1
  • myst-parser ==0.15.2
  • pydantic <2
  • sphinx ==4.3.2
  • sphinx-book-theme ==0.3.3
  • sphinx-click ==3.0.2
  • sphinx-copybutton ==0.4.0
  • sphinx-external-toc ==0.2.4
  • sphinx-jsonschema ==1.17.2
  • sphinx-remove-toctrees ==0.0.3
  • sphinx-sitemap ==2.2.0
  • sphinx-tabs ==3.4.0
  • sphinx-version-warning ==1.1.2
  • sphinx_design ==0.4.1
  • sphinxcontrib-redoc ==1.6.0
  • sphinxemoji ==0.2.0
  • urllib3 <1.27
  • watchfiles *
doc/source/templates/02_many_model_training/requirements.txt pypi
  • statsforecast ==1.5.0
doc/source/templates/05_dreambooth_finetuning/dreambooth/requirements.txt pypi
  • accelerate ==0.20.3
  • bitsandbytes ==0.39.1
  • diffusers ==0.19.3
  • flax ==0.6.11
  • huggingface_hub ==0.16.2
  • ipywidgets *
  • numpy ==1.24.4
  • torch ==2.0.1
  • torchvision ==0.15.2
  • transformers ==4.30.2
doc/source/templates/testing/docker/03_serving_stable_diffusion/requirements.txt pypi
  • accelerate ==0.20.3 test
  • diffusers ==0.17.1 test
  • fastapi ==0.97.0 test
  • ipywidgets * test
  • matplotlib ==3.7.1 test
  • numpy ==1.24.3 test
  • torch ==2.0.1 test
  • transformers ==4.30.1 test
doc/source/templates/testing/docker/04_finetuning_llms_with_deepspeed/requirements.txt pypi
  • accelerate * test
  • bitsandbytes * test
  • dataset * test
  • deepspeed * test
  • evaluate * test
  • fairscale * test
  • lm_eval ==0.3.0 test
  • protobuf <3.21.0 test
  • pytorch-lightning * test
  • sentencepiece * test
  • tiktoken ==0.1.2 test
  • torch ==2.0.0 test
  • torchaudio ==2.0.1 test
  • torchmetrics * test
  • torchvision ==0.15.1 test
  • transformers >=4.31.0 test
  • wandb * test
python/ray/tests/project_files/project1/requirements.txt pypi
python/ray/tests/project_files/requirements_project/requirements.txt pypi
python/ray/tests/project_files/session-tests/git-repo-pass/ray-project/requirements.txt pypi
  • ray * test
python/ray/tests/project_files/session-tests/invalid-config-fail/ray-project/requirements.txt pypi
  • ray * test
python/ray/tests/project_files/session-tests/project-pass/ray-project/requirements.txt pypi
  • ray * test
python/ray/tune/requirements-dev.txt pypi
  • black ==22.10.0 development
  • flake8 ==3.9.1 development
  • flake8-quotes * development
  • gym >=0.21.0,<0.24.0 development
  • pandas * development
  • requests * development
  • scikit-image * development
  • tensorflow * development
  • yq * development
python/ray/util/collective/requirements.txt pypi
  • cupy-cuda100 *
python/requirements/docker/ray-docker-requirements.txt pypi
  • gsutil *
  • ipython *
  • ipywidgets *
  • tblib *
python/requirements/lint-requirements.txt pypi
  • black ==22.10.0
  • clang-format ==12.0.1
  • docutils *
  • flake8 ==3.9.1
  • flake8-bugbear ==21.9.2
  • flake8-comprehensions ==3.10.1
  • flake8-quotes ==2.0.0
  • isort ==5.10.1
  • mypy ==0.982
  • semgrep ==1.32.0
  • shellcheck-py ==0.7.1.1
  • types-PyYAML ==6.0.12.2
  • yq *
python/requirements/ml/core-requirements.txt pypi
  • accelerate ==0.20.3
  • comet-ml ==3.31.9
  • lightgbm ==3.3.5
  • lightgbm_ray ==0.1.9
  • mlflow ==1.30.0
  • mlflow ==2.4.1
  • s3fs ==2023.1.0
  • s3fs ==2023.5.0
  • transformers ==4.19.1
  • wandb ==0.13.4
  • xgboost ==1.7.6
  • xgboost ==1.6.2
  • xgboost_ray ==0.1.18
python/requirements/ml/data-requirements.txt pypi
  • aioboto3 ==11.0.1
  • aioboto3 ==11.2.0
  • crc32c ==2.3
  • dask ==2022.10.1
  • dask ==2022.2.0
  • flask_cors *
  • modin ==0.12.1
  • modin ==0.22.2
  • pymars >=0.8.3
  • raydp >=0.0.dev0
  • responses ==0.13.4
python/requirements/ml/data-test-requirements.txt pypi
  • datasets * test
  • google-cloud-bigquery * test
  • google-cloud-bigquery-storage * test
  • pickle5 * test
  • pytest-repeat * test
  • python-snappy * test
  • soundfile * test
  • tensorflow-datasets * test
python/requirements/ml/dl-cpu-requirements.txt pypi
  • tensorflow ==2.11.0
  • tensorflow-datasets *
  • tensorflow-macos ==2.11.0
  • tensorflow-probability ==0.19.0
  • torch ==1.13.0
  • torch ==2.0.1
  • torch-cluster ==1.6.1
  • torch-geometric ==2.3.1
  • torch-scatter ==2.1.1
  • torch-sparse ==0.6.17
  • torch-spline-conv ==1.2.2
  • torchmetrics ==0.9.3
  • torchmetrics ==0.10.3
  • torchtext ==0.15.2
  • torchtext ==0.14.0
  • torchvision ==0.15.2
  • torchvision ==0.14.0
python/requirements/ml/dl-gpu-requirements.txt pypi
  • tensorflow ==2.11.0
  • tensorflow-datasets *
  • tensorflow-macos ==2.11.0
  • tensorflow-probability ==0.19.0
  • torch ==2.0.1
  • torch-cluster ==1.6.1
  • torch-scatter ==2.1.1
  • torch-sparse ==0.6.17
  • torch-spline-conv ==1.2.2
  • torchvision ==0.15.2
python/requirements/ml/rllib-requirements.txt pypi
  • higher ==0.2.1
  • imageio-ffmpeg ==0.4.5
  • msgpack *
  • msgpack_numpy *
  • onnx ==1.12.0
  • onnxruntime ==1.14.1
  • pyglet ==1.5.15
  • rich ==12.6.0
  • tf2onnx ==1.13.0
python/requirements/ml/rllib-test-requirements.txt pypi
  • ale_py ==0.8.1 test
  • autorom * test
  • chess ==1.7.0 test
  • dm_control ==1.0.12 test
  • dopamine-rl ==4.0.5 test
  • gymnasium ==0.28.1 test
  • h5py ==3.7.0 test
  • imageio ==2.31.1 test
  • kaggle_environments ==1.7.11 test
  • minigrid ==2.1.1 test
  • mlagents_envs ==0.28.0 test
  • mujoco ==2.3.6 test
  • open-spiel ==1.2 test
  • pettingzoo ==1.23.1 test
  • pymunk ==6.2.1 test
  • recsim ==0.2.4 test
  • shimmy * test
  • supersuit ==3.8.0 test
  • tensorflow_estimator ==2.11.0 test
  • tinyscaler ==1.2.6 test
python/requirements/ml/train-requirements.txt pypi
  • datasets ==2.0.0
  • deepspeed ==0.8.3
python/requirements/ml/train-test-requirements.txt pypi
  • evaluate ==0.4.0 test
  • sentencepiece ==0.1.96 test
python/requirements/ml/tune-requirements.txt pypi
  • ConfigSpace ==0.7.1
  • ax-platform ==0.3.2
  • ax-platform ==0.2.6
  • bayesian-optimization ==1.4.3
  • dragonfly-opt ==0.1.7
  • flaml ==1.1.1
  • hpbandster ==0.7.4
  • hyperopt ==0.2.7
  • nevergrad ==0.4.3.post7
  • optuna ==3.2.0
  • tune-sklearn ==0.4.6
python/requirements/ml/tune-test-requirements.txt pypi
  • aim ==3.17.5 test
  • fairscale ==0.4.6 test
  • gpy ==1.10.0 test
  • jupyterlab ==3.6.1 test
  • matplotlib * test
  • pytest-remotedata ==0.3.2 test
  • pytorch-lightning ==1.6.5 test
  • scikit-optimize ==0.9.0 test
  • shortuuid ==1.0.1 test
  • sigopt ==7.5.0 test
  • timm ==0.9.2 test
  • zoopt ==0.4.1 test
python/requirements/test-requirements.txt pypi
  • Pillow ==9.2.0 test
  • PyOpenSSL ==22.1.0 test
  • Pygments ==2.13.0 test
  • async-exit-stack ==1.0.1 test
  • async-generator ==1.10 test
  • asyncmock ==0.4.2 test
  • attrs ==21.4.0 test
  • azure-cli-core ==2.40.0 test
  • azure-identity ==1.10.0 test
  • azure-mgmt-compute ==23.1.0 test
  • azure-mgmt-network ==19.0.0 test
  • azure-mgmt-resource ==20.0.0 test
  • backoff ==1.10 test
  • beautifulsoup4 ==4.11.1 test
  • boto3 ==1.24.59 test
  • boto3 ==1.26.76 test
  • cloudpickle ==2.2.0 test
  • cryptography ==38.0.1 test
  • cython ==0.29.32 test
  • dataclasses * test
  • fastapi ==0.99.1 test
  • feather-format ==0.4.1 test
  • flask ==2.1.3 test
  • freezegun ==1.1.0 test
  • google-api-python-client ==2.65.0 test
  • google-cloud-storage ==2.5.0 test
  • gradio ==3.11 test
  • h11 ==0.12.0 test
  • httpcore ==0.15.0 test
  • importlib-metadata ==4.10.0 test
  • jinja2 ==3.0.3 test
  • joblib ==1.2.0 test
  • jsonpatch ==1.32 test
  • jupytext ==1.13.6 test
  • kubernetes ==24.2.0 test
  • llvmlite ==0.39.1 test
  • lxml ==4.9.1 test
  • markdown-it-py ==1.1.0 test
  • memray * test
  • moto ==4.0.7 test
  • msrestazure ==0.6.4 test
  • mypy ==0.982 test
  • myst-nb ==0.13.1 test
  • myst-parser ==0.15.2 test
  • networkx ==2.6.3 test
  • numba ==0.56.4 test
  • numexpr ==2.8.4 test
  • openpyxl ==3.0.10 test
  • opentelemetry-api ==1.1.0 test
  • opentelemetry-exporter-opencensus ==0.20b0 test
  • opentelemetry-exporter-otlp ==1.1.0 test
  • opentelemetry-sdk ==1.1.0 test
  • pexpect ==4.8.0 test
  • polars ==0.14.21 test
  • proxy.py ==2.4.3 test
  • pydantic ==1.10.12 test
  • pydot ==1.4.2 test
  • pygame ==2.1.2 test
  • pymongo ==4.3.2 test
  • pyspark ==3.3.1 test
  • pytest ==7.0.1 test
  • pytest-asyncio ==0.16.0 test
  • pytest-docker-tools ==3.1.3 test
  • pytest-forked ==1.4.0 test
  • pytest-httpserver ==1.0.6 test
  • pytest-lazy-fixture ==0.6.3 test
  • pytest-rerunfailures ==11.1.2 test
  • pytest-sugar ==0.9.5 test
  • pytest-timeout ==2.1.0 test
  • pytest-virtualenv ==1.7.0 test
  • pytz ==2022.7.1 test
  • redis ==4.4.2 test
  • scikit-learn ==1.0.2 test
  • segment-analytics-python ==2.2.0 test
  • smart_open ==6.2.0 test
  • sphinx ==4.3.2 test
  • starlette ==0.27.0 test
  • sympy ==1.10.1 test
  • tensorboardX ==2.6.0 test
  • testfixtures ==7.0.0 test
  • threadpoolctl ==3.1.0 test
  • tqdm ==4.64.1 test
  • trustme ==0.9.0 test
  • typing-extensions ==4.5.0 test
  • uvicorn ==0.22.0 test
  • watchfiles ==0.19.0 test
  • websockets ==11.0.3 test
  • werkzeug ==2.1.2 test
  • xlrd ==2.0.1 test
  • yq ==3.2.2 test
python/requirements.txt pypi
  • aiohttp >=3.7
  • aiohttp_cors *
  • aiorwlock *
  • aiosignal *
  • click >=7.0
  • colorful *
  • dataclasses *
  • dm_tree *
  • fastapi *
  • filelock *
  • frozenlist *
  • fsspec *
  • gpustat >=1.0.0
  • grpcio ==1.54.2
  • grpcio >=1.54.2
  • gymnasium ==0.28.1
  • jsonschema *
  • lz4 *
  • msgpack <2.0.0,>=1.0.0
  • numpy >=1.16
  • numpy >=1.19.3
  • numpy >=1.20
  • opencensus *
  • opentelemetry-api *
  • opentelemetry-exporter-otlp *
  • opentelemetry-sdk *
  • packaging *
  • pandas *
  • pandas >=1.3
  • prometheus_client >=0.7.1
  • protobuf *
  • py-spy >=0.2.0
  • pyarrow >=6.0.1,<7.0.0
  • pyarrow >=6.0.1
  • pydantic <2
  • pyyaml *
  • requests *
  • rich *
  • scikit-image *
  • scipy *
  • smart_open *
  • starlette *
  • tensorboardX <=2.6.0,>=1.9
  • typer *
  • typing_extensions *
  • uvicorn *
  • virtualenv <20.21.1,>=20.0.24
  • watchfiles *
python/requirements_compiled.txt pypi
  • about-time ==4.2.1
  • absl-py ==1.4.0
  • accelerate ==0.20.3
  • adal ==1.2.7
  • aim ==3.17.5
  • aim-ui ==3.17.5
  • aimrecords ==0.0.7
  • aimrocks ==0.4.0
  • aioboto3 ==11.2.0
  • aiobotocore ==2.5.0
  • aiofiles ==22.1.0
  • aiohttp ==3.8.5
  • aiohttp-cors ==0.7.0
  • aioitertools ==0.11.0
  • aiorwlock ==1.3.0
  • aiosignal ==1.3.1
  • aiosqlite ==0.19.0
  • alabaster ==0.7.13
  • ale-py ==0.8.1
  • alembic ==1.12.0
  • alive-progress ==3.1.4
  • anyio ==3.7.1
  • applicationinsights ==0.11.10
  • argcomplete ==1.12.3
  • argon2-cffi ==23.1.0
  • argon2-cffi-bindings ==21.2.0
  • array-record ==0.4.0
  • arrow ==1.3.0
  • asttokens ==2.4.0
  • astunparse ==1.6.3
  • async-exit-stack ==1.0.1
  • async-generator ==1.10
  • async-timeout ==4.0.3
  • asyncmock ==0.4.2
  • attrs ==21.4.0
  • autodoc-pydantic ==1.6.1
  • autograd ==1.6.2
  • autorom ==0.6.1
  • autorom-accept-rom-license ==0.6.1
  • aws-sam-translator ==1.76.0
  • aws-xray-sdk ==2.12.0
  • ax-platform ==0.3.2
  • azure-cli-core ==2.40.0
  • azure-cli-telemetry ==1.0.8
  • azure-common ==1.1.28
  • azure-core ==1.29.1
  • azure-identity ==1.10.0
  • azure-mgmt-compute ==23.1.0
  • azure-mgmt-core ==1.4.0
  • azure-mgmt-network ==19.0.0
  • azure-mgmt-resource ==20.0.0
  • babel ==2.13.0
  • backcall ==0.2.0
  • backoff ==1.10.0
  • base58 ==2.0.1
  • bayesian-optimization ==1.4.3
  • bcrypt ==4.0.1
  • beautifulsoup4 ==4.11.1
  • black ==22.10.0
  • bleach ==6.0.0
  • blessed ==1.20.0
  • bokeh ==2.4.3
  • boltons ==21.0.0
  • boto ==2.49.0
  • boto3 ==1.26.76
  • botocore ==1.29.76
  • botorch ==0.8.5
  • bracex ==2.4
  • cached-property ==1.5.2
  • cachetools ==5.3.1
  • catboost ==1.2.2
  • certifi ==2023.7.22
  • cffi ==1.16.0
  • cfn-lint ==0.80.4
  • charset-normalizer ==3.3.0
  • chess ==1.7.0
  • chex ==0.1.7
  • clang-format ==12.0.1
  • click ==8.1.7
  • click-option-group ==0.5.6
  • cloudpickle ==2.2.0
  • cma ==3.2.2
  • cmaes ==0.10.0
  • colorama ==0.4.6
  • coloredlogs ==15.0.1
  • colorful ==0.5.5
  • colorlog ==6.7.0
  • comet-ml ==3.31.9
  • comm ==0.1.4
  • commonmark ==0.9.1
  • configobj ==5.0.8
  • configspace ==0.7.1
  • contextlib2 ==21.6.0
  • contourpy ==1.1.1
  • crc32c ==2.3
  • crcmod ==1.7
  • cryptography ==38.0.1
  • cycler ==0.12.0
  • cython ==0.29.32
  • dask ==2022.10.1
  • databricks-cli ==0.18.0
  • datasets ==2.0.0
  • debugpy ==1.8.0
  • decorator ==5.1.1
  • deepspeed ==0.8.3
  • defusedxml ==0.7.1
  • deprecated ==1.2.14
  • dill ==0.3.7
  • distlib ==0.3.7
  • distributed ==2022.10.1
  • dm-control ==1.0.12
  • dm-env ==1.6
  • dm-tree ==0.1.8
  • dnspython ==2.4.2
  • docker ==6.1.3
  • docker-pycreds ==0.4.0
  • docutils ==0.17.1
  • dopamine-rl ==4.0.5
  • dragonfly-opt ==0.1.7
  • dulwich ==0.21.6
  • ecdsa ==0.18.0
  • email-validator ==2.0.0.post2
  • entrypoints ==0.4
  • et-xmlfile ==1.1.0
  • etils ==1.3.0
  • evaluate ==0.4.0
  • everett ==3.2.0
  • exceptiongroup ==1.1.3
  • execnet ==2.0.2
  • executing ==2.0.0
  • face ==22.0.0
  • fairscale ==0.4.6
  • farama-notifications ==0.0.4
  • fastapi ==0.99.1
  • fasteners ==0.19
  • fastjsonschema ==2.18.1
  • feather-format ==0.4.1
  • ffmpy ==0.3.1
  • filelock ==3.12.4
  • flake8 ==3.9.1
  • flake8-bugbear ==21.9.2
  • flake8-comprehensions ==3.10.1
  • flake8-quotes ==2.0.0
  • flaml ==1.1.1
  • flask ==2.1.3
  • flask-cors ==4.0.0
  • flatbuffers ==2.0.7
  • flax ==0.7.2
  • fonttools ==4.43.0
  • fqdn ==1.5.1
  • freezegun ==1.1.0
  • frozenlist ==1.4.0
  • fsspec ==2023.5.0
  • future ==0.18.3
  • gast ==0.4.0
  • gcs-oauth2-boto-plugin ==3.0
  • gin-config ==0.5.0
  • gitdb ==4.0.10
  • gitpython ==3.1.37
  • glfw ==2.6.2
  • glom ==22.1.0
  • google-api-core ==2.12.0
  • google-api-python-client ==2.65.0
  • google-apitools ==0.5.32
  • google-auth ==2.23.2
  • google-auth-httplib2 ==0.1.1
  • google-auth-oauthlib ==0.4.6
  • google-cloud-bigquery ==3.11.0
  • google-cloud-bigquery-storage ==2.20.0
  • google-cloud-core ==2.3.3
  • google-cloud-storage ==2.5.0
  • google-crc32c ==1.5.0
  • google-pasta ==0.2.0
  • google-reauth ==0.1.1
  • google-resumable-media ==2.6.0
  • googleapis-common-protos ==1.60.0
  • gpustat ==1.1.1
  • gpy ==1.10.0
  • gpytorch ==1.10
  • gradio ==3.11.0
  • grapheme ==0.6.0
  • graphql-core ==3.2.3
  • graphviz ==0.20.1
  • greenlet ==3.0.0
  • grpcio ==1.59.0
  • grpcio-status ==1.48.2
  • gsutil ==5.26
  • gunicorn ==20.1.0
  • gym ==0.26.2
  • gym-notices ==0.0.8
  • gymnasium ==0.28.1
  • h11 ==0.12.0
  • h5py ==3.7.0
  • higher ==0.2.1
  • hjson ==3.1.0
  • hpbandster ==0.7.4
  • httpcore ==0.15.0
  • httplib2 ==0.20.4
  • httptools ==0.6.0
  • httpx ==0.24.1
  • huggingface-hub ==0.17.3
  • humanfriendly ==10.0
  • hyperopt ==0.2.7
  • idna ==3.4
  • imageio ==2.31.1
  • imageio-ffmpeg ==0.4.5
  • imagesize ==1.4.1
  • importlib-metadata ==4.10.0
  • importlib-resources ==5.13.0
  • iniconfig ==2.0.0
  • ipykernel ==6.25.2
  • ipython ==8.12.3
  • ipython-genutils ==0.2.0
  • ipywidgets ==7.8.1
  • isodate ==0.6.1
  • isoduration ==20.11.0
  • isort ==5.10.1
  • itsdangerous ==2.1.2
  • jax ==0.4.13
  • jax-jumpy ==1.0.0
  • jaxlib ==0.4.13
  • jedi ==0.19.1
  • jinja2 ==3.0.3
  • jmespath ==1.0.1
  • joblib ==1.2.0
  • jschema-to-python ==1.2.3
  • json5 ==0.9.14
  • jsondiff ==2.0.0
  • jsonpatch ==1.32
  • jsonpickle ==3.0.2
  • jsonpointer ==2.4
  • jsonschema ==4.17.3
  • jsonschema-spec ==0.1.6
  • junit-xml ==1.9
  • jupyter-cache ==0.4.3
  • jupyter-client ==7.3.4
  • jupyter-core ==5.3.2
  • jupyter-events ==0.6.3
  • jupyter-server ==1.24.0
  • jupyter-server-fileid ==0.9.0
  • jupyter-server-mathjax ==0.2.6
  • jupyter-server-ydoc ==0.6.1
  • jupyter-sphinx ==0.3.2
  • jupyter-ydoc ==0.2.5
  • jupyterlab ==3.6.1
  • jupyterlab-pygments ==0.2.2
  • jupyterlab-server ==2.24.0
  • jupyterlab-widgets ==1.1.7
  • jupytext ==1.13.6
  • kaggle-environments ==1.7.11
  • keras ==2.11.0
  • kiwisolver ==1.4.5
  • knack ==0.10.1
  • kubernetes ==24.2.0
  • labmaze ==1.0.6
  • lazy-object-proxy ==1.9.0
  • libclang ==16.0.6
  • lightgbm ==3.3.5
  • linear-operator ==0.4.0
  • linkify-it-py ==1.0.3
  • llvmlite ==0.39.1
  • locket ==1.0.0
  • lxml ==4.9.1
  • lz4 ==4.3.2
  • mako ==1.2.4
  • markdown ==3.4.4
  • markdown-it-py ==1.1.0
  • markupsafe ==2.1.3
  • matplotlib ==3.7.3
  • matplotlib-inline ==0.1.6
  • mccabe ==0.6.1
  • mdit-py-plugins ==0.2.8
  • memray ==1.10.0
  • minigrid ==2.1.1
  • mistune ==0.8.4
  • ml-dtypes ==0.2.0
  • mlagents-envs ==0.28.0
  • mlflow ==2.4.1
  • mock ==5.1.0
  • modin ==0.22.2
  • monotonic ==1.6
  • more-itertools ==10.1.0
  • moto ==4.0.7
  • mpmath ==1.3.0
  • msal ==1.18.0b1
  • msal-extensions ==1.0.0
  • msgpack ==1.0.7
  • msgpack-numpy ==0.4.8
  • msrest ==0.7.1
  • msrestazure ==0.6.4
  • mujoco ==2.3.6
  • multidict ==6.0.4
  • multipledispatch ==1.0.0
  • multiprocess ==0.70.15
  • mypy ==0.982
  • mypy-extensions ==1.0.0
  • myst-nb ==0.13.1
  • myst-parser ==0.15.2
  • nbclassic ==1.0.0
  • nbclient ==0.5.13
  • nbconvert ==6.5.4
  • nbdime ==3.2.1
  • nbformat ==5.9.2
  • nest-asyncio ==1.5.8
  • netifaces ==0.11.0
  • networkx ==2.6.3
  • nevergrad ==0.4.3.post7
  • ninja ==1.11.1
  • notebook ==6.5.6
  • notebook-shim ==0.2.3
  • numba ==0.56.4
  • numexpr ==2.8.4
  • numpy ==1.23.5
  • nvidia-ml-py ==12.535.108
  • oauth2client ==4.1.3
  • oauthlib ==3.2.2
  • onnx ==1.12.0
  • onnxruntime ==1.14.1
  • open-spiel ==1.2
  • openapi-schema-validator ==0.4.4
  • openapi-spec-validator ==0.5.7
  • opencensus ==0.11.3
  • opencensus-context ==0.1.3
  • opencensus-proto ==0.1.0
  • opencv-python ==4.8.1.78
  • openpyxl ==3.0.10
  • opentelemetry-api ==1.1.0
  • opentelemetry-exporter-opencensus ==0.20b0
  • opentelemetry-exporter-otlp ==1.1.0
  • opentelemetry-exporter-otlp-proto-grpc ==1.1.0
  • opentelemetry-proto ==1.1.0
  • opentelemetry-sdk ==1.1.0
  • opentelemetry-semantic-conventions ==0.20b0
  • opt-einsum ==3.3.0
  • optax ==0.1.7
  • optuna ==3.2.0
  • orbax-checkpoint ==0.2.3
  • orjson ==3.9.7
  • packaging ==21.3
  • pandas ==1.5.3
  • pandocfilters ==1.5.0
  • paramiko ==2.12.0
  • paramz ==0.9.5
  • parso ==0.8.3
  • partd ==1.4.1
  • path ==16.7.1
  • path-py ==12.5.0
  • pathable ==0.4.3
  • pathspec ==0.11.2
  • pathtools ==0.1.2
  • patsy ==0.5.3
  • pbr ==5.11.1
  • peewee ==3.16.3
  • pettingzoo ==1.23.1
  • pexpect ==4.8.0
  • pickleshare ==0.7.5
  • pillow ==9.2.0
  • pkginfo ==1.9.6
  • pkgutil-resolve-name ==1.3.10
  • platformdirs ==3.11.0
  • plotly ==5.17.0
  • pluggy ==1.3.0
  • polars ==0.14.21
  • portalocker ==2.8.2
  • prometheus-client ==0.17.1
  • promise ==2.3
  • prompt-toolkit ==3.0.39
  • proto-plus ==1.22.3
  • protobuf ==3.19.6
  • proxy-py ==2.4.3
  • psutil ==5.9.5
  • ptyprocess ==0.7.0
  • pure-eval ==0.2.2
  • py ==1.11.0
  • py-cpuinfo ==9.0.0
  • py-spy ==0.3.14
  • py3nvml ==0.2.7
  • py4j ==0.10.9.5
  • pyaml ==23.9.7
  • pyarrow ==12.0.1
  • pyasn1 ==0.5.0
  • pyasn1-modules ==0.3.0
  • pycodestyle ==2.7.0
  • pycparser ==2.21
  • pycryptodome ==3.19.0
  • pydantic ==1.10.12
  • pydata-sphinx-theme ==0.8.1
  • pydeprecate ==0.3.2
  • pydot ==1.4.2
  • pydub ==0.25.1
  • pyflakes ==2.3.1
  • pygame ==2.1.2
  • pyglet ==1.5.15
  • pygments ==2.13.0
  • pyjwt ==2.8.0
  • pymars ==0.10.0
  • pymongo ==4.3.2
  • pymoo ==0.6.0.1
  • pymunk ==6.2.1
  • pynacl ==1.5.0
  • pyopengl ==3.1.7
  • pyopenssl ==22.1.0
  • pyparsing ==3.1.1
  • pypng ==0.20220715.0
  • pyro-api ==0.1.2
  • pyro-ppl ==1.8.6
  • pyro4 ==4.82
  • pyrsistent ==0.19.3
  • pysocks ==1.7.1
  • pyspark ==3.3.1
  • pytest ==7.0.1
  • pytest-asyncio ==0.16.0
  • pytest-docker-tools ==3.1.3
  • pytest-fixture-config ==1.7.0
  • pytest-forked ==1.4.0
  • pytest-httpserver ==1.0.6
  • pytest-lazy-fixture ==0.6.3
  • pytest-remotedata ==0.3.2
  • pytest-repeat ==0.9.2
  • pytest-rerunfailures ==11.1.2
  • pytest-shutil ==1.7.0
  • pytest-sugar ==0.9.5
  • pytest-timeout ==2.1.0
  • pytest-virtualenv ==1.7.0
  • python-dateutil ==2.8.2
  • python-dotenv ==1.0.0
  • python-jose ==3.3.0
  • python-json-logger ==2.0.7
  • python-lsp-jsonrpc ==1.0.0
  • python-multipart ==0.0.6
  • python-snappy ==0.6.1
  • pytorch-lightning ==1.6.5
  • pytz ==2022.7.1
  • pyu2f ==0.1.5
  • pyvmomi ==8.0.2.0
  • pywavelets ==1.4.1
  • pyyaml ==6.0.1
  • pyzmq ==24.0.1
  • querystring-parser ==1.2.4
  • raydp ==1.7.0b20230919.dev0
  • recsim ==0.2.4
  • redis ==4.4.2
  • regex ==2023.10.3
  • requests ==2.31.0
  • requests-oauthlib ==1.3.1
  • requests-toolbelt ==1.0.0
  • responses ==0.13.4
  • restrictedpython ==6.2
  • retry-decorator ==1.1.1
  • rfc3339-validator ==0.1.4
  • rfc3986-validator ==0.1.1
  • rich ==12.6.0
  • rsa ==4.7.2
  • ruamel-yaml ==0.17.35
  • ruamel-yaml-clib ==0.2.8
  • s3fs ==2023.5.0
  • s3transfer ==0.6.2
  • safetensors ==0.3.3
  • sarif-om ==1.0.4
  • scikit-image ==0.19.3
  • scikit-learn ==1.0.2
  • scikit-optimize ==0.9.0
  • scipy ==1.10.1
  • segment-analytics-python ==2.2.0
  • semantic-version ==2.10.0
  • semgrep ==1.32.0
  • send2trash ==1.8.2
  • sentencepiece ==0.1.96
  • sentry-sdk ==1.31.0
  • serpent ==1.41
  • setproctitle ==1.3.3
  • shellcheck-py ==0.7.1.1
  • shimmy ==1.2.1
  • shortuuid ==1.0.1
  • sigopt ==7.5.0
  • six ==1.16.0
  • smart-open ==6.2.0
  • smmap ==5.0.1
  • sniffio ==1.3.0
  • snowballstemmer ==2.2.0
  • sortedcontainers ==2.4.0
  • soundfile ==0.12.1
  • soupsieve ==2.5
  • sphinx ==4.3.2
  • sphinx-book-theme ==0.3.3
  • sphinx-click ==3.0.2
  • sphinx-copybutton ==0.4.0
  • sphinx-design ==0.4.1
  • sphinx-external-toc ==0.2.4
  • sphinx-jsonschema ==1.17.2
  • sphinx-remove-toctrees ==0.0.3
  • sphinx-sitemap ==2.2.0
  • sphinx-tabs ==3.4.0
  • sphinx-togglebutton ==0.2.3
  • sphinx-version-warning ==1.1.2
  • sphinxcontrib-applehelp ==1.0.4
  • sphinxcontrib-devhelp ==1.0.2
  • sphinxcontrib-htmlhelp ==2.0.1
  • sphinxcontrib-jsmath ==1.0.1
  • sphinxcontrib-qthelp ==1.0.3
  • sphinxcontrib-redoc ==1.6.0
  • sphinxcontrib-serializinghtml ==1.1.5
  • sphinxemoji ==0.2.0
  • sqlalchemy ==1.4.17
  • sqlparse ==0.4.4
  • sshpubkeys ==3.3.1
  • stack-data ==0.6.3
  • starlette ==0.27.0
  • statsmodels ==0.14.0
  • supersuit ==3.8.0
  • sympy ==1.12
  • tabulate ==0.9.0
  • tblib ==2.0.0
  • tenacity ==8.2.3
  • tensorboard ==2.11.2
  • tensorboard-data-server ==0.6.1
  • tensorboard-plugin-wit ==1.8.1
  • tensorboardx ==2.6
  • tensorflow ==2.11.0
  • tensorflow-datasets ==4.9.0
  • tensorflow-estimator ==2.11.0
  • tensorflow-io-gcs-filesystem ==0.34.0
  • tensorflow-metadata ==1.13.0
  • tensorflow-probability ==0.19.0
  • tensorstore ==0.1.45
  • termcolor ==2.3.0
  • terminado ==0.17.1
  • testfixtures ==7.0.0
  • tf-slim ==1.1.0
  • tf2onnx ==1.13.0
  • threadpoolctl ==3.1.0
  • tifffile ==2023.7.10
  • timm ==0.9.2
  • tinycss2 ==1.2.1
  • tinyscaler ==1.2.6
  • tokenizers ==0.12.1
  • toml ==0.10.2
  • tomli ==2.0.1
  • tomlkit ==0.12.1
  • toolz ==0.12.0
  • torch ==2.0.1
  • torch-cluster ==1.6.1
  • torch-geometric ==2.3.1
  • torch-scatter ==2.1.1
  • torch-sparse ==0.6.17
  • torch-spline-conv ==1.2.2
  • torchdata ==0.6.1
  • torchmetrics ==0.10.3
  • torchtext ==0.15.2
  • torchvision ==0.15.2
  • tornado ==6.1
  • tqdm ==4.64.1
  • traitlets ==5.11.2
  • transformers ==4.19.1
  • trustme ==0.9.0
  • typeguard ==2.13.3
  • typer ==0.9.0
  • types-python-dateutil ==2.8.19.14
  • types-pyyaml ==6.0.12.2
  • typing-extensions ==4.5.0
  • uc-micro-py ==1.0.2
  • ujson ==5.8.0
  • uri-template ==1.3.0
  • uritemplate ==4.1.1
  • urllib3 ==1.26.17
  • uvicorn ==0.22.0
  • uvloop ==0.17.0
  • virtualenv ==20.21.0
  • wandb ==0.13.4
  • watchfiles ==0.19.0
  • wcmatch ==8.5
  • wcwidth ==0.2.8
  • webcolors ==1.13
  • webencodings ==0.5.1
  • websocket-client ==1.6.3
  • websockets ==11.0.3
  • werkzeug ==2.1.2
  • wheel ==0.41.2
  • widgetsnbextension ==3.6.6
  • wrapt ==1.15.0
  • wurlitzer ==3.0.3
  • xgboost ==1.7.6
  • xlrd ==2.0.1
  • xmltodict ==0.13.0
  • xxhash ==3.4.1
  • y-py ==0.6.2
  • yarl ==1.9.2
  • ypy-websocket ==0.8.4
  • yq ==3.2.2
  • zict ==3.0.0
  • zipp ==3.17.0
  • zoopt ==0.4.1
python/setup.py pypi
  • Light *
  • aiosignal *
  • click *
  • filelock *
  • frozenlist *
  • jsonschema *
  • msgpack *
  • numpy *
  • packaging *
  • protobuf *
  • pyyaml *
  • requests *
  • typing_extensions *
  • we *
release/ml_user_tests/horovod/driver_requirements.txt pypi
  • torch * test
  • torchvision * test
release/ml_user_tests/train/driver_requirements.txt pypi
  • tensorflow * test
  • torch * test
release/ml_user_tests/tune_rllib/driver_requirements.txt pypi
  • tblib * test
  • tensorflow * test
  • torch * test
release/ray_release/byod/requirements_byod_3.11.in pypi
release/ray_release/byod/requirements_byod_3.11.txt pypi
release/requirements.txt pypi
  • PyGithub *
  • anyscale *
  • boto3 *
  • click *
  • expiringdict *
  • google-cloud-storage *
  • jinja2 *
  • kubernetes *
  • protobuf >=3.15.3,
  • pybuildkite *
  • pydantic <1.10.0
  • python-dotenv *
  • pytz *
  • pyyaml *
  • requests *
  • retry *
  • slackclient *
  • toml *
  • typer *
  • xgboost_ray *
release/setup.py pypi
  • ray >=1.9
.github/workflows/on_pull_request_synchronized.yml actions
  • actions/github-script v7 composite
.github/workflows/stale_pull_request.yaml actions
  • actions/stale v9 composite
doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/requirements.txt pypi
  • ipywidgets ==8.1.3
  • matplotlib ==3.10.0
  • mlflow ==2.19.0
  • scikit-learn ==1.6.0
  • torch ==2.7.1
  • transformers ==4.52.3
python/ray/llm/_internal/common/observability/logging/setup.py pypi
release/ray_release/byod/requirements_ml_byod_3.10.in pypi
  • accelerate *
  • albumentations *
  • bitsandbytes *
  • boto3 *
  • cmake *
  • crc32c *
  • datasets *
  • decord *
  • deepspeed >=0.12.3
  • diffusers ==0.12.1
  • evaluate *
  • fairscale *
  • fastapi *
  • filelock *
  • gcsfs ==2023.12.1
  • gsutil *
  • ipywidgets *
  • jupytext *
  • lm_eval ==0.4.0
  • locust ==2.18.0
  • matplotlib *
  • memray *
  • modin *
  • numpy *
  • openai-whisper *
  • openskill *
  • orjson *
  • petastorm *
  • protobuf *
  • pyarrow *
  • pydantic >=2.5.0
  • pytest *
  • pytorch-lightning *
  • scikit-learn *
  • semidbm *
  • sentencepiece *
  • statsforecast *
  • tblib *
  • tensorboardX *
  • tiktoken *
  • torch ==2.3.0
  • torchaudio *
  • torchmetrics *
  • torchtext *
  • tqdm *
  • transformers *
  • triton ==2.3.0
  • trueskill *
  • typepy >=1.3.2
  • typer *
  • typing-extensions *
  • urllib3 *
  • uvicorn *
  • validators *
  • wandb *
  • xgboost *
.github/workflows/on_auto_merge.yaml actions
  • actions/github-script v5 composite
ci/docker/runtime_env_container/Dockerfile docker
  • $BASE_IMAGE latest build
doc/requirements-doc.lock.txt pypi
  • accessible-pygments ==0.0.5
  • alabaster ==0.7.16
  • annotated-types ==0.7.0
  • anyio ==4.11.0
  • appnope ==0.1.4
  • asttokens ==3.0.0
  • attrs ==25.4.0
  • autodoc-pydantic ==2.2.0
  • babel ==2.17.0
  • beautifulsoup4 ==4.14.2
  • boto3 ==1.34.69
  • botocore ==1.34.162
  • certifi ==2025.10.5
  • charset-normalizer ==3.4.4
  • click ==8.1.7
  • colorama ==0.4.6
  • comm ==0.2.3
  • debugpy ==1.8.17
  • decorator ==5.2.1
  • docutils ==0.20.1
  • exceptiongroup ==1.3.0
  • executing ==2.2.1
  • fastjsonschema ==2.21.2
  • greenlet ==3.2.4
  • h11 ==0.16.0
  • idna ==3.11
  • imagesize ==1.4.1
  • importlib-metadata ==8.7.0
  • ipykernel ==7.0.1
  • ipython ==8.37.0
  • jedi ==0.19.2
  • jinja2 ==3.1.6
  • jmespath ==1.0.1
  • jsonpointer ==3.0.0
  • jsonschema ==4.25.1
  • jsonschema-specifications ==2025.9.1
  • jupyter-cache ==0.6.1
  • jupyter-client ==8.6.3
  • jupyter-core ==5.9.1
  • jupytext ==1.15.2
  • markdown-it-py ==3.0.0
  • markupsafe ==3.0.3
  • matplotlib-inline ==0.1.7
  • mdit-py-plugins ==0.5.0
  • mdurl ==0.1.2
  • myst-nb ==1.0.0rc0
  • myst-parser ==2.0.0
  • nbclient ==0.7.4
  • nbformat ==5.10.4
  • nest-asyncio ==1.6.0
  • packaging ==25.0
  • parso ==0.8.5
  • pexpect ==4.9.0
  • platformdirs ==4.5.0
  • prompt-toolkit ==3.0.52
  • psutil ==7.1.0
  • ptyprocess ==0.7.0
  • pure-eval ==0.2.3
  • pydantic ==2.5.0
  • pydantic-core ==2.14.1
  • pydantic-settings ==2.2.1
  • pydata-sphinx-theme ==0.14.1
  • pygments ==2.16.1
  • python-dateutil ==2.9.0.post0
  • python-dotenv ==1.1.1
  • pyyaml ==6.0.3
  • pyzmq ==27.1.0
  • referencing ==0.37.0
  • requests ==2.32.3
  • rpds-py ==0.27.1
  • s3transfer ==0.10.4
  • six ==1.17.0
  • sniffio ==1.3.1
  • snowballstemmer ==3.0.1
  • soupsieve ==2.8
  • sphinx ==7.3.7
  • sphinx-autobuild ==2024.4.16
  • sphinx-click ==5.1.0
  • sphinx-copybutton ==0.5.2
  • sphinx-design ==0.5.0
  • sphinx-docsearch ==0.0.7
  • sphinx-jsonschema ==1.19.1
  • sphinx-remove-toctrees ==0.0.3
  • sphinx-sitemap ==2.5.1
  • sphinxcontrib-applehelp ==2.0.0
  • sphinxcontrib-devhelp ==2.0.0
  • sphinxcontrib-htmlhelp ==2.1.0
  • sphinxcontrib-jsmath ==1.0.1
  • sphinxcontrib-qthelp ==2.0.0
  • sphinxcontrib-redoc ==1.6.0
  • sphinxcontrib-serializinghtml ==2.0.0
  • sphinxemoji ==0.2.0
  • sqlalchemy ==2.0.44
  • stack-data ==0.6.3
  • starlette ==0.48.0
  • tabulate ==0.9.0
  • toml ==0.10.2
  • tomli ==2.3.0
  • tornado ==6.5.2
  • traitlets ==5.14.3
  • typing-extensions ==4.15.0
  • urllib3 ==1.26.20
  • uvicorn ==0.37.0
  • watchfiles ==1.1.1
  • wcwidth ==0.2.14
  • websockets ==15.0.1
  • zipp ==3.23.0
doc/source/ray-overview/examples/e2e-audio/requirements.txt pypi
  • accelerate ==1.7.0
  • datasets ==2.2.1
  • flashinfer-python ==0.2.2.post1
  • huggingface-hub ==0.32.6
  • pydantic ==2.9.2
  • transformers ==4.52.4
  • xgrammar ==0.1.19
doc/source/data/examples/unstructured_data_ingestion/content/Dockerfile docker
  • anyscale/ray 2.51.1-slim-py312 build
doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/uv.lock pypi
  • 179 dependencies
doc/source/ray-overview/examples/e2e-timeseries/pyproject.toml pypi
doc/source/ray-overview/examples/e2e-timeseries/requirements.in pypi
  • aiohttp *
  • nbformat *
  • numpy *
  • pandas *
  • pyyaml *
  • s3fs *
  • scikit-learn *
  • torch *
doc/source/ray-overview/examples/mcp-ray-serve/Dockerfile docker
  • anyscale/ray 2.47.1-py312 build
doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/Dockerfile docker
  • python 3.10-slim build
docker/base-slim/Dockerfile docker
  • $BASE_IMAGE latest build
  • ${BASE_IMAGE} latest build
  • main-build latest build
python/ray/dashboard/client/package.json npm
  • @testing-library/jest-dom ^5.16.5 development
  • @testing-library/react ^14.3.0 development
  • @testing-library/user-event ^14.4.3 development
  • @types/js-yaml ^4.0.5 development
  • @types/react ^18.3.0 development
  • @types/react-dom ^18.3.0 development
  • @typescript-eslint/eslint-plugin ^5.41.0 development
  • @typescript-eslint/parser ^5.41.0 development
  • eslint-plugin-import ^2.26.0 development
  • eslint-plugin-prefer-arrow ^1.2.3 development
  • mockdate ^3.0.5 development
  • npm ^8.19.2 development
  • prettier 2.3.0 development
  • @emotion/react ^11.11.3
  • @emotion/styled ^11.11.0
  • @mui/icons-material ^5.15.5
  • @mui/material ^5.15.5
  • @reduxjs/toolkit ^1.3.1
  • @types/jest ^27.5.2
  • @types/lodash ^4.14.161
  • @types/node 13.9.5
  • @types/react-redux ^7.1.7
  • @types/react-window ^1.8.2
  • axios ^0.21.1
  • copy-to-clipboard ^3.3.2
  • dayjs ^1.9.4
  • js-yaml ^4.1.0
  • lodash ^4.17.20
  • lowlight ^2.9.0
  • react ^18.3.0
  • react-dom ^18.3.0
  • react-icons ^4.7.1
  • react-router-dom ^6.4.3
  • react-scripts ^5.0.1
  • react-window ^1.8.5
  • swr ^2.1.0
  • typeface-roboto 0.0.75
  • typescript ^4.8.4
  • usehooks-ts ^2.9.4
doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/doggos/pyproject.toml pypi
release/nightly_tests/multimodal_inference_benchmarks/image_classification/requirements.in pypi
  • daft ==0.6.2 test
  • numpy ==1.26.4 test
  • pillow ==11.3.0 test
  • torch ==2.7.0 test
  • torchvision ==0.22.0 test
release/ray_release/byod/requirements_ml_byod_3.10.txt pypi
  • 263 dependencies
doc/source/serve/tutorials/deployment-serve-llm/gpt-oss/Dockerfile docker
  • anyscale/ray 2.49.0-slim-py312-cu128 build
doc/source/serve/tutorials/deployment-serve-llm/large-size-llm/Dockerfile docker
  • anyscale/ray 2.49.0-slim-py312-cu128 build
doc/source/serve/tutorials/deployment-serve-llm/medium-size-llm/Dockerfile docker
  • anyscale/ray 2.49.0-slim-py312-cu128 build
docker/base-extra/Dockerfile docker
  • "$BASE_IMAGE" latest build
  • $BASE_IMAGE latest build
  • main-build latest build
doc/source/ray-overview/examples/mcp-ray-serve/build-mcp-docker-image/requirements.txt pypi
  • httpx >=0.24.0
  • mcp >=1.2.0
  • pydantic ==2.9.2
python/requirements/cloud-requirements.txt pypi
  • Click >=7.0
  • GitPython *
  • adlfs *
  • aiohttp >=3.7.4.post0
  • azure-identity *
  • boto3 ==1.29.7
  • botocore ==1.32.7
  • certifi *
  • certifi >=2024.8.30
  • colorama *
  • google-auth *
  • google-cloud-storage *
  • grpcio >=1.66.1
  • grpcio-tools >=1.62.3
  • halo *
  • humanize *
  • ipywidgets *
  • jsonpatch *
  • jsonschema *
  • jupyterlab ==3.6.1
  • oauth2client *
  • openlineage-python >=1.36.0
  • packaging *
  • pathspec >=0.8.1
  • pycurl *
  • pyopenssl *
  • python-dateutil *
  • pyyaml *
  • requests *
  • rich *
  • six >=1.10
  • smart_open *
  • tabulate *
  • tqdm *
  • tzlocal *
  • urllib3 >=1.26.17
  • wrapt *
doc/source/serve/tutorials/deployment-serve-llm/small-size-llm/Dockerfile docker
  • anyscale/ray 2.49.0-slim-py312-cu128 build
docker/ray-llm/Dockerfile docker
  • "$BASE_IMAGE" latest build
ci/raydepsets/tests/test_data/requirements_test.txt pypi
  • emoji * test
  • pyperclip * test
doc/source/ray-overview/examples/e2e-multimodal-ai-workloads/pyproject.toml pypi
  • boto3 >=1.40.9
  • doggos *
  • ipykernel >=6.30.1
  • ipywidgets ==8.1.3
  • matplotlib ==3.10.0
  • mlflow ==2.19.0
  • ray [data,serve,train,tune]
  • scikit-learn ==1.6.0
  • torch ==2.7.1
  • transformers ==4.52.3
python/ray/dashboard/client/package-lock.json npm
  • 1575 dependencies
pyproject.toml pypi
python/requirements/security-requirements.txt pypi
  • certifi >=2025.1.31
  • idna >=3.7
ci/raydepsets/tests/test_data/requirements_compiled_test_update.txt pypi
  • emoji ==2.10.0 test
  • pyperclip ==1.6.0 test
ci/raydepsets/tests/test_data/requirement_constraints_test.txt pypi
  • emoji ==2.9.0 test
  • pyperclip <=1.6.0 test
doc/source/ray-overview/examples/e2e-audio/requirements.in pypi
  • accelerate *
  • datasets *
  • flashinfer-python <0.2.3
  • huggingface_hub *
  • pydantic *
  • torchaudio *
  • xgrammar >=0.1.18
doc/source/ray-overview/examples/e2e-timeseries/requirements.txt pypi
  • aiohttp ==3.11.16
  • nbformat ==5.9.2
  • numpy ==1.26.4
  • pandas ==2.3.0
  • pyyaml ==6.0.1
  • s3fs ==2023.5.0
  • scikit-learn ==1.3.2
  • torch ==2.3.0
doc/source/ray-overview/examples/e2e-xgboost/pyproject.toml pypi
doc/source/serve/tutorials/asynchronous-inference/content/requirements.txt pypi
  • PyPDF2 >=3.0.0
  • celery *
  • ray >=2.52.0
  • requests >=2.31.0
doc/source/ray-overview/examples/e2e-timeseries/requirements_dev.txt pypi
  • ipykernel * development
  • ipywidgets * development
release/nightly_tests/multimodal_inference_benchmarks/document_embedding/requirements.in pypi
  • accelerate ==1.10.1 test
  • daft ==0.6.2 test
  • langchain ==0.0.277 test
  • numpy ==1.26.4 test
  • pymupdf ==1.26.4 test
  • sentence-transformers ==5.1.1 test
  • transformers ==4.56.2 test
release/requirements-doc.txt pypi
  • Pygments ==2.16.1
  • appnope *
  • autodoc_pydantic ==2.2.0
  • boto3 ==1.34.69
  • click ==8.1.7
  • jupytext ==1.15.2
  • myst-nb ==1.0.0rc0
  • myst-parser ==2.0.0
  • pydantic ==2.5.0
  • pydata-sphinx-theme ==0.14.1
  • requests ==2.32.3
  • setuptools >=70.0.0
  • sphinx ==7.3.7
  • sphinx-autobuild ==2024.4.16
  • sphinx-click ==5.1.0
  • sphinx-copybutton ==0.5.2
  • sphinx-docsearch ==0.0.7
  • sphinx-jsonschema ==1.19.1
  • sphinx-remove-toctrees ==0.0.3
  • sphinx-sitemap ==2.5.1
  • sphinx_design ==0.5.0
  • sphinxcontrib-redoc ==1.6.0
  • sphinxemoji ==0.2.0
  • urllib3 <1.27
docker/base-deps/requirements.in pypi
  • adlfs *
  • boto3 *
  • cryptography *
  • cython *
  • flatbuffers *
  • google-api-python-client *
  • google-oauth *
  • numpy *
  • psutil *
  • pyopenssl *
  • setuptools ==80.9.0
  • six *
  • smart_open *
docker/base-extra/requirements.in pypi
  • anyscale >=0.26.74
  • azure-identity *
  • grpcio *
  • grpcio-tools *
  • ipywidgets *
  • jupyter_server_terminals ==0.4.4
  • jupyterlab *
release/nightly_tests/multimodal_inference_benchmarks/audio_transcription/requirements.in pypi
  • accelerate ==1.10.1 test
  • daft ==0.6.2 test
  • numpy ==1.26.4 test
  • soundfile ==0.13.1 test
  • torchaudio ==2.7.0 test
  • torchvision ==0.22.0 test
  • transformers ==4.56.2 test
ci/raydepsets/tests/test_data/requirements_compiled_test_expand.txt pypi
  • emoji ==2.9.0 test
  • pyperclip ==1.6.0 test
  • six ==1.17.0 test
python/ray/llm/_internal/serve/observability/logging/setup.py pypi
python/ray/tests/nsight_fake/setup.py pypi
doc/source/ray-overview/examples/e2e-xgboost/requirements_dev.txt pypi
  • jupytext * development
  • mypy * development
  • nbformat >=5.10.4 development
  • pre-commit ==4.1.0 development
  • ruff * development
python/requirements/base-test-requirements.txt pypi
  • pytest * test
  • pytest-aiohttp * test
  • pytest-asyncio * test
python/requirements/llm/llm-requirements.txt pypi
  • async-timeout *
  • hf_transfer *
  • jsonref >=1.1.0
  • jsonschema *
  • meson *
  • ninja *
  • nixl >=0.6.1
  • pybind11 *
  • transformers >=4.57.3
  • typer *
  • vllm >=0.12.0
release/nightly_tests/multimodal_inference_benchmarks/large_image_embedding/requirements.in pypi
  • daft ==0.6.2 test
  • pillow ==11.3.0 test
  • pybase64 ==1.4.2 test
  • torch ==2.5.0 test
  • transformers ==4.56.2 test
release/ray_release/byod/requirements_byod_3.10.in pypi
  • ale-py *
  • boto3 *
  • cmake *
  • crc32c *
  • cython *
  • fastapi *
  • gcsfs ==2023.12.1
  • gsutil *
  • gymnasium *
  • httpx *
  • importlib-metadata *
  • jsonschema *
  • lightgbm *
  • locust ==2.18.0
  • memray *
  • openskill *
  • orjson *
  • petastorm *
  • protobuf *
  • pyarrow *
  • pydantic >=2.5.0
  • pytest *
  • pyyaml *
  • requests >=2.31.0
  • s3fs *
  • scikit-learn *
  • scipy *
  • semidbm *
  • tblib *
  • tensorboardx ==2.6.2.2
  • tensorflow *
  • terminado *
  • tqdm *
  • trueskill *
  • typer *
  • typing-extensions *
  • xarray *
  • xgboost *
  • zarr *