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: 36.471336698553635
Last synced: about 7 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.
- Host: GitHub
- URL: https://github.com/ray-project/ray
- Owner: ray-project
- License: apache-2.0
- Created: 2016-10-25T19:38:30.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2026-08-18T11:30:18.000Z (7 days ago)
- Last Synced: 2026-08-18T12:34:07.002Z (7 days ago)
- Topics: 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
- Language: Python
- Homepage: https://ray.io
- Size: 745 MB
- Stars: 43,542
- Watchers: 479
- Forks: 7,931
- Open Issues: 3,509
-
Metadata Files:
- Readme: README.rst
- Contributing: CONTRIBUTING.rst
- License: LICENSE
- Codeowners: .github/CODEOWNERS
- Security: SECURITY.md
- Agents: AGENTS.md
Owner metadata:
- Name: ray-project
- Login: ray-project
- Email:
- Kind: organization
- Description:
- Website: https://ray.readthedocs.io/en/master/
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/22125274?v=4
- Repositories: 105
- Last Synced at: 2023-08-03T14:23:19.926Z
- Profile URL: https://github.com/ray-project
Committers metadata
Last synced: about 8 hours ago
Total Commits: 31,302
Total Committers: 1,575
Avg Commits per committer: 19.874
Development Distribution Score (DDS): 0.957
Commits in past year: 4,871
Committers in past year: 454
Avg Commits per committer in past year: 10.729
Development Distribution Score (DDS) in past year: 0.932
| Name | Commits | |
|---|---|---|
| Eric Liang | e****g@g****m | 1334 |
| Edward Oakes | e****s@g****m | 1194 |
| Sven Mika | s****7@g****m | 1170 |
| Lonnie Liu | 9****e | 991 |
| Cuong Nguyen | 1****e | 885 |
| Kai Fricke | k****e | 865 |
| Robert Nishihara | r****a@g****m | 850 |
| SangBin Cho | r****7@g****m | 814 |
| Balaji Veeramani | b****i@a****m | 801 |
| Philipp Moritz | p****z@g****m | 617 |
| Richard Liaw | r****w@b****u | 605 |
| Jiajun Yao | j****j@g****m | 581 |
| Simon Mo | s****o@h****m | 509 |
| Stephanie Wang | s****g@c****u | 476 |
| Amog Kamsetty | a****m | 450 |
| Yi Cheng | 7****g | 422 |
| Archit Kulkarni | a****i | 422 |
| Justin Yu | j****u@a****m | 377 |
| Cindy Zhang | c****9@g****m | 341 |
| Artur Niederfahrenhorst | a****r@a****m | 323 |
| Ian Rodney | i****y@g****m | 307 |
| Ricky Xu | x****7@h****m | 304 |
| kourosh hakhamaneshi | 3****a | 295 |
| Antoni Baum | a****m@p****m | 289 |
| dentiny | d****o@g****m | 287 |
| Chen Shen | s****9@g****m | 287 |
| Hao Chen | c****4@g****m | 284 |
| Dhyey Shah | d****9@g****m | 278 |
| Elliot Barnwell | e****l@a****m | 276 |
| matthewdeng | m****t@a****m | 272 |
| and 1545 more... | ||
Issue and Pull Request metadata
Last synced: about 22 hours ago
Total issues: 7,919
Total pull requests: 17,302
Average time to close issues: 11 months
Average time to close pull requests: 22 days
Total issue authors: 2,181
Total pull request authors: 1,044
Average comments per issue: 3.04
Average comments per pull request: 1.11
Merged pull request: 8,742
Bot issues: 1
Bot pull requests: 437
Past year issues: 695
Past year pull requests: 1,833
Past year average time to close issues: 10 days
Past year average time to close pull requests: 12 days
Past year issue authors: 195
Past year pull request authors: 360
Past year average comments per issue: 1.09
Past year average comments per pull request: 1.26
Past year merged pull request: 613
Past year bot issues: 0
Past year bot pull requests: 49
Top Issue Authors
- can-anyscale (2,140)
- rkooo567 (147)
- stephanie-wang (141)
- bveeramani (112)
- edoakes (104)
- kevin85421 (87)
- richardliaw (74)
- rickyyx (73)
- jjyao (70)
- scottsun94 (69)
- GeneDer (65)
- angelinalg (62)
- architkulkarni (58)
- justinvyu (53)
- MortalHappiness (51)
Top Pull Request Authors
- can-anyscale (1,170)
- aslonnie (1,005)
- dentiny (756)
- sven1977 (639)
- bveeramani (603)
- edoakes (583)
- dependabot[bot] (434)
- dayshah (405)
- rynewang (402)
- kevin85421 (398)
- zcin (393)
- jjyao (374)
- khluu (353)
- justinvyu (294)
- simonsays1980 (287)
Top Issue Labels
- bug (5,038)
- triage (3,765)
- core (2,038)
- stability (1,955)
- ray-test-bot (1,927)
- weekly-release-blocker (1,666)
- enhancement (1,566)
- flaky-tracker (1,484)
- ci-test (1,387)
- P1 (1,134)
- P0 (1,105)
- P2 (1,087)
- data (929)
- pending-cleanup (784)
- serve (783)
- release-test (724)
- rllib (597)
- docs (452)
- community-backlog (384)
- P3 (365)
- ml (339)
- jailed-test (243)
- train (234)
- tune (223)
- release-blocker (190)
- observability (187)
- unstable-release-test (171)
- stale (163)
- dashboard (157)
- usability (147)
Top Pull Request Labels
- go (7,097)
- core (1,192)
- community-contribution (887)
- stale (840)
- data (668)
- docs (563)
- dependencies (432)
- rllib (398)
- python (381)
- serve (369)
- tests-ok (233)
- unstale (196)
- rllib-newstack (193)
- release-blocker (172)
- triage (168)
- train (137)
- @author-action-required (133)
- P1 (130)
- devprod (128)
- v2.7.0-pick (125)
- release-test (98)
- observability (97)
- @external-author-action-required (85)
- P0 (80)
- rllib-docs-or-examples (79)
- P2 (78)
- llm (71)
- dashboard (70)
- bug (62)
- rllib-oldstack-cleanup (61)
Package metadata
- Total packages: 57
-
Total downloads:
- pypi: 61,919,255 last-month
- cargo: 4,278 total
- conda: 9,705,445 total
- Total docker downloads: 21,573,531
- Total dependent packages: 384 (may contain duplicates)
- Total dependent repositories: 3,922 (may contain duplicates)
- Total versions: 1,126
- Total maintainers: 25
- Total advisories: 12
pypi.org: ray
Ray provides a simple, universal API for building distributed applications.
- Homepage: https://github.com/ray-project/ray
- Documentation: https://ray.readthedocs.io/
- Licenses: Apache 2.0
- Latest release: 2.58.0 (published 3 days ago)
- Last Synced: 2026-08-24T15:35:28.198Z (1 day ago)
- Versions: 148
- Dependent Packages: 310
- Dependent Repositories: 3,641
- Downloads: 61,905,410 Last month
- Docker Downloads: 18,763,261
-
Rankings:
- Stargazers count: 0.07%
- Forks count: 0.081%
- Dependent packages count: 0.084%
- Dependent repos count: 0.166%
- Downloads: 0.201%
- Average: 0.212%
- Docker downloads count: 0.668%
- Maintainers (12)
-
Advisories:
- Ray: Arbitrary code execution via ray.data.read_webdataset default decoder: pickle.loads(value) and torch.load(weights_only=False)
- Ray: Remote Code Execution via Parquet Arrow Extension Type Deserialization
- Ray Dashboard is vulnerable to path traversal through its static file handling mechanism
- Ray dashboard DELETE endpoints allow unauthenticated browser-triggered DoS (Serve shutdown / job deletion)
- Ray's New Token Authentication is Disabled By Default
- Ray is vulnerable to Critical RCE via Safari & Firefox Browsers through DNS Rebinding Attack
- ray vulnerable to Insertion of Sensitive Information into Log File
- Withdrawn Advisory: Command injection in Ray
- Ray has arbitrary code execution via jobs submission API
- Ray Missing Authorization vulnerability
- Ray Path Traversal vulnerability
- Ray OS Command Injection vulnerability
pypi.org: ray-cpp
A subpackage of Ray which provides the Ray C++ API.
- Homepage: https://github.com/ray-project/ray
- Documentation: https://ray-cpp.readthedocs.io/
- Licenses: Apache 2.0
- Latest release: 2.58.0 (published 3 days ago)
- Last Synced: 2026-08-24T15:35:25.564Z (1 day ago)
- Versions: 98
- Dependent Packages: 2
- Dependent Repositories: 4
- Downloads: 8,936 Last month
- Docker Downloads: 2,791,706
-
Rankings:
- Stargazers count: 0.07%
- Forks count: 0.081%
- Docker downloads count: 0.679%
- Downloads: 1.718%
- Average: 2.2%
- Dependent packages count: 3.176%
- Dependent repos count: 7.478%
- Maintainers (8)
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 6 months ago)
- Last Synced: 2026-08-24T15:34:56.549Z (1 day 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
- Latest release: v2.55.1+incompatible (published 4 months ago)
- Last Synced: 2026-08-24T15:34:57.270Z (1 day ago)
- Versions: 2
- 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 about 1 year ago)
- Last Synced: 2026-08-24T15:39:01.716Z (1 day 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 almost 4 years ago)
- Last Synced: 2026-07-26T03:00:44.073Z (about 1 month 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 about 1 year ago)
- Last Synced: 2026-08-24T15:37:22.654Z (1 day 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 almost 4 years ago)
- Last Synced: 2026-03-27T04:09:15.767Z (5 months 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 over 3 years ago)
- Last Synced: 2026-08-24T15:36:28.813Z (1 day ago)
- Versions: 3
- Dependent Packages: 3
- Dependent Repositories: 1
- Downloads: 210 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 almost 4 years ago)
- Last Synced: 2026-03-27T04:09:04.034Z (5 months 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 over 4 years ago)
- Last Synced: 2026-08-24T15:36:20.568Z (1 day 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 over 4 years ago)
- Last Synced: 2026-08-24T15:39:01.829Z (1 day 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 almost 4 years ago)
- Last Synced: 2026-03-27T04:09:01.691Z (5 months 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 almost 4 years ago)
- Last Synced: 2026-04-01T16:14:30.303Z (5 months 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 almost 7 years ago)
- Last Synced: 2026-08-24T15:34:57.995Z (1 day ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 8 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 almost 4 years ago)
- Last Synced: 2026-03-27T04:08:49.125Z (5 months 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-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 almost 4 years ago)
- Last Synced: 2026-04-01T16:15:37.758Z (5 months 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-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 almost 4 years ago)
- Last Synced: 2026-03-27T04:08:54.669Z (5 months 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-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 almost 4 years ago)
- Last Synced: 2026-03-27T04:08:50.559Z (5 months 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 over 5 years ago)
- Last Synced: 2026-03-27T04:08:46.833Z (5 months 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: 2.56.1 (published 26 days ago)
- Last Synced: 2026-07-31T14:04:13.543Z (25 days ago)
- Versions: 10
- Dependent Packages: 3
- Dependent Repositories: 5
- Downloads: 5,591 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: 2.56.1 (published 26 days ago)
- Last Synced: 2026-07-31T14:04:16.152Z (25 days ago)
- Versions: 9
- Dependent Packages: 5
- Dependent Repositories: 4
- Downloads: 4,419 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: 2.56.1 (published 26 days ago)
- Last Synced: 2026-07-31T14:04:19.393Z (25 days ago)
- Versions: 8
- Dependent Packages: 2
- Dependent Repositories: 6
- Downloads: 4,356 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: 2.56.1 (published 26 days ago)
- Last Synced: 2026-07-31T14:04:10.347Z (25 days ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 236 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 over 4 years ago)
- Last Synced: 2026-08-24T15:35:27.625Z (1 day ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 9 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 over 4 years ago)
- Last Synced: 2026-08-24T15:34:28.291Z (1 day ago)
- Versions: 1
- Dependent Packages: 1
- Dependent Repositories: 0
- Downloads: 2,684 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 about 1 year ago)
- Last Synced: 2026-08-24T15:35:06.451Z (1 day 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 over 4 years ago)
- Last Synced: 2026-08-24T15:38:28.466Z (1 day 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 over 4 years ago)
- Last Synced: 2026-08-24T15:36:24.769Z (1 day 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: 2.56.1 (published 26 days ago)
- Last Synced: 2026-07-31T14:04:15.445Z (25 days ago)
- Versions: 6
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 3,030 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: 2.56.1 (published 26 days ago)
- Last Synced: 2026-07-31T14:04:14.208Z (25 days ago)
- Versions: 8
- Dependent Packages: 0
- Dependent Repositories: 2
- Downloads: 4,060 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-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: 2.56.1 (published 26 days ago)
- Last Synced: 2026-07-31T14:04:17.341Z (25 days ago)
- Versions: 6
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 2,966 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-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: 2.56.1 (published 26 days ago)
- Last Synced: 2026-07-31T14:04:14.806Z (25 days ago)
- Versions: 6
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 3,270 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: 2.56.1 (published 26 days ago)
- Last Synced: 2026-07-31T14:04:18.882Z (25 days ago)
- Versions: 6
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 3,132 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
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 about 1 year ago)
- Last Synced: 2026-08-24T15:36:02.410Z (1 day ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 64 Last month
-
Rankings:
- Dependent packages count: 8.743%
- Average: 29.005%
- Dependent repos count: 49.266%
- Maintainers (1)
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 7 months ago)
- Last Synced: 2026-08-24T15:36:46.487Z (1 day ago)
- Versions: 149
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 3,122 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 over 4 years ago)
- Last Synced: 2026-08-24T15:34:38.970Z (1 day ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 1,594 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 10 months ago)
- Last Synced: 2026-08-24T15:34:56.040Z (1 day ago)
- Versions: 5
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 23 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 over 1 year ago)
- Last Synced: 2026-08-24T15:34:58.010Z (1 day ago)
- Versions: 14
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 398 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 7 months ago)
- Last Synced: 2026-08-24T15:35:26.221Z (1 day ago)
- Versions: 127
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 1,075 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: 2026-08-24T15:37:24.433Z (1 day 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 about 1 year ago)
- Last Synced: 2026-08-24T15:35:36.458Z (1 day 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-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: 2.56.1 (published 26 days ago)
- Last Synced: 2026-07-31T14:04:16.813Z (25 days ago)
- Versions: 4
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 1,248 Total
-
Rankings:
- Dependent packages count: 46.651%
- Average: 48.97%
- Dependent repos count: 51.288%
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: 2.56.1 (published 26 days ago)
- Last Synced: 2026-07-31T14:04:12.788Z (25 days ago)
- Versions: 4
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 1,255 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: 2.56.1 (published 26 days ago)
- Last Synced: 2026-07-31T14:04:10.994Z (25 days ago)
- Versions: 4
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 1,293 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: 2.56.1 (published 26 days ago)
- Last Synced: 2026-07-31T14:04:17.839Z (25 days ago)
- Versions: 4
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 1,258 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: 2.56.1 (published 26 days ago)
- Last Synced: 2026-07-31T14:04:18.269Z (25 days ago)
- Versions: 4
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 1,316 Total
-
Rankings:
- Dependent packages count: 46.651%
- Average: 48.97%
- Dependent repos count: 51.288%
nixpkgs-unstable: python314Packages.ray
Unified framework for scaling AI and Python applications
- Homepage: https://github.com/ray-project/ray
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/ray/default.nix#L260
- Licenses: Apache-2.0
- Latest release: 2.54.0 (published 6 months ago)
- Last Synced: 2026-03-07T09:30:10.494Z (6 months ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Maintainers (1)
nixpkgs-23.05: python310Packages.ray
A unified framework for scaling AI and Python applications
- Homepage: https://github.com/ray-project/ray
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-23.05/pkgs/development/python-modules/ray/default.nix#L165
- Licenses: Apache-2.0
- Latest release: 2.4.0 (published 7 months ago)
- Last Synced: 2026-04-03T07:12:36.483Z (5 months ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
- Maintainers (1)
nixpkgs-23.11: python311Packages.ray
A unified framework for scaling AI and Python applications
- Homepage: https://github.com/ray-project/ray
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-23.11/pkgs/development/python-modules/ray/default.nix#L160
- Licenses: Apache-2.0
- Latest release: 2.7.0 (published 7 months ago)
- Last Synced: 2026-04-12T22:03:38.840Z (5 months ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
- Maintainers (1)
nixpkgs-23.11: python310Packages.ray
A unified framework for scaling AI and Python applications
- Homepage: https://github.com/ray-project/ray
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-23.11/pkgs/development/python-modules/ray/default.nix#L160
- Licenses: Apache-2.0
- Latest release: 2.7.0 (published 7 months ago)
- Last Synced: 2026-04-11T04:04:38.084Z (5 months ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
- Maintainers (1)
nixpkgs-24.11: python312Packages.ray
Unified framework for scaling AI and Python applications
- Homepage: https://github.com/ray-project/ray
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-24.11/pkgs/development/python-modules/ray/default.nix#L160
- Licenses: Apache-2.0
- Latest release: 2.38.0 (published 7 months ago)
- Last Synced: 2026-03-06T06:38:26.906Z (6 months ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Maintainers (1)
nixpkgs-24.05: python311Packages.ray
A unified framework for scaling AI and Python applications
- Homepage: https://github.com/ray-project/ray
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-24.05/pkgs/development/python-modules/ray/default.nix#L162
- Licenses: Apache-2.0
- Latest release: 2.10.0 (published 7 months ago)
- Last Synced: 2026-03-09T03:09:51.948Z (6 months ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
- Maintainers (1)
nixpkgs-24.05: python312Packages.ray
A unified framework for scaling AI and Python applications
- Homepage: https://github.com/ray-project/ray
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-24.05/pkgs/development/python-modules/ray/default.nix#L162
- Licenses: Apache-2.0
- Latest release: 2.10.0 (published 7 months ago)
- Last Synced: 2026-07-25T11:00:14.377Z (about 1 month ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
- Maintainers (1)
nixpkgs-unstable: python313Packages.ray
Unified framework for scaling AI and Python applications
- Homepage: https://github.com/ray-project/ray
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/ray/default.nix#L260
- Licenses: Apache-2.0
- Latest release: 2.54.0 (published 6 months ago)
- Last Synced: 2026-05-14T13:49:59.445Z (3 months ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
- Maintainers (1)
nixpkgs-23.05: python311Packages.ray
A unified framework for scaling AI and Python applications
- Homepage: https://github.com/ray-project/ray
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-23.05/pkgs/development/python-modules/ray/default.nix#L165
- Licenses: Apache-2.0
- Latest release: 2.4.0 (published 7 months ago)
- Last Synced: 2026-07-30T14:05:50.067Z (26 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
- Maintainers (1)
nixpkgs-24.11: python311Packages.ray
Unified framework for scaling AI and Python applications
- Homepage: https://github.com/ray-project/ray
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-24.11/pkgs/development/python-modules/ray/default.nix#L160
- Licenses: Apache-2.0
- Latest release: 2.38.0 (published 7 months ago)
- Last Synced: 2026-08-10T20:01:12.719Z (15 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
- Maintainers (1)
Dependencies
- boto3 *
- click *
- paramiko *
- pybuildkite *
- pyyaml *
- 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 *
- actions/checkout v4 composite
- actions/setup-python v5 composite
- absl-py ==1.4.0 test
- aiohappyeyeballs ==2.6.1 test
- aiohttp ==3.13.3 test
- aiohttp-cors ==0.7.0 test
- aiosignal ==1.3.2 test
- attrs ==25.3.0 test
- cachetools ==5.3.3 test
- certifi ==2025.1.31 test
- charset-normalizer ==3.4.1 test
- click ==8.1.8 test
- cloudpickle ==3.1.1 test
- colorama ==0.4.6 test
- cupy-cuda12x ==13.4.0 test
- dm-tree ==0.1.8 test
- fastrlock ==0.8.3 test
- filelock ==3.16.1 test
- frozenlist ==1.5.0 test
- google-auth ==2.38.0 test
- grpcio ==1.72.0 test
- idna ==3.10 test
- jinja2 ==3.1.6 test
- jsonschema ==4.23.0 test
- markupsafe ==2.1.3 test
- msgpack ==1.1.0 test
- multidict ==6.4.3 test
- numpy ==2.2.3 test
- packaging ==24.2 test
- protobuf ==5.29.4 test
- psutil ==7.0.0 test
- pyarrow ==19.0.1 test
- pydantic ==2.11.1 test
- pyyaml ==6.0.2 test
- requests ==2.32.3 test
- six ==1.17.0 test
- smart-open ==7.1.0 test
- torch ==2.7.0 test
- typing-extensions ==4.13.1 test
- urllib3 ==2.4.0 test
- wrapt ==1.17.2 test
- yarl ==1.20.0 test
- actions/github-script v7 composite
- actions/stale v9 composite
- actions/github-script v5 composite
- $BASE_IMAGE latest build
- emoji * test
- pyperclip * test
- emoji ==2.10.0 test
- pyperclip ==1.6.0 test
- emoji ==2.9.0 test
- pyperclip <=1.6.0 test
- emoji ==2.9.0 test
- pyperclip ==1.6.0 test
- six ==1.17.0 test
- emoji ==2.9.0 test
- pyperclip ==1.6.0 test