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

analytics data-science dataframe datascience distributed modin pandas python sql

Score: 31.35605165396749

Last synced: about 11 hours ago
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Repository metadata:

Modin: Scale your Pandas workflows by changing a single line of code


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 6 days ago

Total Commits: 3,020
Total Committers: 143
Avg Commits per committer: 21.119
Development Distribution Score (DDS): 0.767

Commits in past year: 17
Committers in past year: 5
Avg Commits per committer in past year: 3.4
Development Distribution Score (DDS) in past year: 0.706

Name Email Commits
Anatoly Myachev a****v@i****m 704
Devin Petersohn d****n 572
Dmitry Chigarev 6****v 250
YarShev y****v@i****m 162
Mahesh Vashishtha m****a 154
Vasilij Litvinov v****v@i****m 110
Andrey Pavlenko a****o@g****m 101
amyskov 5****v 92
Alexey Prutskov a****v@i****m 85
Gregory Shimansky g****y@i****m 74
William Ma 1****2 68
Mahesh Vashishtha m****a@s****m 58
Rehan Sohail Durrani r****n@p****o 50
ienkovich i****h@i****m 41
Jonathan Shi j****7@g****m 40
Arun Jose 4****6 31
Karthik Velayutham v****k@p****o 27
Omkar Salpekar o****r@b****u 27
Jonathan Shi 1****i 26
Igor Zamyatin i****n@i****m 21
John Kew j****w@s****m 20
Kirill Suvorov k****v@i****m 18
Naren Krishna 9****r 18
Simon Mo x****o@b****u 16
jeffreykennethli j****i@p****o 14
Eran Avidan e****n@g****m 13
jbrockmendel j****l@g****m 11
Kunal Gosar g****9@g****m 11
Rubtsowa m****a@i****m 11
Rehan Sohail Durrani r****i@b****u 8
and 113 more...

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 4,261
Total pull requests: 3,662
Average time to close issues: 5 months
Average time to close pull requests: 21 days
Total issue authors: 654
Total pull request authors: 167
Average comments per issue: 1.7
Average comments per pull request: 3.7
Merged pull request: 3,132
Bot issues: 0
Bot pull requests: 8

Past year issues: 26
Past year pull requests: 38
Past year average time to close issues: 3 days
Past year average time to close pull requests: 6 days
Past year issue authors: 8
Past year pull request authors: 11
Past year average comments per issue: 0.27
Past year average comments per pull request: 0.21
Past year merged pull request: 25
Past year bot issues: 0
Past year bot pull requests: 0

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

Top Issue Authors

  • anmyachev (705)
  • devin-petersohn (338)
  • dchigarev (331)
  • mvashishtha (244)
  • aregm (214)
  • YarShev (190)
  • gshimansky (121)
  • amyskov (120)
  • vnlitvinov (111)
  • prutskov (97)
  • Rubtsowa (88)
  • AndreyPavlenko (77)
  • ienkovich (73)
  • sfc-gh-mvashishtha (72)
  • RehanSD (61)

Top Pull Request Authors

  • anmyachev (908)
  • devin-petersohn (568)
  • dchigarev (285)
  • YarShev (195)
  • mvashishtha (171)
  • sfc-gh-mvashishtha (139)
  • AndreyPavlenko (111)
  • vnlitvinov (97)
  • prutskov (88)
  • williamma12 (81)
  • amyskov (79)
  • RehanSD (78)
  • noloerino (58)
  • gshimansky (54)
  • arunjose696 (52)

Top Issue Labels

  • bug đŸĻ— (1,484)
  • P2 (659)
  • new feature/request đŸ’Ŧ (575)
  • P1 (420)
  • P3 (373)
  • HDK (363)
  • Performance 🚀 (351)
  • pandas concordance đŸŧ (330)
  • Code Quality đŸ’¯ (318)
  • Testing 📈 (261)
  • documentation 📜 (236)
  • External (181)
  • dependencies 🔗 (144)
  • question ❓ (139)
  • P0 (124)
  • CI (114)
  • Needs more information ❔ (111)
  • Internals (111)
  • pandas.series (86)
  • Ray ⚡ (85)
  • Triage 🩹 (80)
  • good first issue 🔰 (69)
  • pandas.groupby (68)
  • pandas.io (60)
  • pandas.dataframe (60)
  • Dask ⚡ (49)
  • Epic (49)
  • Benchmarking 🏁 (47)
  • Regression â†Šī¸ (37)
  • Backport :back: (33)

Top Pull Request Labels

  • Ready for review (600)
  • hybrid-execution (62)
  • P0 (35)
  • documentation 📜 (22)
  • HDK (19)
  • P1 (17)
  • bug đŸĻ— (15)
  • Testing 📈 (11)
  • Backport :back: (11)
  • Code Quality đŸ’¯ (9)
  • Performance 🚀 (9)
  • Blocked ❌ (8)
  • dependencies 🔗 (7)
  • Needs Review (4)
  • CI (4)
  • partitions reshuffling 🔀 (3)
  • External (3)
  • Ray ⚡ (3)
  • Cloud â˜ī¸ (3)
  • python (2)
  • Benchmarking 🏁 (2)
  • new feature/request đŸ’Ŧ (2)
  • XGBoost (2)
  • Memory 💾 (1)
  • pandas concordance đŸŧ (1)
  • Internals (1)
  • sql (1)
  • Regression â†Šī¸ (1)

Package metadata

pypi.org: modin

Modin: Make your pandas code run faster by changing one line of code.

  • Homepage: https://github.com/modin-project/modin
  • Documentation: https://modin.readthedocs.io/
  • Licenses: Apache 2
  • Latest release: 0.37.1 (published 11 months ago)
  • Last Synced: 2026-08-24T15:02:47.466Z (1 day ago)
  • Versions: 110
  • Dependent Packages: 18
  • Dependent Repositories: 302
  • Downloads: 1,450,142 Last month
  • Docker Downloads: 24,495,698
  • Rankings:
    • Stargazers count: 0.263%
    • Downloads: 0.328%
    • Dependent packages count: 0.595%
    • Docker downloads count: 0.71%
    • Average: 0.782%
    • Dependent repos count: 0.842%
    • Forks count: 1.952%
  • Maintainers (7)
proxy.golang.org: github.com/Modin-project/modin

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/Modin-project/modin#section-documentation
  • Licenses: apache-2.0
  • Latest release: v0.6.3 (published almost 7 years ago)
  • Last Synced: 2026-08-24T15:05:15.539Z (1 day ago)
  • Versions: 19
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 4.73%
    • Average: 4.889%
    • Dependent repos count: 5.048%
proxy.golang.org: github.com/modin-project/modin

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/modin-project/modin#section-documentation
  • Licenses: apache-2.0
  • Latest release: v0.6.3 (published almost 7 years ago)
  • Last Synced: 2026-08-24T15:02:48.331Z (1 day ago)
  • Versions: 19
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 6.521%
    • Average: 6.74%
    • Dependent repos count: 6.959%
conda-forge.org: modin-core

  • Homepage: https://github.com/modin-project/modin
  • Licenses: Apache-2.0
  • Latest release: 0.17.0 (published almost 4 years ago)
  • Last Synced: 2026-04-01T03:21:39.637Z (5 months ago)
  • Versions: 22
  • Dependent Packages: 9
  • Dependent Repositories: 1
  • Rankings:
    • Stargazers count: 3.284%
    • Dependent packages count: 6.452%
    • Forks count: 6.647%
    • Average: 10.198%
    • Dependent repos count: 24.407%
conda-forge.org: modin-dask

  • Homepage: https://github.com/modin-project/modin
  • Licenses: Apache-2.0
  • Latest release: 0.17.0 (published almost 4 years ago)
  • Last Synced: 2026-08-12T01:02:14.616Z (14 days ago)
  • Versions: 22
  • Dependent Packages: 5
  • Dependent Repositories: 1
  • Rankings:
    • Stargazers count: 3.284%
    • Forks count: 6.647%
    • Dependent packages count: 10.42%
    • Average: 11.189%
    • Dependent repos count: 24.407%
conda-forge.org: modin

  • Homepage: https://github.com/modin-project/modin
  • Licenses: Apache-2.0
  • Latest release: 0.17.0 (published almost 4 years ago)
  • Last Synced: 2026-04-01T03:21:44.888Z (5 months ago)
  • Versions: 31
  • Dependent Packages: 3
  • Dependent Repositories: 2
  • Rankings:
    • Stargazers count: 3.284%
    • Forks count: 6.647%
    • Average: 11.461%
    • Dependent packages count: 15.649%
    • Dependent repos count: 20.265%
conda-forge.org: modin-ray

  • Homepage: https://github.com/modin-project/modin
  • Licenses: Apache-2.0
  • Latest release: 0.17.0 (published almost 4 years ago)
  • Last Synced: 2026-04-01T03:21:26.250Z (5 months ago)
  • Versions: 22
  • Dependent Packages: 4
  • Dependent Repositories: 0
  • Rankings:
    • Stargazers count: 3.085%
    • Forks count: 6.169%
    • Dependent packages count: 12.433%
    • Average: 13.928%
    • Dependent repos count: 34.025%
spack.io: py-modin

Modin: Make your pandas code run faster by changing one line of code.

  • Homepage: https://github.com/modin-project/modin
  • Licenses: []
  • Latest release: 0.16.2 (published almost 4 years ago)
  • Last Synced: 2026-08-24T15:02:47.994Z (1 day ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 0.0%
    • Stargazers count: 1.251%
    • Forks count: 3.793%
    • Average: 15.579%
    • Dependent packages count: 57.274%
  • Maintainers (1)
conda-forge.org: modin-omnisci

  • Homepage: https://github.com/modin-project/modin
  • Licenses: Apache-2.0
  • Latest release: 0.15.3 (published almost 4 years ago)
  • Last Synced: 2026-04-01T16:16:01.060Z (5 months ago)
  • Versions: 18
  • Dependent Packages: 2
  • Dependent Repositories: 0
  • Downloads: 166,036 Total
  • Rankings:
    • Stargazers count: 3.085%
    • Forks count: 6.169%
    • Average: 15.696%
    • Dependent packages count: 19.506%
    • Dependent repos count: 34.025%
anaconda.org: modin-core

Modin is a drop-in replacement for pandas. While pandas is single-threaded, Modin lets you instantly speed up your workflows by scaling pandas so it uses all of your cores. Modin works especially well on larger datasets, where pandas becomes painfully slow or runs out of memory.

  • Homepage: https://github.com/modin-project/modin
  • Licenses: Apache-2.0 AND BSD-3-Clause
  • Latest release: 0.37.1 (published 11 months ago)
  • Last Synced: 2026-03-08T22:55:37.674Z (6 months ago)
  • Versions: 15
  • Dependent Packages: 7
  • Dependent Repositories: 1
  • Rankings:
    • Dependent packages count: 5.98%
    • Stargazers count: 8.577%
    • Forks count: 13.984%
    • Average: 19.986%
    • Dependent repos count: 51.404%
anaconda.org: modin-dask

Modin is a drop-in replacement for pandas. While pandas is single-threaded, Modin lets you instantly speed up your workflows by scaling pandas so it uses all of your cores. Modin works especially well on larger datasets, where pandas becomes painfully slow or runs out of memory.

  • Homepage: https://github.com/modin-project/modin
  • Licenses: Apache-2.0 AND BSD-3-Clause
  • Latest release: 0.37.1 (published 11 months ago)
  • Last Synced: 2026-03-08T22:55:36.715Z (6 months ago)
  • Versions: 15
  • Dependent Packages: 4
  • Dependent Repositories: 1
  • Rankings:
    • Stargazers count: 8.577%
    • Dependent packages count: 11.114%
    • Forks count: 13.984%
    • Average: 21.27%
    • Dependent repos count: 51.404%
anaconda.org: modin-ray

Modin is a drop-in replacement for pandas. While pandas is single-threaded, Modin lets you instantly speed up your workflows by scaling pandas so it uses all of your cores. Modin works especially well on larger datasets, where pandas becomes painfully slow or runs out of memory.

  • Homepage: https://github.com/modin-project/modin
  • Licenses: Apache-2.0 AND BSD-3-Clause
  • Latest release: 0.37.1 (published 11 months ago)
  • Last Synced: 2026-03-08T22:55:26.290Z (6 months ago)
  • Versions: 15
  • Dependent Packages: 3
  • Dependent Repositories: 0
  • Rankings:
    • Stargazers count: 8.556%
    • Dependent packages count: 12.58%
    • Forks count: 13.324%
    • Average: 23.039%
    • Dependent repos count: 57.694%
conda-forge.org: modin-hdk

  • Homepage: https://github.com/modin-project/modin
  • Licenses: Apache-2.0
  • Latest release: 0.17.0 (published almost 4 years ago)
  • Last Synced: 2026-04-01T01:59:02.601Z (5 months ago)
  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Stargazers count: 3.085%
    • Forks count: 6.169%
    • Average: 23.614%
    • Dependent repos count: 34.025%
    • Dependent packages count: 51.175%
conda-forge.org: modin-all

  • Homepage: https://github.com/modin-project/modin
  • Licenses: Apache-2.0
  • Latest release: 0.17.0 (published almost 4 years ago)
  • Last Synced: 2026-04-01T01:58:20.604Z (5 months ago)
  • Versions: 22
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Stargazers count: 3.085%
    • Forks count: 6.169%
    • Average: 23.614%
    • Dependent repos count: 34.025%
    • Dependent packages count: 51.175%
anaconda.org: modin

Modin is a drop-in replacement for pandas. While pandas is single-threaded, Modin lets you instantly speed up your workflows by scaling pandas so it uses all of your cores. Modin works especially well on larger datasets, where pandas becomes painfully slow or runs out of memory.

  • Homepage: https://github.com/modin-project/modin
  • Licenses: Apache-2.0 AND BSD-3-Clause
  • Latest release: 0.37.1 (published 11 months ago)
  • Last Synced: 2026-03-08T22:55:38.548Z (6 months ago)
  • Versions: 17
  • Dependent Packages: 1
  • Dependent Repositories: 2
  • Rankings:
    • Stargazers count: 8.577%
    • Forks count: 13.984%
    • Average: 25.529%
    • Dependent packages count: 30.655%
    • Dependent repos count: 48.898%
anaconda.org: modin-all

Modin is a drop-in replacement for pandas. While pandas is single-threaded, Modin lets you instantly speed up your workflows by scaling pandas so it uses all of your cores. Modin works especially well on larger datasets, where pandas becomes painfully slow or runs out of memory.

  • Homepage: https://github.com/modin-project/modin
  • Licenses: Apache-2.0 AND BSD-3-Clause
  • Latest release: 0.37.1 (published 11 months ago)
  • Last Synced: 2026-03-10T15:15:09.534Z (6 months ago)
  • Versions: 15
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 8,304 Total
  • Rankings:
    • Stargazers count: 8.556%
    • Forks count: 13.324%
    • Average: 29.844%
    • Dependent packages count: 39.804%
    • Dependent repos count: 57.694%
anaconda.org: modin-omnisci

  • Homepage: https://github.com/modin-project/modin
  • Licenses: Apache-2.0
  • Latest release: 0.15.2 (published about 4 years ago)
  • Last Synced: 2026-04-01T01:57:40.265Z (5 months ago)
  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Stargazers count: 8.827%
    • Forks count: 13.629%
    • Average: 29.988%
    • Dependent packages count: 39.804%
    • Dependent repos count: 57.694%
anaconda.org: modin-mpi

Modin is a drop-in replacement for pandas. While pandas is single-threaded, Modin lets you instantly speed up your workflows by scaling pandas so it uses all of your cores. Modin works especially well on larger datasets, where pandas becomes painfully slow or runs out of memory.

  • Homepage: https://github.com/modin-project/modin
  • Licenses: Apache-2.0 AND BSD-3-Clause
  • Latest release: 0.37.1 (published 11 months ago)
  • Last Synced: 2026-03-08T22:55:25.763Z (6 months ago)
  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 43.702%
    • Average: 45.874%
    • Dependent repos count: 48.045%
guix: python-modin

Make your pandas code run faster


Dependencies

.github/actions/run-core-tests/group_2/action.yml actions
setup.py pypi
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examples/tutorial/jupyter/execution/pandas_on_unidist/Dockerfile docker
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examples/spreadsheet/requirements.txt pypi
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examples/tutorial/jupyter/execution/pandas_on_ray/requirements.txt pypi
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docker/Dockerfile docker
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docs/requirements-doc.txt pypi
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examples/tutorial/jupyter/execution/pandas_on_dask/requirements.txt pypi
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requirements-dev.txt pypi
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  • sqlalchemy >=2.0.0 development
  • tables >=3.7.0 development
  • tqdm >=4.60.0 development
  • typing_extensions * development
  • xarray >=2022.12.0 development
  • xlrd >=2.0.1 development