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
JSON representation
Repository metadata:
Modin: Scale your Pandas workflows by changing a single line of code
- Host: GitHub
- URL: https://github.com/modin-project/modin
- Owner: modin-project
- License: apache-2.0
- Created: 2018-06-21T21:35:05.000Z (about 8 years ago)
- Default Branch: main
- Last Pushed: 2026-02-10T20:52:42.000Z (7 months ago)
- Last Synced: 2026-08-24T15:09:42.776Z (1 day ago)
- Topics: analytics, data-science, dataframe, datascience, distributed, modin, pandas, python, sql
- Language: Python
- Homepage: http://modin.readthedocs.io
- Size: 51.3 MB
- Stars: 10,390
- Watchers: 109
- Forks: 680
- Open Issues: 713
-
Metadata Files:
- Readme: README.md
- Contributing: contributing/clone_my_modin.png
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Codeowners: CODEOWNERS
- Support: docs/supported_apis/dataframe_supported.rst
- Notice: NOTICE
Owner metadata:
- Name: modin-project
- Login: modin-project
- Email:
- Kind: organization
- Description:
- Website: http://modin.org
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/40475955?v=4
- Repositories: 9
- Last Synced at: 2024-03-25T20:23:07.500Z
- Profile URL: https://github.com/modin-project
GitHub Events
Total
- Create event: 29
- Fork event: 21
- Issue comment event: 101
- Issues event: 215
- Pull request event: 218
- Pull request review comment event: 497
- Pull request review event: 430
- Push event: 220
- Release event: 3
- Watch event: 466
- Total: 2200
Last Year
- Create event: 2
- Fork event: 5
- Issue comment event: 7
- Issues event: 21
- Pull request event: 19
- Pull request review comment event: 37
- Pull request review event: 33
- Push event: 33
- Release event: 1
- Watch event: 61
- Total: 219
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 | 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
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 đĻ (1,484)
- P2 (659)
- new feature/request đŦ (575)
- P1 (420)
- P3 (373)
- HDK (363)
- Performance đ (351)
- pandas concordance đŧ (330)
- Code Quality đ¯ (318)
- Testing đ (261)
- documentation đ (236)
- External (181)
- dependencies đ (144)
- question â (139)
- P0 (124)
- CI (114)
- Needs more information â (111)
- Internals (111)
- pandas.series (86)
- Ray ⥠(85)
- Triage 𩹠(80)
- good first issue đ° (69)
- pandas.groupby (68)
- pandas.io (60)
- pandas.dataframe (60)
- Dask ⥠(49)
- Epic (49)
- Benchmarking đ (47)
- Regression âŠī¸ (37)
- Backport :back: (33)
Top Pull Request Labels
- Ready for review (600)
- hybrid-execution (62)
- P0 (35)
- documentation đ (22)
- HDK (19)
- P1 (17)
- bug đĻ (15)
- Testing đ (11)
- Backport :back: (11)
- Code Quality đ¯ (9)
- Performance đ (9)
- Blocked â (8)
- dependencies đ (7)
- Needs Review (4)
- CI (4)
- partitions reshuffling đ (3)
- External (3)
- Ray ⥠(3)
- Cloud âī¸ (3)
- python (2)
- Benchmarking đ (2)
- new feature/request đŦ (2)
- XGBoost (2)
- Memory đž (1)
- pandas concordance đŧ (1)
- Internals (1)
- sql (1)
- Regression âŠī¸ (1)
Package metadata
- Total packages: 19
-
Total downloads:
- conda: 174,340
- pypi: 1,450,142 last-month
- Total docker downloads: 24,495,698
- Total dependent packages: 56 (may contain duplicates)
- Total dependent repositories: 310 (may contain duplicates)
- Total versions: 377
- Total maintainers: 8
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
- Homepage: https://github.com/modin-project/modin
- Documentation: https://git.savannah.gnu.org/cgit/guix.git/tree/gnu/packages/python-science.scm#n1726
- Licenses: asl2.0
- Latest release: 0.37.1 (published 6 months ago)
- Last Synced: 2026-04-27T16:42:22.062Z (4 months ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
Dependencies
- fsspec >=2022.11.0
- numpy >=1.22.4
- packaging >=21.0
- pandas >=2.2,<2.4
- psutil >=5.8.0
- typing-extensions *
- ./.github/actions/run-core-tests/group_1 * composite
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- ./.github/actions/run-core-tests/group_1 * composite
- ./.github/actions/run-core-tests/group_2 * composite
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- conda-incubator/setup-miniconda v3 composite
- dorny/paths-filter v3 composite
- nick-fields/retry v3 composite
- ${{(matrix.os=='ubuntu'&&(matrix.engine=='python'||matrix.engine=='native'||matrix.test_task=='group_4'))&&'motoserver/moto 5.0.13' || '' }} docker
- ${{matrix.os!='windows'&&'motoserver/moto 5.0.13' || '' }} docker
- motoserver/moto 5.0.13 docker
- actions/checkout v4 composite
- github/codeql-action/analyze v3 composite
- github/codeql-action/autobuild v3 composite
- github/codeql-action/init v3 composite
- continuumio/miniconda3 latest build
- actions/cache v4 composite
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- motoserver/moto 5.0.13 docker
- ubuntu 20.04 build
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- ./.github/actions/mamba-env * composite
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- actions/upload-artifact v4 composite
- pypa/gh-action-pypi-publish release/v1 composite
- continuumio/miniconda3 latest build
- continuumio/miniconda3 latest build
- continuumio/miniconda3 latest build
- click *
- colorama *
- flatbuffers *
- funcsigs *
- mock *
- opencv-python *
- pydata_sphinx_theme *
- pyyaml *
- ray >=2.10.0,<3
- recommonmark *
- sphinx <6.0.0
- sphinx-click *
- sphinx-issues *
- sphinxcontrib_plantuml *
- fsspec >=2022.11.0
- ipywidgets *
- jupyterlab *
- modin *
- Jinja2 >=3.1.2 development
- PyGithub >=1.58.0 development
- asv ==0.5.1 development
- black >=24.1.0 development
- connectorx >=0.2.6a4 development
- coverage >=7.1.0 development
- dask >=2.22.0 development
- dataframe-api-compat >=0.2.7 development
- distributed >=2.22.0 development
- fastparquet >=2022.12.0 development
- flake8 >=6.0.0 development
- flake8-no-implicit-concat >=0.3.4 development
- flake8-print >=5.0.0 development
- flask-cors * development
- fsspec >=2022.11.0 development
- fuzzydata >=0.0.11 development
- isort >=5.12 development
- lxml >=4.9.2 development
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- numpydoc ==1.1.0 development
- openpyxl >=3.1.0 development
- packaging >=21.0 development
- pandas >=2.2,<2.4 development
- pandas-gbq >=0.19.0 development
- pandas-stubs >=2.0.0 development
- psutil >=5.8.0 development
- psycopg2-binary >=2.9.3 development
- pyarrow >=10.0.1 development
- pygit2 >=1.9.2 development
- pymssql >=2.1.5, development
- pytest >=7.3.2 development
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- s3fs >=2022.11.0 development
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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