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Summary

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

https://github.com/narwhals-dev/narwhals

cudf dask duckdb ibis pandas polars pyarrow pyspark

Score: 31.166607687001697

Last synced: about 5 hours ago
JSON representation

Repository metadata:

Lightweight and extensible compatibility layer between dataframe libraries!

Owner metadata:

Committers metadata

Last synced: 1 day ago

Total Commits: 3,508
Total Committers: 149
Avg Commits per committer: 23.544
Development Distribution Score (DDS): 0.531

Commits in past year: 483
Committers in past year: 54
Avg Commits per committer in past year: 8.944
Development Distribution Score (DDS) in past year: 0.702

Name Email Commits
Marco Gorelli 3****i 1647
Francesco Bruzzesi 4****i 523
Dan Redding 1****d 258
raisadz 3****z 94
Dea María Léon d****n@g****m 84
renovate[bot] 2****] 74
Edoardo Abati 2****i 73
pre-commit-ci[bot] 6****] 51
Magdalena Kowalczuk 7****y 40
Liam Connors c****l@t****e 36
Nwabueze Ugoh 1****c 33
dependabot[bot] 4****] 31
ugohuche u****h@g****m 29
Zhengbo Wang l****5@g****m 28
Cameron 9****l 26
Franco Masotti f****i@t****m 26
Natalia Mokeeva n****e@g****m 26
Alessandro Miola 3****a 22
Aidos Kanapyanov 6****v 20
georgescutelnicu g****u@g****m 20
raisa 18
Jonas Dedden m****l@j****e 16
Luciano 6****p 15
github-actions[bot] 4****] 15
MatthewMec 1****c 14
Ezequiel Leonardo Castaño 1****C 11
Michèle Pettinato y****o@g****m 11
Stelios Kritsotalakis 1****s 11
Maren Westermann m****n@g****m 9
shriyakalakata s****3@g****m 8
and 119 more...

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 855
Total pull requests: 2,510
Average time to close issues: 23 days
Average time to close pull requests: 4 days
Total issue authors: 129
Total pull request authors: 167
Average comments per issue: 1.82
Average comments per pull request: 1.15
Merged pull request: 1,890
Bot issues: 1
Bot pull requests: 132

Past year issues: 125
Past year pull requests: 378
Past year average time to close issues: 30 days
Past year average time to close pull requests: 5 days
Past year issue authors: 38
Past year pull request authors: 67
Past year average comments per issue: 2.69
Past year average comments per pull request: 1.74
Past year merged pull request: 253
Past year bot issues: 1
Past year bot pull requests: 96

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

Top Issue Authors

  • MarcoGorelli (419)
  • FBruzzesi (87)
  • dangotbanned (84)
  • DeaMariaLeon (13)
  • ELC (12)
  • AdrianSosic (11)
  • anopsy (10)
  • schloerke (9)
  • lucaluo925 (8)
  • CangyuanLi (7)
  • lucas-nelson-uiuc (6)
  • ptimizeroracle (6)
  • maxzw (5)
  • pedro-villanueva-bcom (4)
  • danielgafni (4)

Top Pull Request Authors

  • MarcoGorelli (835)
  • FBruzzesi (463)
  • dangotbanned (256)
  • raisadz (75)
  • renovate[bot] (66)
  • EdAbati (62)
  • DeaMariaLeon (51)
  • LiamConnors (36)
  • brentomagic (33)
  • luke396 (31)
  • anopsy (30)
  • pre-commit-ci[bot] (27)
  • dependabot[bot] (25)
  • camriddell (25)
  • ELC (22)

Top Issue Labels

  • enhancement (173)
  • high priority (83)
  • documentation (64)
  • good first issue (60)
  • tests (42)
  • ci (37)
  • internal (37)
  • typing (34)
  • help wanted (33)
  • bug: incorrect result (30)
  • bug: it raises an error but shouldn't (29)
  • needs discussion (27)
  • api design (22)
  • performance (17)
  • Medium priority (16)
  • low priority (13)
  • pyarrow (13)
  • pandas-like (12)
  • upstream issue (11)
  • error reporting (9)
  • extensibility (8)
  • dtypes (8)
  • dependencies (7)
  • needs investigation (7)
  • pydata-amsterdam-2024-sprint (7)
  • reserved for sprint (6)
  • dask (6)
  • developer tools (6)
  • clean (5)
  • accepted (5)

Top Pull Request Labels

  • internal (546)
  • enhancement (493)
  • fix (240)
  • documentation (207)
  • typing (110)
  • dependencies (97)
  • release (94)
  • tests (69)
  • ci (54)
  • performance (53)
  • pyspark (39)
  • duckdb (30)
  • pandas-like (30)
  • pyarrow (28)
  • spark-like (28)
  • github_actions (24)
  • high priority (21)
  • polars (19)
  • pyspark-connect (17)
  • ibis (15)
  • dtypes (12)
  • extensibility (12)
  • error reporting (11)
  • build (9)
  • dask (9)
  • api design (9)
  • needs discussion (9)
  • deprecation (9)
  • breaking (7)
  • nested data (7)

Package metadata

nixpkgs-24.11: python312Packages.narwhals

Lightweight and extensible compatibility layer between dataframe libraries

proxy.golang.org: github.com/narwhals-dev/narwhals

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/narwhals-dev/narwhals#section-documentation
  • Licenses: mit
  • Latest release: v2.27.1+incompatible (published 28 days ago)
  • Last Synced: 2026-11-06T02:43:37.345Z (1 day ago)
  • Versions: 169
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 4.693%
    • Average: 4.85%
    • Dependent repos count: 5.008%
spack.io: py-narwhals

Extremely lightweight compatibility layer between dataframe libraries

  • Homepage: https://github.com/narwhals-dev/narwhals
  • Licenses: []
  • Latest release: 2.24.0 (published 3 months ago)
  • Last Synced: 2026-11-06T02:43:38.027Z (1 day ago)
  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 0.0%
    • Stargazers count: 16.675%
    • Forks count: 22.932%
    • Average: 24.221%
    • Dependent packages count: 57.276%
pypi.org: narwhals

Extremely lightweight compatibility layer between dataframe libraries

  • Homepage: https://github.com/narwhals-dev/narwhals
  • Documentation: https://narwhals-dev.github.io/narwhals/
  • Licenses: MIT
  • Latest release: 2.28.0 (published 11 days ago)
  • Last Synced: 2026-11-06T03:01:32.151Z (1 day ago)
  • Versions: 246
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 113,431,080 Last month
  • Docker Downloads: 65,320
  • Rankings:
    • Dependent packages count: 9.827%
    • Average: 37.336%
    • Dependent repos count: 64.846%
  • Maintainers (3)
anaconda.org: narwhals

Narwhals is an extremely lightweight compatibility layer between pandas, Polars, cuDF, and Modin. It allows you to write code that works with all of these libraries without having to worry about the differences between them.

  • Homepage: https://github.com/narwhals-dev/narwhals
  • Licenses: MIT
  • Latest release: 2.23.0 (published 4 months ago)
  • Last Synced: 2026-07-13T13:20:41.003Z (4 months ago)
  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 9,229 Total
  • Rankings:
    • Stargazers count: 29.003%
    • Forks count: 31.692%
    • Average: 39.292%
    • Dependent packages count: 45.953%
    • Dependent repos count: 50.52%
nixpkgs-unstable: python313Packages.narwhals

Lightweight and extensible compatibility layer between dataframe libraries

guix: python-narwhals-minimal

Compatibility layer between dataframe libraries

nixpkgs-unstable: python314Packages.narwhals

Lightweight and extensible compatibility layer between dataframe libraries

nixpkgs-24.11: python311Packages.narwhals

Lightweight and extensible compatibility layer between dataframe libraries

pkgsrc-netbsd-x86_64-10.1-all: misc/py-narwhals

Extremely lightweight compatibility layer between dataframe libraries

  • Homepage: https://github.com/narwhals-dev/narwhals
  • Documentation: https://pkgsrc.se/misc/py-narwhals
  • Licenses: mit
  • Latest release: 2.25.0 (published about 2 months ago)
  • Last Synced: 2026-09-28T00:00:40.139Z (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%
gentoo-portage: dev-python/narwhals

Extremely lightweight compatibility layer between dataframe libraries

  • Homepage: https://github.com/narwhals-dev/narwhals/
  • Documentation: https://packages.gentoo.org/packages/dev-python/narwhals
  • Licenses: MIT
  • Latest release: 2.21.2 (published 6 months ago)
  • Last Synced: 2026-05-27T02:28:49.621Z (5 months ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 0.0%
    • Dependent packages count: 0.0%
    • Average: 100%
guix: python-narwhals

Compatibility layer between dataframe libraries

Dependencies

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