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https://github.com/data-apis/array-api-compat

Compatibility layer for common array libraries to support the Array API

https://github.com/data-apis/array-api-compat

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
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    Academic email domains
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (3.9%) to scientific vocabulary

Keywords

array-api cupy dask numpy pytorch
Last synced: 5 months ago · JSON representation

Repository

Compatibility layer for common array libraries to support the Array API

Basic Info
Statistics
  • Stars: 102
  • Watchers: 19
  • Forks: 37
  • Open Issues: 33
  • Releases: 20
Topics
array-api cupy dask numpy pytorch
Created over 3 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog Contributing License Support

README.md

Array API compatibility library

This is a small wrapper around common array libraries that is compatible with the Array API standard. Currently, NumPy, CuPy, PyTorch, Dask, JAX, ndonnx and sparse are supported. If you want support for other array libraries, or if you encounter any issues, please open an issue.

See the documentation for more details https://data-apis.org/array-api-compat/

Owner

  • Name: Consortium for Python Data API Standards
  • Login: data-apis
  • Kind: organization

GitHub Events

Total
  • Create event: 18
  • Release event: 7
  • Issues event: 83
  • Watch event: 26
  • Delete event: 8
  • Issue comment event: 516
  • Push event: 114
  • Pull request event: 227
  • Pull request review comment event: 266
  • Pull request review event: 311
  • Fork event: 11
Last Year
  • Create event: 18
  • Release event: 7
  • Issues event: 83
  • Watch event: 26
  • Delete event: 8
  • Issue comment event: 516
  • Push event: 114
  • Pull request event: 227
  • Pull request review comment event: 266
  • Pull request review event: 311
  • Fork event: 11

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 85
  • Total pull requests: 189
  • Average time to close issues: 2 months
  • Average time to close pull requests: 8 days
  • Total issue authors: 29
  • Total pull request authors: 19
  • Average comments per issue: 2.41
  • Average comments per pull request: 2.05
  • Merged pull requests: 126
  • Bot issues: 0
  • Bot pull requests: 28
Past Year
  • Issues: 46
  • Pull requests: 109
  • Average time to close issues: 15 days
  • Average time to close pull requests: 5 days
  • Issue authors: 16
  • Pull request authors: 10
  • Average comments per issue: 1.78
  • Average comments per pull request: 2.38
  • Merged pull requests: 66
  • Bot issues: 0
  • Bot pull requests: 13
View more stats
Top Authors
Issue Authors
  • mdhaber (16)
  • ev-br (11)
  • asmeurer (10)
  • lucascolley (9)
  • crusaderky (5)
  • ogrisel (3)
  • izaid (3)
  • rgommers (2)
  • stefanv (2)
  • btjanaka (2)
  • jorenham (2)
  • PascalCarrivain (2)
  • songyesog2000 (2)
  • adityagoel4512 (1)
  • OmarManzoor (1)
Pull Request Authors
  • asmeurer (53)
  • crusaderky (43)
  • ev-br (36)
  • dependabot[bot] (28)
  • lucascolley (7)
  • lithomas1 (7)
  • NeilGirdhar (3)
  • mtsokol (1)
  • ivirshup (1)
  • 34j (1)
  • adonath (1)
  • hameerabbasi (1)
  • HydrogenSulfate (1)
  • sunpoet (1)
  • jakevdp (1)
Top Labels
Issue Labels
Medium Priority (1) bug (1) enhancement (1) documentation (1)
Pull Request Labels
bug (3) blocked by upstream (1) enhancement (1)

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 862,871 last-month
  • Total docker downloads: 3,555
  • Total dependent packages: 10
    (may contain duplicates)
  • Total dependent repositories: 1
    (may contain duplicates)
  • Total versions: 21
  • Total maintainers: 2
pypi.org: array-api-compat

A wrapper around NumPy and other array libraries to make them compatible with the Array API standard

  • Versions: 20
  • Dependent Packages: 10
  • Dependent Repositories: 1
  • Downloads: 862,871 Last month
  • Docker Downloads: 3,555
Rankings
Downloads: 1.1%
Docker downloads count: 1.6%
Dependent packages count: 2.3%
Average: 6.7%
Dependent repos count: 21.7%
Maintainers (2)
rgommers Aaron.Meurer
Last synced: 6 months ago
anaconda.org: array-api-compat

This is a small wrapper around common array libraries that is compatible with the Array API standard. Currently, NumPy, CuPy, PyTorch, Dask, JAX, ndonnx, and Sparse are supported.

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
Last synced: 6 months ago