https://github.com/34j/best-of-array-api
A list of awesome array API standard related projects. Feel free to add your project.
https://github.com/34j/best-of-array-api
array-api best-of
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A list of awesome array API standard related projects. Feel free to add your project.
- Host: GitHub
- URL: https://github.com/34j/best-of-array-api
- Owner: 34j
- License: cc-by-sa-4.0
- Created: 2026-05-03T14:39:37.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2026-05-28T20:31:34.000Z (15 days ago)
- Last Synced: 2026-05-28T22:00:19.185Z (15 days ago)
- Topics: array-api, best-of
- Homepage:
- Size: 64.5 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- Changelog: history/2026-05-03_changes.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: .github/CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
best-of-array-api
🏆 A ranked list of awesome projects. Updated weekly.
This curated list contains 23 awesome open-source projects with a total of 210K stars grouped into 8 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to **_directly edit the [projects.yaml](https://github.com/34j/best-of-array-api/edit/main/projects.yaml)_**. Contributions are very welcome!
> 🧙♂️ Discover other [best-of lists](https://best-of.org) or [create your own](https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md).
## Contents
- [Definitions](#definitions) _1 projects_
- [Backends](#backends) _10 projects_
- [Core packages](#core-packages) _4 projects_
- [Typing packages](#typing-packages) _1 projects_
- [Utility packages](#utility-packages) _5 projects_
- [Scientific packages](#scientific-packages) _0 projects_
- [Machine learning packages](#machine-learning-packages) _2 projects_
- [Other awesome lists](#other-awesome-lists) _0 projects_
## Explanation
- 🥇🥈🥉 Combined project-quality score
- ⭐️ Star count from GitHub
- 🐣 New project _(less than 6 months old)_
- 💤 Inactive project _(6 months no activity)_
- 💀 Dead project _(12 months no activity)_
- 📈📉 Project is trending up or down
- ➕ Project was recently added
- ❗️ Warning _(e.g. missing/risky license)_
- 👨💻 Contributors count from GitHub
- 🔀 Fork count from GitHub
- 📋 Issue count from GitHub
- ⏱️ Last update timestamp on package manager
- 📥 Download count from package manager
- 📦 Number of dependent projects
## Definitions
_Definitions of array API standard_
Array API standard (🥇17 · ⭐ 270) - RFC document, tooling and other content related to the array.. MIT
- [GitHub](https://github.com/data-apis/array-api) (👨💻 38 · 🔀 54 · 📦 4 · 📋 410 - 22% open · ⏱️ 23.04.2026):
```
git clone https://github.com/data-apis/array-api
```
## Backends
_Implementations of array API standard_
PyTorch (🥇56 · ⭐ 100K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 Non-CPU
- [GitHub](https://github.com/pytorch/pytorch) (👨💻 6.6K · 🔀 28K · 📥 280K · 📦 860K · 📋 62K - 29% open · ⏱️ 28.05.2026):
```
git clone https://github.com/pytorch/pytorch
```
- [PyPi](https://pypi.org/project/torch) (📥 87M / month · 📦 40K · ⏱️ 13.05.2026):
`
pip install torch
`
NumPy (🥈46 · ⭐ 32K · 📉) - The fundamental package for scientific computing with Python. ❗Unlicensed
- [GitHub](https://github.com/numpy/numpy) (👨💻 2.1K · 🔀 12K · 📥 1.2M · 📦 3.6M · 📋 14K - 16% open · ⏱️ 28.05.2026):
```
git clone https://github.com/numpy/numpy
```
- [PyPi](https://pypi.org/project/numpy) (📦 190K · ⏱️ 18.05.2026):
`
pip install numpy
`
JAX (🥈38 · ⭐ 36K · 📉) - Composable transformations of Python+NumPy programs:.. Apache-2 Non-CPU
- [GitHub](https://github.com/jax-ml/jax) (👨💻 1.1K · 🔀 3.6K · 📦 49K · 📋 7.8K - 30% open · ⏱️ 28.05.2026):
```
git clone https://github.com/jax-ml/jax
```
- [PyPi](https://pypi.org/project/jax) (📦 4.4K · ⏱️ 20.05.2026):
`
pip install jax
`
Dask (🥈38 · ⭐ 14K) - Parallel computing with task scheduling. BSD-3 Non-CPU
- [GitHub](https://github.com/dask/dask) (👨💻 650 · 🔀 1.9K · 📦 79K · 📋 5.7K - 21% open · ⏱️ 27.05.2026):
```
git clone https://github.com/dask/dask
```
- [PyPi](https://pypi.org/project/dask) (📦 3.5K · ⏱️ 18.03.2026):
`
pip install dask
`
Ivy (🥉29 · ⭐ 14K) - Convert Machine Learning Code Between Frameworks. Apache-2 Non-CPU
- [GitHub](https://github.com/unifyai/ivy) (👨💻 1.5K · 🔀 5.6K · 📋 17K - 5% open · ⏱️ 07.02.2026):
```
git clone https://github.com/ivy-llc/ivy
```
- [PyPi](https://pypi.org/project/ivy) (📦 16 · ⏱️ 16.06.2025):
`
pip install ivy
`
sparse (🥉29 · ⭐ 660) - Sparse multi-dimensional arrays for the PyData ecosystem. BSD-3
- [GitHub](https://github.com/pydata/sparse) (👨💻 63 · 🔀 130 · 📦 2.3K · 📋 340 - 21% open · ⏱️ 26.05.2026):
```
git clone https://github.com/pydata/sparse
```
- [PyPi](https://pypi.org/project/sparse) (📥 1.4M / month · 📦 310 · ⏱️ 19.02.2026):
`
pip install sparse
`
CuPy (🥉26 · ⭐ 11K · 📈) - NumPy & SciPy for GPU. MIT Non-CPU
- [GitHub](https://github.com/cupy/cupy) (👨💻 380 · 🔀 1K):
```
git clone https://github.com/cupy/cupy
```
- [PyPi](https://pypi.org/project/cupy) (📥 40K / month · 📦 580 · ⏱️ 23.05.2026):
`
pip install cupy
`
ndonnx (🥉21 · ⭐ 67 · 📈) - ONNX-backed array library that is compliant with the Array API.. BSD-3 Non-CPU
- [GitHub](https://github.com/Quantco/ndonnx) (👨💻 25 · 🔀 3 · 📦 30 · 📋 34 - 11% open · ⏱️ 15.05.2026):
```
git clone https://github.com/Quantco/ndonnx
```
- [PyPi](https://pypi.org/project/ndonnx) (📥 3.8K / month · 📦 4 · ⏱️ 15.05.2026):
`
pip install ndonnx
`
numpy-flint-arb (🥉10 · ⭐ 1 · 🐣) - Arbitrary precision floating / ball arithmetic.. MIT Verified Multiprecision
- [GitHub](https://github.com/34j/numpy-flint-arb) (👨💻 3 · 📥 26 · 📋 2 - 50% open · ⏱️ 25.05.2026):
```
git clone https://github.com/34j/numpy-flint-arb
```
- [PyPi](https://pypi.org/project/numpy-flint-arb) (⏱️ 26.03.2026):
`
pip install numpy-flint-arb
`
mparray (🥉8 · ⭐ 6) - Array API compliant arrays of arbitrary precision types. MIT Verified Multiprecision
- [GitHub](https://github.com/mdhaber/mparray) (👨💻 3 · 🔀 3 · 📋 13 - 92% open · ⏱️ 17.03.2026):
```
git clone https://github.com/mdhaber/mparray
```
- [PyPi](https://pypi.org/project/mparray):
`
pip install mparray
`
## Core packages
_array API related packages_
array-api-compat (🥇28 · ⭐ 120 · 📉) - Compatibility layer for common array libraries to support.. MIT
- [GitHub](https://github.com/data-apis/array-api-compat) (👨💻 28 · 🔀 41 · 📥 280 · 📦 780 · 📋 150 - 25% open · ⏱️ 28.05.2026):
```
git clone https://github.com/data-apis/array-api-compat
```
- [PyPi](https://pypi.org/project/array-api-compat) (📥 1.9M / month · 📦 170 · ⏱️ 26.02.2026):
`
pip install array-api-compat
`
array-api-strict (🥈20 · ⭐ 31) - Strict implementation of the Python array API.. ❗Unlicensed
- [GitHub](https://github.com/data-apis/array-api-strict) (👨💻 33 · 🔀 13 · 📥 120 · 📋 53 - 20% open · ⏱️ 05.05.2026):
```
git clone https://github.com/data-apis/array-api-strict
```
- [PyPi](https://pypi.org/project/array-api-strict) (📥 98K / month · 📦 32 · ⏱️ 23.02.2026):
`
pip install array-api-strict
`
array-api-extra (🥈20 · ⭐ 29 · 📉) - Extra array functions built on top of the array API standard. MIT
- [GitHub](https://github.com/data-apis/array-api-extra) (👨💻 20 · 🔀 21 · 📦 31 · 📋 110 - 39% open · ⏱️ 28.05.2026):
```
git clone https://github.com/data-apis/array-api-extra
```
- [PyPi](https://pypi.org/project/array-api-extra) (📦 32 · ⏱️ 27.02.2026):
`
pip install array-api-extra
`
array-api-tests (🥉15 · ⭐ 73) - Test suite for Python array API standard compliance. MIT
- [GitHub](https://github.com/data-apis/array-api-tests) (👨💻 19 · 🔀 47 · 📋 170 - 33% open · ⏱️ 03.04.2026):
```
git clone https://github.com/data-apis/array-api-tests
```
## Typing packages
_Packages related to typing_
types-array-api (🥇14 · ⭐ 7 · 📉) - Autogenerated types for array-api-compat and array API -.. Apache-2
- [GitHub](https://github.com/34j/types-array-api) (👨💻 3 · 🔀 1 · 📥 18 · 📋 5 - 40% open · ⏱️ 25.05.2026):
```
git clone https://github.com/34j/types-array-api
```
- [PyPi](https://pypi.org/project/types-array-api) (📦 18 · ⏱️ 28.02.2026):
`
pip install types-array-api
`
## Utility packages
_Packages useful for developing array API compatible packages, with less scientific context_
xarray (🥇40 · ⭐ 4.2K) - N-D labeled arrays and datasets in Python. Apache-2
- [GitHub](https://github.com/pydata/xarray) (👨💻 610 · 🔀 1.3K · 📦 44K · 📋 5.3K - 25% open · ⏱️ 20.05.2026):
```
git clone https://github.com/pydata/xarray
```
- [PyPi](https://pypi.org/project/xarray) (📥 20M / month · 📦 5.7K · ⏱️ 13.04.2026):
`
pip install xarray
`
ragged (🥈16 · ⭐ 48 · 📈) - Manipulating ragged arrays in an Array API compliant way. BSD-3
- [GitHub](https://github.com/scikit-hep/ragged) (👨💻 5 · 🔀 8 · 📦 56 · 📋 29 - 62% open · ⏱️ 30.03.2026):
```
git clone https://github.com/scikit-hep/ragged
```
- [PyPi](https://pypi.org/project/ragged) (📥 360 / month · ⏱️ 31.01.2025):
`
pip install ragged
`
marray (🥉14 · ⭐ 33) - Masked versions of array API compatible arrays. MIT
- [GitHub](https://github.com/mdhaber/marray) (👨💻 4 · 🔀 3 · 📦 2 · 📋 60 - 35% open · ⏱️ 25.05.2026):
```
git clone https://github.com/mdhaber/marray
```
- [PyPi](https://pypi.org/project/marray) (⏱️ 18.09.2025):
`
pip install marray
`
array-api-negative-index (🥉14 · ⭐ 1 · 📈) - Utils for indexing arrays with {-n, -(n-1), ..., -1,.. MIT
- [GitHub](https://github.com/34j/array-api-negative-index) (👨💻 3 · ⏱️ 25.05.2026):
```
git clone https://github.com/34j/array-api-negative-index
```
- [PyPi](https://pypi.org/project/array-api-negative-index) (📥 1.3K / month · ⏱️ 23.08.2025):
`
pip install array-api-negative-index
`
quantity-array (🥉8 · ⭐ 5) - Quantities with array API standard arrays. MIT
- [GitHub](https://github.com/quantity-dev/quantity-array) (👨💻 5 · 🔀 2 · 📋 19 - 68% open · ⏱️ 25.05.2026):
```
git clone https://github.com/quantity-dev/quantity-array
```
- [PyPi](https://pypi.org/project/quantity-array) (⏱️ 19.01.2025):
`
pip install quantity-array
`
## Scientific packages
_array API compatible packages with non-machine learning scientific context_
## Machine learning packages
_array API compatible packages with machine learning context_
heat (🥇28 · ⭐ 240 · 📈) - Distributed tensors and Machine Learning framework with GPU and MPI.. MIT
- [GitHub](https://github.com/helmholtz-analytics/heat) (👨💻 69 · 🔀 65 · 📥 93 · 📦 81 · 📋 890 - 9% open · ⏱️ 27.05.2026):
```
git clone https://github.com/helmholtz-analytics/heat
```
- [PyPi](https://pypi.org/project/heat) (📥 1.6K / month · ⏱️ 26.03.2026):
`
pip install heat
`
SysIdentPy (🥉21 · ⭐ 510) - A Python Package For System Identification Using NARMAX Models. BSD-3
- [GitHub](https://github.com/wilsonrljr/sysidentpy) (👨💻 21 · 🔀 99 · 📦 28 · 📋 68 - 13% open · ⏱️ 04.04.2026):
```
git clone https://github.com/wilsonrljr/sysidentpy
```
- [PyPi](https://pypi.org/project/sysidentpy) (📦 5 · ⏱️ 28.03.2026):
`
pip install sysidentpy
`
## Other awesome lists
---
## Related Resources
- [**Best-of lists**](https://best-of.org): Discover other best-of lists with awesome open-source projects on all kinds of topics.
## Contribution
Contributions are encouraged and always welcome! If you like to add or update projects, choose one of the following ways:
- Open an issue by selecting one of the provided categories from the [issue page](https://github.com/34j/best-of-array-api/issues/new/choose) and fill in the requested information.
- Modify the [projects.yaml](https://github.com/34j/best-of-array-api/blob/main/projects.yaml) with your additions or changes, and submit a pull request. This can also be done directly via the [Github UI](https://github.com/34j/best-of-array-api/edit/main/projects.yaml).
If you like to contribute to or share suggestions regarding the project metadata collection or markdown generation, please refer to the [best-of-generator](https://github.com/best-of-lists/best-of-generator) repository. If you like to create your own best-of list, we recommend to follow [this guide](https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md).
For more information on how to add or update projects, please read the [contribution guidelines](https://github.com/34j/best-of-array-api/blob/main/CONTRIBUTING.md). By participating in this project, you agree to abide by its [Code of Conduct](https://github.com/34j/best-of-array-api/blob/main/.github/CODE_OF_CONDUCT.md).
## License
[](https://creativecommons.org/licenses/by-sa/4.0/)