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array-libraries.js
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48 lines (48 loc) · 1.47 KB
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export const Libraries = [
{
name: 'NumPy',
description:
'NumPy is the fundamental package for array computing with Python.',
url: 'https://numpy.org',
repo: 'https://github.com/numpy/numpy',
logo: '/libraries/numpy_logo.svg',
},
{
name: 'Dask',
description:
'Distributed arrays and advanced parallelism for analytics, enabling performance at scale.',
url: 'https://dask.org/',
repo: 'https://github.com/dask/dask',
logo: '/libraries/dask_horizontal.svg',
},
{
name: 'CuPy',
description:
'NumPy-compatible array library for GPU-accelerated computing with Python.',
url: 'https://cupy.chainer.org/',
repo: 'https://github.com/cupy/cupy',
logo: '/libraries/cupy_logo_1000px.png',
},
{
name: 'Zarr',
description:
'An implementation of chunked, compressed, N-dimensional arrays for Python.',
url: 'http://zarr.readthedocs.io/',
repo: 'https://github.com/zarr-developers/zarr-python',
logo: '/libraries/zarr-pink-stacked.svg',
},
{
name: 'Sparse',
description: 'Sparse multi-dimensional arrays for the PyData ecosystem',
url: 'https://sparse.pydata.org/',
repo: 'https://github.com/pydata/sparse',
logo: '/libraries/sparse-logo.png',
},
{
name: 'Pint',
description: 'Operate and manipulate physical quantities in Python',
url: 'http://pint.readthedocs.org/',
repo: 'https://github.com/hgrecco/pint',
logo: '/libraries/pint-logo-full.jpg',
},
]