Sparse multi-dimensional arrays for the PyData ecosystem
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Nov 11, 2026 - Python
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Sparse multi-dimensional arrays for the PyData ecosystem
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
python data-science machine-learning hpc gpu numpy mpi parallel-computing distributed-computing pytorch scientific-computing data-analytics high-performance-computing tensors multi-gpu mpi4py array-api
Modular and scalable computational imaging in Python with GPU/out-of-core computing.
machine-learning modular scalable computer-vision image-reconstruction python-library image-processing artificial-intelligence bayesian-methods computational-imaging image-restoration image-enhancement sensing matrix-free sparse-learning inverse-problem foundation-models array-api python-hpc array-computing
Static typing support for the array API standard
Modular, composable Sequential Monte Carlo framework
torch bayesian-methods sampling bayesian-inference sequential-monte-carlo cupy sampling-methods jax array-api
Automatic differentiation for the NumPy code you already write
python rust numpy automatic-differentiation scientific-computing autodiff differentiable-programming array-api
Pre-quaxed libraries for use in multiple dispatch over abstract array types in JAX.
Autogenerated types for array-api-compat and array API - IDE friendly. `pip install types-array-api` and ready to go!
array-api based simple volume renderer
Vilenkin–Kuznetsov–Smorodinsky polyspherical (hyperspherical) coordinates in NumPy / PyTorch
Arbitrary precision floating / ball arithmetic (interval arithmetic) dtype in NumPy / array API
Compute Jacobi polynomial from order 0 to N efficiently in NumPy / PyTorch / JAX / array API
numpy pytorch numba jax legendre-polynomials array-api jacobi-polynomials gegenbauer-polynomials numba-cuda
Shift Nth row N steps in NumPy / PyTorch / TensorFlow / JAX
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