{"categories":[{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/2"}],"enrichment":{"capability":"Provides pre-built OpenBLAS shared libraries and headers for use as a build or runtime dependency in NumPy, SciPy, and other Python projects that need linear algebra acceleration.","skillfed_tags":["build-dependency","blas-lapack","numpy-scipy"],"use_cases":["Building NumPy or SciPy wheels with a consistent, pre-built OpenBLAS to avoid system library version mismatches.","Local development of NumPy or SciPy with a pinned OpenBLAS version to match CI environments.","Vendoring into NumPy or SciPy wheels to ensure end-users receive a working BLAS without external dependencies.","Providing OpenBLAS headers and libraries to custom build systems (via get_include_dir, get_lib_dir, get_pkg_config) during package compilation."],"what_it_does":"scipy-openblas32 is a wheel distribution of OpenBLAS (a high-performance BLAS/LAPACK library) designed to serve as a build and runtime dependency for NumPy and SciPy. It bundles the OpenBLAS shared library, LAPACK, and required GCC runtime support into a self-contained wheel, eliminating the need to install system BLAS libraries separately. The package provides Python functions to query the location of headers, libraries, and pkg-config metadata for integration into build systems.\n\nThe primary use case is as a vendored dependency in NumPy and SciPy wheels, or as a build-time dependency in CI and local development. While other projects may use it for the same purposes, the maintainers explicitly warn against adding it as a runtime dependency outside NumPy and SciPy, because the package makes no backwards compatibility guarantees for symbol names or the Python API, and future changes could cause symbol conflicts or breakage.","worth_installing":"Yes, but only if you are building or developing NumPy, SciPy, or a closely related project that needs a pre-built OpenBLAS. Do not add it as a runtime dependency to other projects\u2014the maintainers explicitly warn against this due to lack of stability guarantees and risk of symbol conflicts. For general linear algebra needs, depend on NumPy or SciPy instead."},"id":"scipy-openblas32","links":{"html":"https://skillfed.io/packages/scipy-openblas32","md":"https://skillfed.io/packages/scipy-openblas32.md","pypi":"https://pypi.org/project/scipy-openblas32/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-09","license_spdx":null,"license_treatment":"permissive","name":"scipy-openblas32","python_support":"supports_current","summary":"Provides OpenBLAS for python packaging"},"popularity":{"monthly_downloads":410943,"position":6862,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.3.34.106.0"}