{"id":15020425,"url":"https://github.com/intelpython/mkl_umath","last_synced_at":"2025-06-22T15:33:42.497Z","repository":{"id":57442186,"uuid":"351149839","full_name":"IntelPython/mkl_umath","owner":"IntelPython","description":"Package implementing NumPy's UFuncs based on SVML and MKL VML","archived":false,"fork":false,"pushed_at":"2025-06-17T03:13:29.000Z","size":231,"stargazers_count":1,"open_issues_count":3,"forks_count":6,"subscribers_count":6,"default_branch":"main","last_synced_at":"2025-06-17T04:22:33.987Z","etag":null,"topics":["mkl","numpy","python"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/IntelPython.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":".github/CODEOWNERS","security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2021-03-24T16:28:52.000Z","updated_at":"2025-06-17T03:13:31.000Z","dependencies_parsed_at":"2024-09-17T17:14:20.904Z","dependency_job_id":"e294d306-8167-40d7-b393-3311ca99a551","html_url":"https://github.com/IntelPython/mkl_umath","commit_stats":{"total_commits":87,"total_committers":10,"mean_commits":8.7,"dds":0.4367816091954023,"last_synced_commit":"900a61087d3ca4c026bdfb9cf8f9e4478f244051"},"previous_names":[],"tags_count":7,"template":false,"template_full_name":null,"purl":"pkg:github/IntelPython/mkl_umath","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IntelPython%2Fmkl_umath","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IntelPython%2Fmkl_umath/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IntelPython%2Fmkl_umath/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IntelPython%2Fmkl_umath/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/IntelPython","download_url":"https://codeload.github.com/IntelPython/mkl_umath/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IntelPython%2Fmkl_umath/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261314983,"owners_count":23140179,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["mkl","numpy","python"],"created_at":"2024-09-24T19:55:04.404Z","updated_at":"2025-06-22T15:33:37.479Z","avatar_url":"https://github.com/IntelPython.png","language":"Python","readme":"[![Conda package](https://github.com/IntelPython/mkl_umath/actions/workflows/conda-package.yml/badge.svg)](https://github.com/IntelPython/mkl_umath/actions/workflows/conda-package.yml)\n[![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/IntelPython/mkl_umath/badge)](https://securityscorecards.dev/viewer/?uri=github.com/IntelPython/mkl_umath)\n\n# `mkl_umath`\n\n`mkl_umath._ufuncs` exposes [Intel(R) Math Kernel Library](https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html)\npowered version of loops used in the patched version of [NumPy](https://numpy.org), that used to be included in\n[Intel(R) Distribution for Python*](https://www.intel.com/content/www/us/en/developer/tools/oneapi/distribution-for-python.html).\n\nPatches were factored out per community feedback ([NEP-36](https://numpy.org/neps/nep-0036-fair-play.html)).\n\n`mkl_umath` started as a part of Intel (R) Distribution for Python* optimizations to NumPy, and is now being released \nas a stand-alone package. It can be installed into conda environment using \n\n```\n   conda install -c https://software.repos.intel.com/python/conda mkl_umath\n```\n\n---\n\nTo install mkl_umath Pypi package please use following command:\n\n```\n   python -m pip install --i https://software.repos.intel.com/python/pypi -extra-index-url https://pypi.org/simple mkl_umath\n```\n\nIf command above installs NumPy package from the Pypi, please use following command to install Intel optimized NumPy wheel package from Intel Pypi Cloud:\n\n```\n   python -m pip install --i https://software.repos.intel.com/python/pypi -extra-index-url https://pypi.org/simple mkl_umath numpy==\u003cnumpy_version\u003e\n```\n\nWhere `\u003cnumpy_version\u003e` should be the latest version from https://software.repos.intel.com/python/conda/\n\n---\n\n## Building\n\nIntel(R) C compiler and Intel(R) Math Kernel Library are required to build `mkl_umath` from source:\n\n```sh\n# ensure that MKL is installed into Python prefix, Intel LLVM compiler is activated\nexport MKLROOT=$CONDA_PREFIX\nCC=icx pip install --no-build-isolation --no-deps -e .\n```\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fintelpython%2Fmkl_umath","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fintelpython%2Fmkl_umath","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fintelpython%2Fmkl_umath/lists"}