{"library":"mkl-include","type":"library","category":null,"description":"Intel® oneAPI Math Kernel Library (oneMKL) is a highly optimized, extensively threaded math library for high-performance computing. The `mkl-include` package provides the C and Data Parallel C++ (DPC++) programming language interfaces (header files) required for building applications and other libraries that link against oneMKL. It helps optimize numerical routines for Intel® CPUs and GPUs. The current version is 2025.3.1, with frequent releases aligning with the Intel oneAPI toolkit cadence.","language":"python","status":"active","version":"2025.3.1","tags":["intel","mkl","oneapi","hpc","blas","lapack","scientific-computing","performance","c-cpp"],"install":[{"cmd":"pip install mkl-include","imports":["This package provides C/C++ header files and is not directly imported in Python user code. Python interaction with MKL is typically through other libraries (e.g., NumPy, SciPy, or `mkl-service`) that are built to use MKL."]},{"cmd":"conda install conda-forge::mkl-include","imports":[]}],"homepage":"https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl.html","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/mkl-include/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":1.6,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/mkl-include/compatibility"},"provenance":{"verified_status":"skip","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Sun Jul 05","install_tag":null}}