{"library":"mkl","type":"library","category":null,"description":"Intel® oneAPI Math Kernel Library (oneMKL) is a highly optimized, extensively threaded, and vectorized numerical library for mathematical functions. It provides a wide range of routines for linear algebra (BLAS, LAPACK, ScaLAPACK), fast Fourier transforms (FFT), vector math, and more. When used with Python libraries like NumPy and SciPy, it significantly accelerates numerical computations by providing highly optimized CPU-specific implementations. The `mkl` PyPI package, version 2025.3.1, typically provides the runtime components required for other Python packages to link against and utilize MKL, with updates usually following major oneAPI releases.","language":"python","status":"active","version":"2025.3.1","tags":["numerical-computation","performance","blas","lapack","intel","high-performance-computing"],"install":[{"cmd":"pip install mkl","imports":["from mkl import get_version"]}],"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/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":9.5,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/mkl/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}