{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/6"}],"enrichment":{"capability":"Provides C and Data Parallel C++ (DPC++) interfaces to Intel oneAPI Math Kernel Library for optimized mathematical computations on Intel CPUs and GPUs.","skillfed_tags":["high-performance-computing","intel-hardware","numerical-computing"],"use_cases":["Accelerate numerical computations in scientific applications by linking C/C++ code to optimized MKL routines.","Build high-performance linear algebra and matrix operations for machine learning or data analysis pipelines.","Optimize mathematical kernels for Intel GPU execution using DPC++ interfaces.","Integrate MKL into heterogeneous CPU-GPU compute workflows targeting Intel hardware.","Develop performance-critical numerical libraries that require fine-grained control over math kernel selection."],"what_it_does":"This package provides C and Data Parallel C++ (DPC++) language bindings to Intel oneAPI Math Kernel Library, a collection of highly optimized mathematical routines for scientific and high-performance computing workloads. It is designed to enable developers to call MKL functions from C, C++, or other languages that can interface with C code, targeting both current and future Intel CPU and GPU architectures.\n\nThe package is distributed as wheels for Linux and Windows x86_64 platforms. A key constraint is that the MKLROOT environment variable must be configured manually after installation\u2014this is not handled automatically by the PyPI installer. Developers integrating this package need to set up this variable and have a C or DPC++ compiler available to build and link against the library interfaces.","worth_installing":"Yes, if you are building C or C++ applications targeting Intel CPUs or GPUs and need highly optimized mathematical routines. The package is actively maintained with no known vulnerabilities. However, be aware of the proprietary license (review Intel's terms), the manual MKLROOT configuration requirement, and that this is a library package requiring C/DPC++ compilation skills, not a pure Python tool."},"id":"onemkl-license","links":{"html":"https://skillfed.io/packages/onemkl-license","md":"https://skillfed.io/packages/onemkl-license.md","pypi":"https://pypi.org/project/onemkl-license/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-01","license_spdx":null,"license_treatment":"unclear","name":"onemkl-license","python_support":"unspecified","summary":"Intel\u00ae oneAPI Math Kernel Library"},"popularity":{"monthly_downloads":383288,"position":7078,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2026.1.0"}