{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/8"}],"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":["hpc","compiled-dependency","intel-specific"],"use_cases":["Building compiled Python extensions (e.g., NumPy, SciPy) that link against Intel MKL for faster linear algebra","Developing C/C++ applications that call MKL routines and need the header files and interface definitions","Optimizing numerical workloads on Intel CPUs by providing access to threaded BLAS, LAPACK, and FFT kernels","Setting up development environments where MKL-accelerated libraries are built from source"],"what_it_does":"mkl-include is Intel's Python package providing C and DPC++ language bindings to the oneAPI Math Kernel Library, a collection of highly optimized mathematical routines for linear algebra, Fourier transforms, and related computations. It targets developers building performance-critical numerical applications on Intel hardware. The package ships platform-specific wheels for Linux x86_64 and Windows x64, and depends on onemkl-license at runtime. It is not a standalone library\u2014it provides headers and interfaces to call Intel MKL from C or C++ code, typically used by other libraries or compiled extensions rather than directly from Python.\n\nThe package is actively maintained and has been in production use since 2017. A key gotcha is that the MKLROOT environment variable is not set automatically during PyPI installation and must be configured manually according to Intel's developer documentation. This makes it less of a drop-in dependency and more of a system integration step, particularly relevant for containerized or CI/CD deployments.","worth_installing":"Yes, if you are building or deploying MKL-dependent compiled extensions on Linux x86_64 or Windows x64 and are willing to manually configure MKLROOT. No, if you expect a pure-Python package or automatic environment setup. The proprietary license and platform limitations mean it is not a general-purpose math library\u2014it is a system integration tool for Intel MKL users."},"id":"mkl-include","links":{"html":"https://skillfed.io/packages/mkl-include","md":"https://skillfed.io/packages/mkl-include.md","pypi":"https://pypi.org/project/mkl-include/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-01","license_spdx":null,"license_treatment":"unclear","name":"mkl-include","python_support":"unspecified","summary":"Intel\u00ae oneAPI Math Kernel Library"},"popularity":{"monthly_downloads":172491,"position":10334,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2026.1.0"}