{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/8"}],"enrichment":{"capability":"Provides optimized C and Data Parallel C++ (DPC++) interfaces to Intel's oneAPI Math Kernel Library for high-performance mathematical computing on Intel CPUs and GPUs.","skillfed_tags":["intel-hardware","high-performance-computing","proprietary-license"],"use_cases":["Accelerate numerical simulations and scientific computations on Intel CPUs and GPUs","Optimize linear algebra and Fourier transform operations in machine learning pipelines","Build high-performance data analysis applications leveraging Intel's threaded math routines","Develop heterogeneous compute applications using Data Parallel C++ on Intel hardware"],"what_it_does":"onemkl-sycl-dft is Intel's oneAPI Math Kernel Library packaged for Python, exposing highly optimized mathematical routines through C and Data Parallel C++ interfaces. It targets developers building performance-critical numerical applications that need to leverage Intel CPUs and GPUs. The package bundles three runtime dependencies (dpcpp-cpp-rt, intel-opencl-rt, mkl) and requires manual configuration of the MKLROOT environment variable after installation\u2014a setup step not handled automatically by PyPI.\n\nThe library is positioned for scientific computing, machine learning, and data analysis workloads where maximum performance on Intel hardware is a priority. It is actively maintained and carries a proprietary Intel license. Because the license treatment is unclear in the metadata, you should consult Intel's terms directly before committing to production use, especially if your project involves redistribution or commercial deployment.","worth_installing":"Yes, if you are developing performance-critical numerical code targeting Intel hardware and are comfortable with proprietary licensing and manual environment setup. The package is actively maintained, carries no known vulnerabilities, and is in the top PyPI packages by download volume. However, verify Python version compatibility first (unspecified in metadata) and review Intel's license terms, particularly if redistribution is planned."},"id":"onemkl-sycl-dft","links":{"html":"https://skillfed.io/packages/onemkl-sycl-dft","md":"https://skillfed.io/packages/onemkl-sycl-dft.md","pypi":"https://pypi.org/project/onemkl-sycl-dft/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-01","license_spdx":null,"license_treatment":"unclear","name":"onemkl-sycl-dft","python_support":"unspecified","summary":"Intel\u00ae oneAPI Math Kernel Library"},"popularity":{"monthly_downloads":171126,"position":10381,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2026.1.0"}