intel-openmp
Intel OpenMP* Runtime Library
Decision gist · record as of 2026-08-14
Yes, if you are using Intel compilers or packages built with them on Windows x86_64. No, if you are not targeting Intel tooling or are on a different platform. The proprietary license and platform specificity mean this is a specialized dependency, not a general utility—install only when required by your compiler or a dependent package.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Windows x86_64 system required; intel-cmplr-lib-ur runtime dependency must be available; intended for use with Intel C/C++/Fortran compilers, not as a standalone library.
- Active maintenance with a recent release (16 days old).
- Medium install friction due to platform-specific wheels and a compiled runtime dependency (intel-cmplr-lib-ur), indicating this is a specialized system library rather than a pure Python package.
License · maintenance · safety
(unclear) — Licensed under Intel End User License Agreement for Developer Tools with unclear treatment classification. This is a proprietary license requiring review of Intel's terms before use in commercial or redistributed projects.
last release 2026-07-29 (16 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 983,237 downloads/mo, #4,581 on PyPI
Alternatives
Verify before relying
pip install intel-openmp==2026.1.1
import intel_openmp
# OpenMP runtime is now available to Intel compilers and dependent packages- Whether this package can be installed and used on non-Intel compiler toolchains or if it is strictly tied to Intel compiler products.
- Exact Python version compatibility, as requires_python is unspecified in the fact sheet.
- Whether the proprietary Intel End User License Agreement permits redistribution in packaged applications.
What it is and what it does
Intel OpenMP is a runtime library that provides OpenMP API support for Intel's compiler suite (C, C++, and Fortran). It enables developers to write multithreaded code using shared-memory parallelism that runs efficiently on multi-core x86_64 processors. The package distributes precompiled dynamic libraries for Windows systems.
This is a system-level dependency rather than a general-purpose library. It is typically installed as a transitive dependency of packages built with Intel compilers, or directly when using Intel's development tools. The medium install friction reflects its platform-specific nature and compiled runtime dependency, making it suitable only for Windows x86_64 environments where Intel compiler tooling is in use.
Use it for
- Running Python packages compiled with Intel C/C++ extensions that use OpenMP for parallelism.
- Developing multithreaded Fortran or C/C++ code via Intel compilers that needs to run on Windows.
- Enabling shared-memory parallel execution in scientific computing workflows on Windows x86_64 systems.
- Satisfying runtime dependencies for Intel oneAPI-based tools and libraries on Windows.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are using Intel compilers or packages built with them on Windows x86_64.
No, if you are not targeting Intel tooling or are on a different platform. The proprietary license and platform specificity mean this is a specialized dependency, not a general utility—install only when required by your compiler or a dependent package.
Install
intel-openmp on PyPI
Before you install
Active maintenance with a recent release (16 days old). Medium install friction due to platform-specific wheels and a compiled runtime dependency (intel-cmplr-lib-ur), indicating this is a specialized system library rather than a pure Python package.
Windows x86_64 system required; intel-cmplr-lib-ur runtime dependency must be available; intended for use with Intel C/C++/Fortran compilers, not as a standalone library.
License in practice
Licensed under Intel End User License Agreement for Developer Tools with unclear treatment classification. This is a proprietary license requiring review of Intel's terms before use in commercial or redistributed projects.
Quickstart
pip install intel-openmp==2026.1.1
import intel_openmp
# OpenMP runtime is now available to Intel compilers and dependent packagesVerify before relying
- Whether this package can be installed and used on non-Intel compiler toolchains or if it is strictly tied to Intel compiler products.
- Exact Python version compatibility, as requires_python is unspecified in the fact sheet.
- Whether the proprietary Intel End User License Agreement permits redistribution in packaged applications.
Package facts
| License | Not declared unclear |
| Python support | Not specified |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 1 packageintel-cmplr-lib-ur |
| Maintenance | Actively maintained 16 days since the last release |
| First released | |
| Downloads | 983,237 / month, #4,581 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Other AudienceIntended Audience :: Science/ResearchIntended Audience :: System AdministratorsLicense :: Other/Proprietary LicenseOperating System :: Microsoft :: WindowsTopic :: Software Development :: Libraries |
Evidence: intel_openmp-2026.1.1-py2.py3-none-manylinux_2_28_x86_64.whl; intel_openmp-2026.1.1-py2.py3-none-win_amd64.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “openmp runtime library”
- intel-openmpProvides Intel's OpenMP runtime library for x86_64 Windows systems,…
- tcmlibManages CPU resource coordination between Intel oneAPI Threading…
- threadpoolctlInspect and control the thread-pool size of native libraries (BLAS,…
Give your agent the search over MCP, or paste the wish link into any chat.
More Libraries packages
urllib3 is an HTTP client library that provides thread-safe connection pooling, SSL/TLS verification, multipart file uploads, request retries, compression support, and proxy handling for Python applications.
Requests is a Python HTTP library that simplifies sending HTTP/1.1 requests with automatic handling of headers, authentication, cookies, and response parsing.
Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.
Install it if you're building an extensible application or framework.
Provides parsing, arithmetic, and recurrence rule computation for dates and times, with timezone support and iCalendar RFC compliance.
Install it if you need to parse flexible date strings, compute relative dates, handle timezones, or work with recurrence rules—it's the de facto choice for these tasks.
Six provides utility functions to write Python code that runs on both Python 2.7 and Python 3.3+, smoothing over language differences between the two versions.
pytest is a testing framework that lets you write test functions using plain assert statements and automatically discovers and runs them, with detailed failure reporting.
See also intel-cmplr-lib-ur · tcmlib · dpcpp-cpp-rt · intel-cmplr-lib-rt · intel-opencl-rt · intel-sycl-rt · tbb · threadpoolctl · fypp · cpuset-py3