intel-cmplr-lib-ur
Intel® oneAPI Unified Runtime Libraries package
Decision gist · record as of 2026-08-14
Yes, if you are building or deploying Intel oneAPI applications or DPC++ code. This is a required infrastructure component for that ecosystem. However, verify that your target platform (Windows or manylinux x86_64) is supported and that you understand the Intel proprietary license terms. Not relevant for non-Intel compiler toolchains.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Windows (win_amd64) or Linux (manylinux_2_28_x86_64); no other architectures are supported by the published wheels.
- Medium install friction due to platform-specific wheels (manylinux and Windows only).
- Package is actively maintained with recent releases, though repository details are not publicly available.
License · maintenance · safety
(unclear) — Licensed under Intel End User License Agreement for Developer Tools with unclear treatment classification. Users should review the proprietary license terms before deployment, particularly in commercial or redistributed contexts.
last release 2026-07-29 (16 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 698,983 downloads/mo, #5,297 on PyPI
Alternatives
Verify before relying
pip install intel-cmplr-lib-ur
# Typically installed as a dependency; direct usage is rare.
# Verify installation alongside oneAPI licensing and compiler-specific runtimes.- Whether this package requires system-level Intel oneAPI toolkit installation or functions as a standalone runtime
- Compatibility with non-x86_64 architectures beyond the documented manylinux and Windows platforms
- Whether the umf runtime dependency is bundled or must be installed separately
What it is and what it does
Intel-cmplr-lib-ur is a runtime library package that provides the foundational shared libraries for Intel's oneAPI ecosystem. It acts as a common layer that enables device-agnostic interfaces—particularly for DPC++ and other compiler-specific runtimes—to work across diverse hardware and software platforms. The package is designed to be installed alongside the oneAPI common licensing package and compiler-specific runtime modules.
This is a low-level infrastructure component rather than a user-facing tool. Developers typically install it as a dependency when working with Intel oneAPI compilers or when deploying applications built with DPC++ that need unified runtime support. It depends on the umf runtime and is distributed as platform-specific wheels for Windows and Linux (manylinux).
Use it for
- Installing as a dependency when deploying DPC++ applications that require unified runtime support across platforms
- Setting up Intel oneAPI compiler environments where common libraries must be available before compiler-specific runtimes
- Providing runtime support for heterogeneous computing workloads targeting both CPUs and accelerators via oneAPI
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building or deploying Intel oneAPI applications or DPC++ code.
This is a required infrastructure component for that ecosystem. However, verify that your target platform (Windows or manylinux x86_64) is supported and that you understand the Intel proprietary license terms. Not relevant for non-Intel compiler toolchains.
Install
intel-cmplr-lib-ur on PyPI
Before you install
Medium install friction due to platform-specific wheels (manylinux and Windows only). Package is actively maintained with recent releases, though repository details are not publicly available.
Requires Windows (win_amd64) or Linux (manylinux_2_28_x86_64); no other architectures are supported by the published wheels.
License in practice
Licensed under Intel End User License Agreement for Developer Tools with unclear treatment classification. Users should review the proprietary license terms before deployment, particularly in commercial or redistributed contexts.
Quickstart
pip install intel-cmplr-lib-ur
# Typically installed as a dependency; direct usage is rare.
# Verify installation alongside oneAPI licensing and compiler-specific runtimes.Verify before relying
- Whether this package requires system-level Intel oneAPI toolkit installation or functions as a standalone runtime
- Compatibility with non-x86_64 architectures beyond the documented manylinux and Windows platforms
- Whether the umf runtime dependency is bundled or must be installed separately
Package facts
| License | Not declared unclear |
| Python support | Not specified |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 1 packageumf |
| Maintenance | Actively maintained 16 days since the last release |
| First released | |
| Downloads | 698,983 / month, #5,297 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_cmplr_lib_ur-2026.1.1-py2.py3-none-manylinux_2_28_x86_64.whl; intel_cmplr_lib_ur-2026.1.1-py2.py3-none-win_amd64.whl
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See also debug-mgr · intel-cmplr-lib-rt · intel-openmp · intel-pti · tcmlib · dpcpp-cpp-rt · intel-cmplr-lic-rt · intel-sycl-rt · intel-opencl-rt · oneccl