intel-cmplr-lib-rt
Intel® oneAPI Runtime COMMON LIBRARIES
Decision gist · record as of 2026-08-14
Yes, if you are deploying Intel oneAPI-compiled executables to target systems. Install only if you have executables compiled with Intel compilers and need their runtime dependencies on a machine without the development toolkit. Verify that the license terms (Intel End User License Agreement) align with your deployment model before proceeding.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Platform-specific wheels require matching architecture (x86_64 Linux or Windows x64); Intel-compiled executables must be available to use these libraries; description indicates COMMON LICENSING package should also be installed
- Released 16 days ago with active maintenance.
- Medium install friction due to platform-specific wheels (manylinux_2_28_x86_64, win_amd64); no runtime dependencies simplifies deployment once installed.
License · maintenance · safety
(unclear) — Licensed under Intel End User License Agreement for Developer Tools with unclear treatment classification. Verify compliance with your use case before deploying in production or commercial contexts.
last release 2026-07-29 (16 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 453,745 downloads/mo, #6,573 on PyPI
Alternatives
Verify before relying
# Install the runtime libraries
pip install intel-cmplr-lib-rt==2026.1.1
# Then run an Intel-compiled executable that depends on these libraries
./my_intel_compiled_binary- Whether this package must be installed alongside intel-cmplr-lib-rt-licensing and compiler-specific runtimes as the description suggests, or if those are optional
- Exact Python version compatibility (requires_python is unspecified in metadata)
- Whether installation requires system-level permissions or elevated privileges
What it is and what it does
This is a runtime library package for Intel oneAPI, designed to be installed on target systems that will run Intel-compiled executables but do not have the full oneAPI development toolkits. It contains the shared common libraries needed for deployment. The package is platform-specific, with separate wheels for Linux (manylinux_2_28_x86_64) and Windows (win_amd64), and has no Python runtime dependencies.
According to its description, this package should be downloaded and installed alongside the COMMON LICENSING package and one or more compiler-specific runtimes. It is intended for developers, system administrators, educators, and researchers who need to distribute Intel-compiled applications to end-user machines.
Use it for
- Deploy Intel-compiled C/C++ or Fortran applications to production servers without installing the full oneAPI toolkit
- Set up runtime environments in containerized deployments (Docker, Kubernetes) for Intel-compiled workloads
- Distribute scientific or HPC applications compiled with Intel compilers to end-user systems
- Reduce deployment footprint by installing only runtime libraries instead of full development tools
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are deploying Intel oneAPI-compiled executables to target systems.
Install only if you have executables compiled with Intel compilers and need their runtime dependencies on a machine without the development toolkit. Verify that the license terms (Intel End User License Agreement) align with your deployment model before proceeding.
Install
intel-cmplr-lib-rt on PyPI
Before you install
Released 16 days ago with active maintenance. Medium install friction due to platform-specific wheels (manylinux_2_28_x86_64, win_amd64); no runtime dependencies simplifies deployment once installed.
Platform-specific wheels require matching architecture (x86_64 Linux or Windows x64); Intel-compiled executables must be available to use these libraries; description indicates COMMON LICENSING package should also be installed
License in practice
Licensed under Intel End User License Agreement for Developer Tools with unclear treatment classification. Verify compliance with your use case before deploying in production or commercial contexts.
Quickstart
# Install the runtime libraries
pip install intel-cmplr-lib-rt==2026.1.1
# Then run an Intel-compiled executable that depends on these libraries
./my_intel_compiled_binaryVerify before relying
- Whether this package must be installed alongside intel-cmplr-lib-rt-licensing and compiler-specific runtimes as the description suggests, or if those are optional
- Exact Python version compatibility (requires_python is unspecified in metadata)
- Whether installation requires system-level permissions or elevated privileges
Package facts
| License | Not declared unclear |
| Python support | Not specified |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 16 days since the last release |
| First released | |
| Downloads | 453,745 / month, #6,573 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_rt-2026.1.1-py2.py3-none-manylinux_2_28_x86_64.whl; intel_cmplr_lib_rt-2026.1.1-py2.py3-none-win_amd64.whl
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See also intel-cmplr-lib-ur · intel-cmplr-lic-rt · intel-opencl-rt · intel-pti · dpcpp-cpp-rt · intel-sycl-rt · intel-openmp · oneccl · tcmlib · oneccl-devel