intel-cmplr-lib-ur

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

Provides shared runtime libraries for Intel oneAPI, enabling unified device-agnostic interfaces across software platforms and compiler runtimes.

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

pip install intel-cmplr-lib-ur

uv add intel-cmplr-lib-ur

poetry add intel-cmplr-lib-ur

Installing intel-cmplr-lib-ur

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.

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.

Requires Windows (win_amd64) or Linux (manylinux_2_28_x86_64); no other architectures are supported by the published wheels.

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

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

Tags

More Libraries packages