oneccl-devel
Intel® oneAPI Collective Communications Library
Decision gist · record as of 2026-08-14
Yes, if you are building distributed training on Linux x86_64 and need Intel's optimized collective communication library. Medium friction due to platform specificity and unclear Python version support—verify compatibility before committing. License is proprietary; confirm terms for your use case. No known vulnerabilities. Active maintenance is a positive signal.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Linux x86_64 architecture (manylinux_2_28 glibc minimum).
- Python version support is unspecified; verify compatibility with your environment.
- Medium install friction due to platform-specific wheel (manylinux_2_28_x86_64 only).
License · maintenance · safety
(unclear) — Licensed under Intel Simplified Software License (proprietary, not SPDX-identified). License treatment is unclear—review Intel's terms before use in commercial or redistributed contexts.
last release 2026-07-15 (30 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 144,120 downloads/mo, #11,161 on PyPI
Alternatives
Verify before relying
pip install oneccl-devel
import oneccl- Exact Python version requirements and compatibility range not specified in metadata.
- Whether oneccl-devel is intended as a standalone package or primarily as a build/development dependency.
- Specific use cases and integration patterns with popular distributed training frameworks.
What it is and what it does
oneccl-devel is Intel's oneAPI Collective Communications Library packaged for Python, designed to accelerate distributed training across multiple nodes in machine learning and high-performance computing environments. It provides optimized communication primitives for data-parallel training scenarios where gradients and model state must be synchronized across GPUs or CPUs.
The package is platform-specific, distributed as a compiled wheel for Linux x86_64 systems. It depends on the oneccl runtime library and is classified as production-stable. The library is intended for developers, researchers, and system administrators building scalable training pipelines, though the exact integration points and API surface are not detailed in the available metadata.
Use it for
- Accelerating distributed training of large neural networks across multiple GPU or CPU nodes.
- Optimizing collective operations (allreduce, broadcast, gather) in data-parallel training frameworks.
- Building HPC applications requiring efficient inter-node communication on Intel architectures.
- Integrating with Intel oneAPI ecosystem for unified compute and communication stack.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building distributed training on Linux x86_64 and need Intel's optimized collective communication library.
Medium friction due to platform specificity and unclear Python version support—verify compatibility before committing. License is proprietary; confirm terms for your use case. No known vulnerabilities. Active maintenance is a positive signal.
Install
oneccl-devel on PyPI
Before you install
Medium install friction due to platform-specific wheel (manylinux_2_28_x86_64 only). Package is actively maintained with recent releases, though repository details are not publicly available.
Requires Linux x86_64 architecture (manylinux_2_28 glibc minimum). Python version support is unspecified; verify compatibility with your environment.
License in practice
Licensed under Intel Simplified Software License (proprietary, not SPDX-identified). License treatment is unclear—review Intel's terms before use in commercial or redistributed contexts.
Quickstart
pip install oneccl-devel
import onecclVerify before relying
- Exact Python version requirements and compatibility range not specified in metadata.
- Whether oneccl-devel is intended as a standalone package or primarily as a build/development dependency.
- Specific use cases and integration patterns with popular distributed training frameworks.
Package facts
| License | Not declared unclear |
| Python support | Not specified |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 1 packageoneccl |
| Maintenance | Actively maintained 30 days since the last release |
| First released | |
| Downloads | 144,120 / month, #11,161 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 :: POSIX :: LinuxTopic :: Software Development :: Libraries |
Evidence: oneccl_devel-2022.1.1-py2.py3-none-manylinux_2_28_x86_64.whl
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See also oneccl · impi-rt · tbb-devel · onemkl-sycl-lapack · mkl · tbb · onemkl-sycl-blas · onemkl-sycl-dft · onemkl-sycl-sparse · mkl-static