oneccl
Intel® oneAPI Collective Communications Library Runtime Environment
Decision gist · record as of 2026-08-14
Yes, if you are running distributed training on Intel hardware and your training framework (PyTorch, TensorFlow, etc.) lists oneccl as a dependency or recommends it for performance. No, if you are not doing distributed training or are using non-Intel hardware. Clarify the proprietary license terms with Intel before production use in commercial or regulated environments.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires impi-rt and intel-sycl-rt runtime dependencies; x86_64 Linux only (manylinux_2_28).
- Medium install friction due to platform-specific wheels and two Intel runtime dependencies (impi-rt and intel-sycl-rt).
- Package is actively maintained with recent releases.
License · maintenance · safety
(unclear) — Licensed under Intel Simplified Software License (proprietary, not SPDX-identified). License treatment is unclear—review Intel's terms before deploying in production or commercial contexts.
last release 2026-07-15 (30 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 148,063 downloads/mo, #11,045 on PyPI
Alternatives
Verify before relying
pip install oneccl
import oneccl
# Runtime depends on impi-rt and intel-sycl-rt being available in the environment- Whether Python version support is truly unspecified or if there are undocumented constraints.
- Whether the two runtime dependencies (impi-rt, intel-sycl-rt) are automatically installed or require manual setup.
- Compatibility with non-x86_64 architectures or non-Linux operating systems.
What it is and what it does
oneccl is Intel's oneAPI Collective Communications Library runtime, a low-level component for distributed machine learning training. It provides optimized communication primitives (allreduce, broadcast, etc.) across multiple compute nodes, typically used as a backend by higher-level distributed training frameworks. The package itself is a runtime environment rather than a user-facing API—it is usually installed as a dependency of other tools rather than used directly.
The package carries medium install friction because it depends on two Intel-specific runtime libraries (impi-rt and intel-sycl-rt) and is distributed only as a pre-built wheel for x86_64 Linux. It is actively maintained and carries no known security vulnerabilities, but its license is proprietary and not SPDX-identified, which may matter for compliance-sensitive deployments.
Use it for
- Backend runtime for distributed PyTorch or TensorFlow training on Intel hardware clusters.
- Enabling multi-node collective operations in custom distributed training scripts.
- Optimizing communication latency in large-scale machine learning workloads on Intel systems.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are running distributed training on Intel hardware and your training framework (PyTorch, TensorFlow, etc.) lists oneccl as a dependency or recommends it for performance.
No, if you are not doing distributed training or are using non-Intel hardware. Clarify the proprietary license terms with Intel before production use in commercial or regulated environments.
Install
oneccl on PyPI
Before you install
Medium install friction due to platform-specific wheels and two Intel runtime dependencies (impi-rt and intel-sycl-rt). Package is actively maintained with recent releases.
Requires impi-rt and intel-sycl-rt runtime dependencies; x86_64 Linux only (manylinux_2_28).
License in practice
Licensed under Intel Simplified Software License (proprietary, not SPDX-identified). License treatment is unclear—review Intel's terms before deploying in production or commercial contexts.
Quickstart
pip install oneccl
import oneccl
# Runtime depends on impi-rt and intel-sycl-rt being available in the environmentVerify before relying
- Whether Python version support is truly unspecified or if there are undocumented constraints.
- Whether the two runtime dependencies (impi-rt, intel-sycl-rt) are automatically installed or require manual setup.
- Compatibility with non-x86_64 architectures or non-Linux operating systems.
Package facts
| License | Not declared unclear |
| Python support | Not specified |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 2 packagesimpi-rtintel-sycl-rt |
| Maintenance | Actively maintained 30 days since the last release |
| First released | |
| Downloads | 148,063 / month, #11,045 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-2022.1.1-py2.py3-none-manylinux_2_28_x86_64.whl
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See also oneccl-devel · intel-cmplr-lib-rt · intel-pti · impi-rt · tbb · onemkl-sycl-lapack · intel-cmplr-lib-ur · tbb-devel · mkl · nccl4py