---
id: oneccl
version: "2022.1.1"
license: Intel Simplified Software License
license_treatment: unclear
maintenance: active
---

# oneccl — Intel® oneAPI Collective Communications Library Runtime Environment

License: unclear · Maintenance: active · Downloads: 148.1K/mo

## 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 above — verify before relying.

Provides Intel's oneAPI Collective Communications Library runtime for distributed training workloads, enabling scalable communication across multiple compute nodes.

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

pip install oneccl
uv add oneccl
poetry add oneccl

## Installing oneccl

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.

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 environment

Requires impi-rt and intel-sycl-rt runtime dependencies; x86_64 Linux only (manylinux_2_28).

Verify 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: Intel Simplified Software License (unclear)
- Python support: unspecified
- Install friction: medium
- Maintenance: active
- Downloads: 148.1K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

distributed training communication, collective communications library, intel oneapi runtime, multi-node training, scalable distributed computing, distributed-training, intel-hardware

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