Intel® oneAPI Data Analytics Library

oneDAL is a C++ and DPC++ library for accelerated machine learning routines on tabular data, governed by the UXL Foundation.

github.com/uxlfoundation/oneDAL
Intel® oneAPI Data Analytics Library homepage screenshot

About Intel® oneAPI Data Analytics Library

oneAPI Data Analytics Library (oneDAL) is a C++ and DPC++ library that provides accelerated machine learning routines for tabular data, such as linear regression, K-means clustering and random forests. It runs on CPUs, GPUs and multi-node distributed setups. The project is governed by the UXL Foundation and is released under the Apache-2.0 license.

Pricing is not clearly stated.

Key features

  • Accelerated machine learning routines for tabular data
  • CPU and GPU acceleration
  • Scikit-learn extension for existing Python code
  • Native C++ interfaces, with or without SYCL
  • Apache Spark MLlib acceleration
  • Pre-built binaries and source builds
Best for: Developers building high-performance data science applications, especially those using scikit-learn or Apache Spark.

Intel® oneAPI Data Analytics Library at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Details verified
Oct 22, 2026 · Official source
Open source
Yes · Source code
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Intel® oneAPI Data Analytics Library FAQ

How can I get help with oneDAL?
You can ask questions and join discussions in GitHub Discussions or the Community Forum. The oneDAL team can also be contacted on UXL Foundation Slack in the #onedal channel.
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