Cleanlab provides a Python library for data quality and machine learning with messy real world data and labels.
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.

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
Intel® oneAPI Data Analytics Library at a glance
- Category
- AI & Machine Learning › AI Data & Analytics
- 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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