daal4py - A Convenient Python API to the Intel(R) oneAPI Data Analytics Library

IMPORTANT NOTICE: daal4py has been merged into scikit-learn-intelex. As of version 2025.0, it is distributed as an additional importable module within the package scikit-learn-intelex instead of being a separate package. The last standalone release of daal4py was version 2024.7, and this standalone package will not receive further updates.

A simplified API to Intel(R) oneAPI Data Analytics Library that allows for fast usage of the framework suited for Data Scientists or Machine Learning users. Built to help provide an abstraction to Intel(R) oneAPI Data Analytics Library for either direct usage or integration into one's own framework.

Note: For the most part, daal4py is used as an internal backend within the Intel(R) Scikit-Learn extension, and it is highly recommended to use sklearnex instead. Nevertheless, some functionalities from daal4py can still be of use, and the module can still be imported directly (import daal4py) after installing scikit-learn-intelex.

👀 Follow us on Medium

We publish blogs on Medium, so follow us to learn tips and tricks for more efficient data analysis the help of daal4py. Here are our latest blogs:

• Intel Gives Scikit-Learn the Performance Boost Data Scientists Need
• From Hours to Minutes: 600x Faster SVM
• Improve the Performance of XGBoost and LightGBM Inference
• Accelerate Kaggle Challenges Using Intel AI Analytics Toolkit
• Accelerate Your scikit-learn Applications
• Accelerate Linear Models for Machine Learning
• Accelerate K-Means Clustering

🔗 Important links

• Documentation
• scikit-learn API and patching
• Building from Sources
• About Intel(R) oneAPI Data Analytics Library

💬 Support

Report issues, ask questions, and provide suggestions using:

• GitHub Issues
• GitHub Discussions
• Forum

You may reach out to project maintainers privately at onedal.maintainers@intel.com

🛠 Installation

Daal4Py is distributed as part of scikit-learn-intelex, which itself is distributed under different channels.

See the installation instructions for scikit-learn-intelex for details.

⚠️ Note: GPU and MPI support are optional dependencies. Required dependencies for GPU and MPI support will not be downloaded. You need to manually install dpcpp_cpp_rt and dpctl packages for GPU support, and mpi4py with impi_rt as backend package for MPI support.

[Click to expand] ℹ️ How to install dpcpp_cpp_rt and impi_rt packages

# PyPi for dpcpp
pip install -U dpcpp_cpp_rt dpctl

# PyPi for MPI
pip install -U mpi4py impi_rt

# Anaconda Cloud for dpcpp
conda install dpcpp_cpp_rt dpctl -c https://software.repos.intel.com/python/conda/

# Anaconda Cloud for MPI
conda install mpi4py impi_rt -c https://software.repos.intel.com/python/conda/

⚠️ Scikit-learn patching

Scikit-learn patching functionality in daal4py was deprecated and moved to a separate package - Intel(R) Extension for Scikit-learn*. All future updates for the patching will be available in Intel(R) Extension for Scikit-learn only. Please use the package instead of daal4py for the Scikit-learn acceleration.