daal4py

library2024.7.0pypypiunverified

daal4py provides a convenient Python API to Intel® oneAPI Data Analytics Library (oneDAL) for accelerating machine learning and data analysis. Current stable version is 2024.7.0 on PyPI, with newer releases (2025.11.0) available via Intel's Extension for Scikit-learn. Release cadence is approximately monthly.

ai-ml data

pip install daal4py

github ↗package ↗homepage ↗docs ↗

INSTALL

IMPORT

SIG · DAAL4PY

daal4py

ai-mlpythonv2024.7.0

Install

7.4s avg

Import

—

Disk

131MB

Pass rate

5/ 10

Env Coverage5 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v2024.7.0 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

build_error

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 7.4s · import 0.000s · 129MB

131MB installed

● package 131MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

daal4py

✓ import daal4py

✗ import daal4py

sklearnex

✓ import sklearnex

✗ import daal4py

onedal

✓ import onedal

✗ import daal4py

Simple K-Means using oneDAL native API with SYCL context.

import numpy as np import daal4py from daal4py.oneapi import sycl_context # Example: K-Means clustering (oneDAL native) data = np.random.rand(100, 5).astype(np.float64) with sycl_context('cpu'): n_clusters = 3 algo = daal4py.kmeans(nClusters=n_clusters, maxIterations=100) result = algo.compute(data) print(result.centroids)

Debug

Known issues

breakingdaal4py 2020.x has a different API compared to newer versions. Upgrade may require code changes.

fix

Refer to migration guide: https://intelpython.github.io/daal4py/migration.html

affects: <2021.0

deprecatedInternal dpctl tensor handling functionality is deprecated and will be removed in future releases.

fix

Use standard numpy or dpctl arrays directly.

affects: >=2025.11.0

gotchadaal4py objects (e.g., from compute) must not be reused after passing to another compute; create fresh instances.

fix

Always create a new algorithm object for each call.

affects: all

gotchaSYCL context must be set before calling any daal4py compute, otherwise it defaults to CPU host.

fix

Use 'with sycl_context("gpu"):' to ensure GPU usage.

affects: all

Upgrade

Version history

2024.7.0latest on PyPI · released Sep 17, 2024

Audit

Dependencies

numpyrequiredCore dependency for array operations

scikit-learnoptionalFor compatibility and integration with scikit-learn estimators

Agent activity

17 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/IntelPython/daal4py ↗

packagehttps://pypi.org/project/daal4py/ ↗

homepagehttps://www.intel.com/content/www/us/en/developer/tools/oneapi/onedal.html ↗

docshttps://intelpython.github.io/daal4py/ ↗