---
id: dask
version: "2026.7.1"
license: BSD-3-Clause
license_treatment: permissive
maintenance: active
---

# dask — Parallel PyData with Task Scheduling

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install dask
uv add dask
poetry add dask

## Description

Dask
====

|Build Status| |Coverage| |Doc Status| |Discourse| |Version Status| |NumFOCUS|

Dask is a flexible parallel computing library for analytics.  See
documentation_ for more information.


LICENSE
-------

New BSD. See `License File <https://github.com/dask/dask/blob/main/LICENSE.txt>`__.

.. _documentation: https://dask.org
.. |Build Status| image:: https://github.com/dask/dask/actions/workflows/tests.yml/badge.svg
   :target: https://github.com/dask/dask/actions/workflows/tests.yml
.. |Coverage| image:: https://codecov.io/gh/dask/dask/branch/main/graph/badge.svg
   :target: https://codecov.io/gh/dask/dask/branch/main
   :alt: Coverage status
.. |Doc Status| image:: https://readthedocs.org/projects/dask/badge/?version=latest
   :target: https://dask.org
   :alt: Documentation Status
.. |Discourse| image:: https://img.shields.io/discourse/users?logo=discourse&server=https%3A%2F%2Fdask.discourse.group
   :alt: Discuss Dask-related things and ask for help
   :target: https://dask.discourse.group
.. |Version Status| image:: https://img.shields.io/pypi/v/dask.svg
   :target: https://pypi.python.org/pypi/dask/
.. |NumFOCUS| image::...

## AI interpretation — verify before relying

Dask is a flexible parallel computing library that enables distributed task scheduling and analytics workloads across multiple cores or machines, integrating with NumPy and Pandas data structures.

Verdict: Dask is a mature, actively maintained parallel computing framework with permissive BSD-3-Clause licensing and low installation friction. No known vulnerabilities and broad Python version support make it a reliable choice for analytics workloads requiring task scheduling or distributed computation.

[View on SkillFed](https://skillfed.io/packages/dask) · [View on PyPI](https://pypi.org/project/dask/)