dask 2026.1.2

Parallel PyData with Task Scheduling

Stars: 13743, Watchers: 13743, Forks: 1842, Open Issues: 1222

The dask/dask repo was created 11 years ago and the last code push was Yesterday.
The project is extremely popular with a mindblowing 13743 github stars!

How to Install dask

You can install dask using pip

pip install dask

or add it to a project with poetry

poetry add dask

Package Details

Author

None

License

None

Homepage

None

PyPi:

https://pypi.org/project/dask/

GitHub Repo:

https://github.com/dask/dask

Classifiers

• Scientific/Engineering
• System/Distributed Computing

Related Packages

Errors

A list of common dask errors.

Code Examples

Here are some dask code examples and snippets.

GitHub Issues

The dask package has 1222 open issues on GitHub

• ⚠️ Upstream CI failed ⚠️
• .groupby() with by=[<boolean>] raises KeyError
• DataFrame with mixed use of index and columns and .loc[] brings inconsistencies
• dask.dataframe.size with index brings inconsistencies
• dask.dataframe.drop() is invalid
• .sort_values(by='c0', inplace=True) brings inconsistencies
• Fix nunique axis columns
• .nunique(axis='columns', dropna=False) brings inconsistencies
• DOC: Improve coarsen docstring with detailed reduction requirements
• Provide a feature to assess if a given function is lazy or computes under the hood
• Fixed behavior of da.to_zarr kwargs to be backwards compatible
• da.to_zarr kwargs apply no longer apply to writes as of dask==2025.12.0
• dask.dataframe.read_csv from mixed numeric and alphabetic characters data leads to Segmentation Fault
• Pandas 3 test failures
• Propagate contextvars to worker threads; catch warnings in 3.14t

See more issues on GitHub