blosc2

============= Python-Blosc2

A fast & compressed ndarray library with a flexible compute engine

:Author: The Blosc development team :Contact: [e-mail] :Github: https://github.com/Blosc/python-blosc2 :Actions: |actions| :PyPi: |version| :NumFOCUS: |numfocus| :Code of Conduct: |Contributor Covenant|

.. |version| image:: https://img.shields.io/pypi/v/blosc2.svg :target: https://pypi.python.org/pypi/blosc2 .. |Contributor Covenant| image:: https://img.shields.io/badge/Contributor%20Covenant-v2.0%20adopted-ff69b4.svg :target: https://github.com/Blosc/community/blob/master/code_of_conduct.md .. |numfocus| image:: https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A :target: https://numfocus.org .. |actions| image:: https://github.com/Blosc/python-blosc2/actions/workflows/build.yml/badge.svg :target: https://github.com/Blosc/python-blosc2/actions/workflows/build.yml

What is Python-Blosc2?

Python-Blosc2 is a high-performance compressed ndarray library with a flexible compute engine, using C-Blosc2 <https://www.blosc.org/c-blosc2/c-blosc2.html>_ as its compression backend. It allows complex calculations on compressed data, whether stored in memory, on disk, or over the network (e.g., via Caterva2 <https://github.com/ironArray/Caterva2>). It uses the C-Blosc2 simple and open format <https://github.com/Blosc/c-blosc2/blob/main/README_FORMAT.rst> for storing compressed data.

More info: https://www.blosc.org/python-blosc2/getting_started/overview.html

Installing

Binary packages are available for major OSes (Win, Mac, Linux) and platforms. Install from PyPi using pip:

.. code-block:: console

pip install blosc2 --upgrade

Conda users can install from conda-forge:

.. code-block:: console

conda install -c conda-forge python-blosc2

Documentation

The documentation is available here:

https://blosc.org/python-blosc2/python-blosc2.html

You can find examples at:

https://github.com/Blosc/python-blosc2/tree/main/examples

A tutorial from PyData Global 2024 is available at:

https://github.com/Blosc/Python-Blosc2-3.0-tutorial

It contains Jupyter notebooks explaining the main features of Python-Blosc2.

License

This software is licensed under a 3-Clause BSD license. A copy of the python-blosc2 license can be found in LICENSE.txt <https://github.com/Blosc/python-blosc2/tree/main/LICENSE.txt>_.

Discussion forum

Discussion about this package is welcome at:

https://github.com/Blosc/python-blosc2/discussions

Social feeds

Stay informed about the latest developments by following us in Mastodon <https://fosstodon.org/@Blosc2>, Bluesky <https://bsky.app/profile/blosc.org> or LinkedIn <https://www.linkedin.com/company/88381936/admin/dashboard/>_.

Thanks

Blosc2 is supported by the NumFOCUS foundation <https://numfocus.org>, the LEAPS-INNOV project <https://www.leaps-innov.eu> and ironArray SLU <https://ironarray.io>_, among many other donors. This allowed the following people have contributed in an important way to the core development of the Blosc2 library:

• Francesc Alted
• Marta Iborra
• Luke Shaw
• Aleix Alcacer
• Oscar Guiñón
• Juan David Ibáñez
• Ivan Vilata i Balaguer
• Oumaima Ech.Chdig
• Ricardo Sales Piquer

In addition, other people have participated to the project in different aspects:

• Jan Sellner, contributed the mmap support for NDArray/SChunk objects.
• Dimitri Papadopoulos, contributed a large bunch of improvements to the in many aspects of the project. His attention to detail is remarkable.
• And many others that have contributed with bug reports, suggestions and improvements.

Citing Blosc

You can cite our work on the various libraries under the Blosc umbrella as follows:

.. code-block:: console

@ONLINE{blosc, author = {{Blosc Development Team}}, title = "{A fast, compressed and persistent data store library}", year = {2009-2025}, note = {https://blosc.org} }

Support Blosc for a Sustainable Future

If you find Blosc useful and want to support its development, please consider making a donation or contract to the Blosc Development Team <https://www.blosc.org/pages/blosc-in-depth/#support-blosc>_ Thank you!

Compress Better, Compute Bigger