blosc2 · Python Simple Repository Browser

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Author: Blosc Development Team

Maintainer: Blosc Development Team

Requires Python: >=3.10

Classifiers

Development Status

6 - Mature

Intended Audience

Developers
Information Technology
Science/Research

License

OSI Approved :: BSD License

Programming Language

Python :: 3
Python :: 3.10
Python :: 3.11
Python :: 3.12
Python :: 3.13
Python :: 3.14

Topic

Software Development :: Libraries :: Python Modules

Operating System

Microsoft :: Windows
Unix

A fast & compressed ndarray library with a flexible compute engine

Author:: The Blosc development team
Contact:: blosc@blosc.org
Github:: https://github.com/Blosc/python-blosc2
Actions:
PyPi:
NumFOCUS:
Code of Conduct:

What is Python-Blosc2?

Python-Blosc2 is a high-performance compressed ndarray library with a flexible compute engine, using C-Blosc2 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). It uses the C-Blosc2 simple and open format 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:

pip install blosc2 --upgrade

Conda users can install from conda-forge:

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.

Discussion forum

Discussion about this package is welcome at:

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

Thanks

Blosc2 is supported by the NumFOCUS foundation, the LEAPS-INNOV project and ironArray SLU, 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 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:

@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 Thank you!

Compress Better, Compute Bigger

3.0.0rc3 Dec 10, 2024

3.0.0rc2 Dec 02, 2024

3.0.0rc1 Nov 28, 2024

Wheel compatibility matrix

Platform	CPython 3.10	CPython 3.11	CPython 3.12	CPython 3.13	CPython 3.14	CPython (additional flags: t) 3.14
macosx_10_13_x86_64
macosx_10_15_x86_64
macosx_10_9_x86_64
macosx_11_0_arm64
manylinux2014_aarch64
manylinux2014_x86_64
manylinux_2_17_aarch64
manylinux_2_17_x86_64
win_amd64