https://github.com/joblib/joblib
Computing with Python functions.
https://github.com/joblib/joblib
caching memoization multiprocessing parallel-computing python threading
Last synced: about 8 hours ago
JSON representation
Computing with Python functions.
- Host: GitHub
- URL: https://github.com/joblib/joblib
- Owner: joblib
- License: bsd-3-clause
- Created: 2010-05-07T06:48:26.000Z (almost 15 years ago)
- Default Branch: main
- Last Pushed: 2025-04-11T11:34:54.000Z (12 days ago)
- Last Synced: 2025-04-22T09:51:03.279Z (about 15 hours ago)
- Topics: caching, memoization, multiprocessing, parallel-computing, python, threading
- Language: Python
- Homepage: http://joblib.readthedocs.org
- Size: 4.21 MB
- Stars: 4,043
- Watchers: 62
- Forks: 429
- Open Issues: 421
-
Metadata Files:
- Readme: README.rst
- Changelog: CHANGES.rst
- License: LICENSE.txt
- Citation: CITATION.cff
- Security: SECURITY.md
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README
|PyPi| |CIStatus| |ReadTheDocs| |Codecov|
.. |PyPi| image:: https://badge.fury.io/py/joblib.svg
:target: https://badge.fury.io/py/joblib
:alt: Joblib version.. |CIStatus| image:: https://github.com/joblib/joblib/actions/workflows/test.yml/badge.svg
:target: https://github.com/joblib/joblib/actions/workflows/test.yml?query=branch%3Amain
:alt: CI status.. |ReadTheDocs| image:: https://readthedocs.org/projects/joblib/badge/?version=latest
:target: https://joblib.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status.. |Codecov| image:: https://codecov.io/gh/joblib/joblib/branch/main/graph/badge.svg
:target: https://codecov.io/gh/joblib/joblib
:alt: Codecov coverageThe homepage of joblib with user documentation is located on:
https://joblib.readthedocs.io
Getting the latest code
=======================To get the latest code using git, simply type::
git clone https://github.com/joblib/joblib.git
If you don't have git installed, you can download a zip
of the latest code: https://github.com/joblib/joblib/archive/refs/heads/main.zipInstalling
==========You can use `pip` to install joblib from any directory::
pip install joblib
or install it in editable mode from the source directory::
pip install -e .
Dependencies
============- Joblib has no mandatory dependencies besides Python (supported versions are
3.9+).
- Joblib has an optional dependency on Numpy (at least version 1.6.1) for array
manipulation.
- Joblib includes its own vendored copy of
`loky `_ for process management.
- Joblib can efficiently dump and load numpy arrays but does not require numpy
to be installed.
- Joblib has an optional dependency on
`python-lz4 `_ as a faster alternative to
zlib and gzip for compressed serialization.
- Joblib has an optional dependency on psutil to mitigate memory leaks in
parallel worker processes.
- Some examples require external dependencies such as pandas. See the
instructions in the `Building the docs`_ section for details.Workflow to contribute
======================To contribute to joblib, first create an account on `github
`_. Once this is done, fork the `joblib repository
`_ to have your own repository,
clone it using ``git clone``. Make your changes in a branch of your clone, push
them to your github account, test them locally, and when you are happy with
them, send a pull request to the main repository.You can use `pre-commit `_ to run code style checks
before each commit::pip install pre-commit
pre-commit installpre-commit checks can be disabled for a single commit with::
git commit -n
Running the test suite
======================To run the test suite, you need the pytest (version >= 3) and coverage modules.
Run the test suite using::pytest joblib
from the root of the project.
Building the docs
=================To build the docs you need to have sphinx (>=1.4) and some dependencies
installed::pip install -U -r .readthedocs-requirements.txt
The docs can then be built with the following command::
make doc
The html docs are located in the ``doc/_build/html`` directory.
Making a source tarball
=======================To create a source tarball, eg for packaging or distributing, run the
following command::pip install build
python -m build --sdistThe tarball will be created in the `dist` directory. This command will create
the resulting tarball that can be installed with no extra dependencies than the
Python standard library.Making a release and uploading it to PyPI
=========================================This command is only run by project manager, to make a release, and
upload in to PyPI::pip install build
python -m build --sdist --wheel
twine upload dist/*Note that the documentation should automatically get updated at each git
push. If that is not the case, try building th doc locally and resolve
any doc build error (in particular when running the examples).Updating the changelog
======================Changes are listed in the CHANGES.rst file. They must be manually updated
but, the following git command may be used to generate the lines::git log --abbrev-commit --date=short --no-merges --sparse