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Commit e5d57430 authored by Ido Henri Mamia's avatar Ido Henri Mamia
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Merge branch 'dev' of https://github.com/open-webui/open-webui into feat/rtl-layout-chat-support

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static/pyodide/kiwisolver-1.4.5-cp312-cp312-emscripten_3_1_52_wasm32.whl.metadata 0 → 100644
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Metadata-Version: 2.1
Name: kiwisolver
Version: 1.4.5
Summary: A fast implementation of the Cassowary constraint solver
Author-email: The Nucleic Development Team <sccolbert@gmail.com>
Maintainer-email: "Matthieu C. Dartiailh" <m.dartiailh@gmail.com>
License: =========================
The Kiwi licensing terms
=========================
Kiwi is licensed under the terms of the Modified BSD License (also known as
New or Revised BSD), as follows:
Copyright (c) 2013, Nucleic Development Team
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
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Neither the name of the Nucleic Development Team nor the names of its
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
About Kiwi
----------
Chris Colbert began the Kiwi project in December 2013 in an effort to
create a blisteringly fast UI constraint solver. Chris is still the
project lead.
The Nucleic Development Team is the set of all contributors to the Nucleic
project and its subprojects.
The core team that coordinates development on GitHub can be found here:
http://github.com/nucleic. The current team consists of:
* Chris Colbert
Our Copyright Policy
--------------------
Nucleic uses a shared copyright model. Each contributor maintains copyright
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#------------------------------------------------------------------------------
# Copyright (c) 2013, Nucleic Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
#------------------------------------------------------------------------------
Project-URL: homepage, https://github.com/nucleic/kiwi
Project-URL: documentation, https://kiwisolver.readthedocs.io/en/latest/
Project-URL: repository, https://github.com/nucleic/kiwi
Project-URL: changelog, https://github.com/nucleic/kiwi/blob/main/releasenotes.rst
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
License-File: LICENSE
Requires-Dist: typing-extensions ; python_version < "3.8"
Welcome to Kiwi
===============
.. image:: https://travis-ci.org/nucleic/kiwi.svg?branch=main
:target: https://travis-ci.org/nucleic/kiwi
.. image:: https://github.com/nucleic/kiwi/workflows/Continuous%20Integration/badge.svg
:target: https://github.com/nucleic/kiwi/actions
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:target: https://codecov.io/gh/nucleic/kiwi
.. image:: https://readthedocs.org/projects/kiwisolver/badge/?version=latest
:target: https://kiwisolver.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
Kiwi is an efficient C++ implementation of the Cassowary constraint solving
algorithm. Kiwi is an implementation of the algorithm based on the
`seminal Cassowary paper <https://constraints.cs.washington.edu/solvers/cassowary-tochi.pdf>`_.
It is *not* a refactoring of the original C++ solver. Kiwi has been designed
from the ground up to be lightweight and fast. Kiwi ranges from 10x to 500x
faster than the original Cassowary solver with typical use cases gaining a 40x
improvement. Memory savings are consistently > 5x.
In addition to the C++ solver, Kiwi ships with hand-rolled Python bindings for
Python 3.7+.
static/pyodide/matplotlib-3.5.2-cp312-cp312-emscripten_3_1_52_wasm32.whl.metadata 0 → 100644
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Metadata-Version: 2.1
Name: matplotlib
Version: 3.5.2
Summary: Python plotting package
Home-page: https://matplotlib.org
Download-URL: https://matplotlib.org/users/installing.html
Author: John D. Hunter, Michael Droettboom
Author-email: matplotlib-users@python.org
License: PSF
Project-URL: Documentation, https://matplotlib.org
Project-URL: Source Code, https://github.com/matplotlib/matplotlib
Project-URL: Bug Tracker, https://github.com/matplotlib/matplotlib/issues
Project-URL: Forum, https://discourse.matplotlib.org/
Project-URL: Donate, https://numfocus.org/donate-to-matplotlib
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Framework :: Matplotlib
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: Python Software Foundation License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
License-File: LICENSE/LICENSE
License-File: LICENSE/LICENSE_AMSFONTS
License-File: LICENSE/LICENSE_BAKOMA
License-File: LICENSE/LICENSE_CARLOGO
License-File: LICENSE/LICENSE_COLORBREWER
License-File: LICENSE/LICENSE_JSXTOOLS_RESIZE_OBSERVER
License-File: LICENSE/LICENSE_QT4_EDITOR
License-File: LICENSE/LICENSE_SOLARIZED
License-File: LICENSE/LICENSE_STIX
License-File: LICENSE/LICENSE_YORICK
Requires-Dist: cycler >=0.10
Requires-Dist: fonttools >=4.22.0
Requires-Dist: kiwisolver >=1.0.1
Requires-Dist: numpy >=1.17
Requires-Dist: packaging >=20.0
Requires-Dist: pillow >=6.2.0
Requires-Dist: pyparsing >=2.2.1
Requires-Dist: python-dateutil >=2.7
|PyPi|_ |Downloads|_ |NUMFocus|_
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Matplotlib is a comprehensive library for creating static, animated, and
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Check out our `home page <https://matplotlib.org/>`_ for more information.
.. image:: https://matplotlib.org/_static/readme_preview.png
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Install
=======
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<https://matplotlib.org/stable/users/installing/index.html>`_ or
`installing.rst <doc/users/installing/index.rst>`_ in the source.
Contribute
==========
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Start at the `contributing guide
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static/pyodide/numpy-1.26.4-cp312-cp312-emscripten_3_1_52_wasm32.whl.metadata 0 → 100644
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Metadata-Version: 2.1
Name: numpy
Version: 1.26.4
Summary: Fundamental package for array computing in Python
Home-page: https://numpy.org
Author: Travis E. Oliphant et al.
Maintainer-Email: NumPy Developers <numpy-discussion@python.org>
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: Implementation :: CPython
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Classifier: Typing :: Typed
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Project-URL: Homepage, https://numpy.org
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Project-URL: Release notes, https://numpy.org/doc/stable/release
Requires-Python: >=3.9
Description-Content-Type: text/markdown
<h1 align="center">
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</h1><br>
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NumPy is the fundamental package for scientific computing with Python.
- **Website:** https://www.numpy.org
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- **Bug reports:** https://github.com/numpy/numpy/issues
- **Report a security vulnerability:** https://tidelift.com/docs/security
It provides:
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Testing:
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Code of Conduct
----------------------
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----------------------
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If you are new to contributing to open source, [this
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static/pyodide/package.json 0 → 100644
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Metadata-Version: 2.1
Name: packaging
Version: 23.2
Summary: Core utilities for Python packages
Author-email: Donald Stufft <donald@stufft.io>
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Typing :: Typed
Project-URL: Documentation, https://packaging.pypa.io/
Project-URL: Source, https://github.com/pypa/packaging
packaging
=========
.. start-intro
Reusable core utilities for various Python Packaging
`interoperability specifications <https://packaging.python.org/specifications/>`_.
This library provides utilities that implement the interoperability
specifications which have clearly one correct behaviour (eg: :pep:`440`)
or benefit greatly from having a single shared implementation (eg: :pep:`425`).
.. end-intro
The ``packaging`` project includes the following: version handling, specifiers,
markers, requirements, tags, utilities.
Documentation
-------------
The `documentation`_ provides information and the API for the following:
- Version Handling
- Specifiers
- Markers
- Requirements
- Tags
- Utilities
Installation
------------
Use ``pip`` to install these utilities::
pip install packaging
The ``packaging`` library uses calendar-based versioning (``YY.N``).
Discussion
----------
If you run into bugs, you can file them in our `issue tracker`_.
You can also join ``#pypa`` on Freenode to ask questions or get involved.
.. _`documentation`: https://packaging.pypa.io/
.. _`issue tracker`: https://github.com/pypa/packaging/issues
Code of Conduct
---------------
Everyone interacting in the packaging project's codebases, issue trackers, chat
rooms, and mailing lists is expected to follow the `PSF Code of Conduct`_.
.. _PSF Code of Conduct: https://github.com/pypa/.github/blob/main/CODE_OF_CONDUCT.md
Contributing
------------
The ``CONTRIBUTING.rst`` file outlines how to contribute to this project as
well as how to report a potential security issue. The documentation for this
project also covers information about `project development`_ and `security`_.
.. _`project development`: https://packaging.pypa.io/en/latest/development/
.. _`security`: https://packaging.pypa.io/en/latest/security/
Project History
---------------
Please review the ``CHANGELOG.rst`` file or the `Changelog documentation`_ for
recent changes and project history.
.. _`Changelog documentation`: https://packaging.pypa.io/en/latest/changelog/
static/pyodide/pandas-2.2.0-cp312-cp312-emscripten_3_1_52_wasm32.whl.metadata 0 → 100644
View file @ e5d57430
Metadata-Version: 2.1
Name: pandas
Version: 2.2.0
Summary: Powerful data structures for data analysis, time series, and statistics
Home-page: https://pandas.pydata.org
Author-Email: The Pandas Development Team <pandas-dev@python.org>
License: BSD 3-Clause License
Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
All rights reserved.
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Description-Content-Type: text/markdown
<div align="center">
<img src="https://pandas.pydata.org/static/img/pandas.svg"><br>
</div>
-----------------
# pandas: powerful Python data analysis toolkit
| | |
| --- | --- |
| Testing | [![CI - Test](https://github.com/pandas-dev/pandas/actions/workflows/unit-tests.yml/badge.svg)](https://github.com/pandas-dev/pandas/actions/workflows/unit-tests.yml) [![Coverage](https://codecov.io/github/pandas-dev/pandas/coverage.svg?branch=main)](https://codecov.io/gh/pandas-dev/pandas) |
| Package | [![PyPI Latest Release](https://img.shields.io/pypi/v/pandas.svg)](https://pypi.org/project/pandas/) [![PyPI Downloads](https://img.shields.io/pypi/dm/pandas.svg?label=PyPI%20downloads)](https://pypi.org/project/pandas/) [![Conda Latest Release](https://anaconda.org/conda-forge/pandas/badges/version.svg)](https://anaconda.org/conda-forge/pandas) [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/pandas.svg?label=Conda%20downloads)](https://anaconda.org/conda-forge/pandas) |
| Meta | [![Powered by NumFOCUS](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](https://numfocus.org) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3509134.svg)](https://doi.org/10.5281/zenodo.3509134) [![License - BSD 3-Clause](https://img.shields.io/pypi/l/pandas.svg)](https://github.com/pandas-dev/pandas/blob/main/LICENSE) [![Slack](https://img.shields.io/badge/join_Slack-information-brightgreen.svg?logo=slack)](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack) |
## What is it?
**pandas** is a Python package that provides fast, flexible, and expressive data
structures designed to make working with "relational" or "labeled" data both
easy and intuitive. It aims to be the fundamental high-level building block for
doing practical, **real world** data analysis in Python. Additionally, it has
the broader goal of becoming **the most powerful and flexible open source data
analysis / manipulation tool available in any language**. It is already well on
its way towards this goal.
## Table of Contents
- [Main Features](#main-features)
- [Where to get it](#where-to-get-it)
- [Dependencies](#dependencies)
- [Installation from sources](#installation-from-sources)
- [License](#license)
- [Documentation](#documentation)
- [Background](#background)
- [Getting Help](#getting-help)
- [Discussion and Development](#discussion-and-development)
- [Contributing to pandas](#contributing-to-pandas)
## Main Features
Here are just a few of the things that pandas does well:
- Easy handling of [**missing data**][missing-data] (represented as
`NaN`, `NA`, or `NaT`) in floating point as well as non-floating point data
- Size mutability: columns can be [**inserted and
deleted**][insertion-deletion] from DataFrame and higher dimensional
objects
- Automatic and explicit [**data alignment**][alignment]: objects can
be explicitly aligned to a set of labels, or the user can simply
ignore the labels and let `Series`, `DataFrame`, etc. automatically
align the data for you in computations
- Powerful, flexible [**group by**][groupby] functionality to perform
split-apply-combine operations on data sets, for both aggregating
and transforming data
- Make it [**easy to convert**][conversion] ragged,
differently-indexed data in other Python and NumPy data structures
into DataFrame objects
- Intelligent label-based [**slicing**][slicing], [**fancy
indexing**][fancy-indexing], and [**subsetting**][subsetting] of
large data sets
- Intuitive [**merging**][merging] and [**joining**][joining] data
sets
- Flexible [**reshaping**][reshape] and [**pivoting**][pivot-table] of
data sets
- [**Hierarchical**][mi] labeling of axes (possible to have multiple
labels per tick)
- Robust IO tools for loading data from [**flat files**][flat-files]
(CSV and delimited), [**Excel files**][excel], [**databases**][db],
and saving/loading data from the ultrafast [**HDF5 format**][hdfstore]
- [**Time series**][timeseries]-specific functionality: date range
generation and frequency conversion, moving window statistics,
date shifting and lagging
[missing-data]: https://pandas.pydata.org/pandas-docs/stable/user_guide/missing_data.html
[insertion-deletion]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html#column-selection-addition-deletion
[alignment]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html?highlight=alignment#intro-to-data-structures
[groupby]: https://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html#group-by-split-apply-combine
[conversion]: https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html#dataframe
[slicing]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#slicing-ranges
[fancy-indexing]: https://pandas.pydata.org/pandas-docs/stable/user_guide/advanced.html#advanced
[subsetting]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#boolean-indexing
[merging]: https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html#database-style-dataframe-or-named-series-joining-merging
[joining]: https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html#joining-on-index
[reshape]: https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html
[pivot-table]: https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html
[mi]: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#hierarchical-indexing-multiindex
[flat-files]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#csv-text-files
[excel]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#excel-files
[db]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#sql-queries
[hdfstore]: https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#hdf5-pytables
[timeseries]: https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#time-series-date-functionality
## Where to get it
The source code is currently hosted on GitHub at:
https://github.com/pandas-dev/pandas
Binary installers for the latest released version are available at the [Python
Package Index (PyPI)](https://pypi.org/project/pandas) and on [Conda](https://docs.conda.io/en/latest/).
```sh
# conda
conda install -c conda-forge pandas
```
```sh
# or PyPI
pip install pandas
```
The list of changes to pandas between each release can be found
[here](https://pandas.pydata.org/pandas-docs/stable/whatsnew/index.html). For full
details, see the commit logs at https://github.com/pandas-dev/pandas.
## Dependencies
- [NumPy - Adds support for large, multi-dimensional arrays, matrices and high-level mathematical functions to operate on these arrays](https://www.numpy.org)
- [python-dateutil - Provides powerful extensions to the standard datetime module](https://dateutil.readthedocs.io/en/stable/index.html)
- [pytz - Brings the Olson tz database into Python which allows accurate and cross platform timezone calculations](https://github.com/stub42/pytz)
See the [full installation instructions](https://pandas.pydata.org/pandas-docs/stable/install.html#dependencies) for minimum supported versions of required, recommended and optional dependencies.
## Installation from sources
To install pandas from source you need [Cython](https://cython.org/) in addition to the normal
dependencies above. Cython can be installed from PyPI:
```sh
pip install cython
```
In the `pandas` directory (same one where you found this file after
cloning the git repo), execute:
```sh
pip install .
```
or for installing in [development mode](https://pip.pypa.io/en/latest/cli/pip_install/#install-editable):
```sh
python -m pip install -ve . --no-build-isolation --config-settings=editable-verbose=true
```
See the full instructions for [installing from source](https://pandas.pydata.org/docs/dev/development/contributing_environment.html).
## License
[BSD 3](LICENSE)
## Documentation
The official documentation is hosted on [PyData.org](https://pandas.pydata.org/pandas-docs/stable/).
## Background
Work on ``pandas`` started at [AQR](https://www.aqr.com/) (a quantitative hedge fund) in 2008 and
has been under active development since then.
## Getting Help
For usage questions, the best place to go to is [StackOverflow](https://stackoverflow.com/questions/tagged/pandas).
Further, general questions and discussions can also take place on the [pydata mailing list](https://groups.google.com/forum/?fromgroups#!forum/pydata).
## Discussion and Development
Most development discussions take place on GitHub in this repo, via the [GitHub issue tracker](https://github.com/pandas-dev/pandas/issues).
Further, the [pandas-dev mailing list](https://mail.python.org/mailman/listinfo/pandas-dev) can also be used for specialized discussions or design issues, and a [Slack channel](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack) is available for quick development related questions.
There are also frequent [community meetings](https://pandas.pydata.org/docs/dev/development/community.html#community-meeting) for project maintainers open to the community as well as monthly [new contributor meetings](https://pandas.pydata.org/docs/dev/development/community.html#new-contributor-meeting) to help support new contributors.
Additional information on the communication channels can be found on the [contributor community](https://pandas.pydata.org/docs/development/community.html) page.
## Contributing to pandas
[![Open Source Helpers](https://www.codetriage.com/pandas-dev/pandas/badges/users.svg)](https://www.codetriage.com/pandas-dev/pandas)
All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.
A detailed overview on how to contribute can be found in the **[contributing guide](https://pandas.pydata.org/docs/dev/development/contributing.html)**.
If you are simply looking to start working with the pandas codebase, navigate to the [GitHub "issues" tab](https://github.com/pandas-dev/pandas/issues) and start looking through interesting issues. There are a number of issues listed under [Docs](https://github.com/pandas-dev/pandas/issues?labels=Docs&sort=updated&state=open) and [good first issue](https://github.com/pandas-dev/pandas/issues?labels=good+first+issue&sort=updated&state=open) where you could start out.
You can also triage issues which may include reproducing bug reports, or asking for vital information such as version numbers or reproduction instructions. If you would like to start triaging issues, one easy way to get started is to [subscribe to pandas on CodeTriage](https://www.codetriage.com/pandas-dev/pandas).
Or maybe through using pandas you have an idea of your own or are looking for something in the documentation and thinking ‘this can be improved’...you can do something about it!
Feel free to ask questions on the [mailing list](https://groups.google.com/forum/?fromgroups#!forum/pydata) or on [Slack](https://pandas.pydata.org/docs/dev/development/community.html?highlight=slack#community-slack).
As contributors and maintainers to this project, you are expected to abide by pandas' code of conduct. More information can be found at: [Contributor Code of Conduct](https://github.com/pandas-dev/.github/blob/master/CODE_OF_CONDUCT.md)
<hr>
[Go to Top](#table-of-contents)
static/pyodide/pillow-10.2.0-cp312-cp312-emscripten_3_1_52_wasm32.whl.metadata 0 → 100644
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Metadata-Version: 2.1
Name: pillow
Version: 10.2.0
Summary: Python Imaging Library (Fork)
Author-email: "Jeffrey A. Clark (Alex)" <aclark@aclark.net>
License: HPND
Project-URL: Changelog, https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst
Project-URL: Documentation, https://pillow.readthedocs.io
Project-URL: Funding, https://tidelift.com/subscription/pkg/pypi-pillow?utm_source=pypi-pillow&utm_medium=pypi
Project-URL: Homepage, https://python-pillow.org
Project-URL: Mastodon, https://fosstodon.org/@pillow
Project-URL: Release notes, https://pillow.readthedocs.io/en/stable/releasenotes/index.html
Project-URL: Source, https://github.com/python-pillow/Pillow
Project-URL: Twitter, https://twitter.com/PythonPillow
Keywords: Imaging
Classifier: Development Status :: 6 - Mature
Classifier: License :: OSI Approved :: Historical Permission Notice and Disclaimer (HPND)
Classifier: Programming Language :: Python :: 3 :: Only
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Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Multimedia :: Graphics
Classifier: Topic :: Multimedia :: Graphics :: Capture :: Digital Camera
Classifier: Topic :: Multimedia :: Graphics :: Capture :: Screen Capture
Classifier: Topic :: Multimedia :: Graphics :: Graphics Conversion
Classifier: Topic :: Multimedia :: Graphics :: Viewers
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Requires-Dist: pytest-timeout ; extra == 'tests'
Provides-Extra: typing
Requires-Dist: typing-extensions ; (python_version < "3.10") and extra == 'typing'
Provides-Extra: xmp
Requires-Dist: defusedxml ; extra == 'xmp'
<p align="center">
<img width="248" height="250" src="https://raw.githubusercontent.com/python-pillow/pillow-logo/main/pillow-logo-248x250.png" alt="Pillow logo">
</p>
# Pillow
## Python Imaging Library (Fork)
Pillow is the friendly PIL fork by [Jeffrey A. Clark (Alex) and
contributors](https://github.com/python-pillow/Pillow/graphs/contributors).
PIL is the Python Imaging Library by Fredrik Lundh and Contributors.
As of 2019, Pillow development is
[supported by Tidelift](https://tidelift.com/subscription/pkg/pypi-pillow?utm_source=pypi-pillow&utm_medium=readme&utm_campaign=enterprise).
<table>
<tr>
<th>docs</th>
<td>
<a href="https://pillow.readthedocs.io/?badge=latest"><img
alt="Documentation Status"
src="https://readthedocs.org/projects/pillow/badge/?version=latest"></a>
</td>
</tr>
<tr>
<th>tests</th>
<td>
<a href="https://github.com/python-pillow/Pillow/actions/workflows/lint.yml"><img
alt="GitHub Actions build status (Lint)"
src="https://github.com/python-pillow/Pillow/workflows/Lint/badge.svg"></a>
<a href="https://github.com/python-pillow/Pillow/actions/workflows/test.yml"><img
alt="GitHub Actions build status (Test Linux and macOS)"
src="https://github.com/python-pillow/Pillow/workflows/Test/badge.svg"></a>
<a href="https://github.com/python-pillow/Pillow/actions/workflows/test-windows.yml"><img
alt="GitHub Actions build status (Test Windows)"
src="https://github.com/python-pillow/Pillow/workflows/Test%20Windows/badge.svg"></a>
<a href="https://github.com/python-pillow/Pillow/actions/workflows/test-mingw.yml"><img
alt="GitHub Actions build status (Test MinGW)"
src="https://github.com/python-pillow/Pillow/workflows/Test%20MinGW/badge.svg"></a>
<a href="https://github.com/python-pillow/Pillow/actions/workflows/test-cygwin.yml"><img
alt="GitHub Actions build status (Test Cygwin)"
src="https://github.com/python-pillow/Pillow/workflows/Test%20Cygwin/badge.svg"></a>
<a href="https://github.com/python-pillow/Pillow/actions/workflows/test-docker.yml"><img
alt="GitHub Actions build status (Test Docker)"
src="https://github.com/python-pillow/Pillow/workflows/Test%20Docker/badge.svg"></a>
<a href="https://ci.appveyor.com/project/python-pillow/Pillow"><img
alt="AppVeyor CI build status (Windows)"
src="https://img.shields.io/appveyor/build/python-pillow/Pillow/main.svg?label=Windows%20build"></a>
<a href="https://github.com/python-pillow/Pillow/actions/workflows/wheels.yml"><img
alt="GitHub Actions build status (Wheels)"
src="https://github.com/python-pillow/Pillow/workflows/Wheels/badge.svg"></a>
<a href="https://app.travis-ci.com/github/python-pillow/Pillow"><img
alt="Travis CI wheels build status (aarch64)"
src="https://img.shields.io/travis/com/python-pillow/Pillow/main.svg?label=aarch64%20wheels"></a>
<a href="https://app.codecov.io/gh/python-pillow/Pillow"><img
alt="Code coverage"
src="https://codecov.io/gh/python-pillow/Pillow/branch/main/graph/badge.svg"></a>
<a href="https://bugs.chromium.org/p/oss-fuzz/issues/list?sort=-opened&can=1&q=proj:pillow"><img
alt="Fuzzing Status"
src="https://oss-fuzz-build-logs.storage.googleapis.com/badges/pillow.svg"></a>
</td>
</tr>
<tr>
<th>package</th>
<td>
<a href="https://zenodo.org/badge/latestdoi/17549/python-pillow/Pillow"><img
alt="Zenodo"
src="https://zenodo.org/badge/17549/python-pillow/Pillow.svg"></a>
<a href="https://tidelift.com/subscription/pkg/pypi-pillow?utm_source=pypi-pillow&utm_medium=badge"><img
alt="Tidelift"
src="https://tidelift.com/badges/package/pypi/Pillow?style=flat"></a>
<a href="https://pypi.org/project/Pillow/"><img
alt="Newest PyPI version"
src="https://img.shields.io/pypi/v/pillow.svg"></a>
<a href="https://pypi.org/project/Pillow/"><img
alt="Number of PyPI downloads"
src="https://img.shields.io/pypi/dm/pillow.svg"></a>
<a href="https://www.bestpractices.dev/projects/6331"><img
alt="OpenSSF Best Practices"
src="https://www.bestpractices.dev/projects/6331/badge"></a>
</td>
</tr>
<tr>
<th>social</th>
<td>
<a href="https://gitter.im/python-pillow/Pillow?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge"><img
alt="Join the chat at https://gitter.im/python-pillow/Pillow"
src="https://badges.gitter.im/python-pillow/Pillow.svg"></a>
<a href="https://twitter.com/PythonPillow"><img
alt="Follow on https://twitter.com/PythonPillow"
src="https://img.shields.io/badge/tweet-on%20Twitter-00aced.svg"></a>
<a href="https://fosstodon.org/@pillow"><img
alt="Follow on https://fosstodon.org/@pillow"
src="https://img.shields.io/badge/publish-on%20Mastodon-595aff.svg"
rel="me"></a>
</td>
</tr>
</table>
## Overview
The Python Imaging Library adds image processing capabilities to your Python interpreter.
This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities.
The core image library is designed for fast access to data stored in a few basic pixel formats. It should provide a solid foundation for a general image processing tool.
## More Information
- [Documentation](https://pillow.readthedocs.io/)
- [Installation](https://pillow.readthedocs.io/en/latest/installation.html)
- [Handbook](https://pillow.readthedocs.io/en/latest/handbook/index.html)
- [Contribute](https://github.com/python-pillow/Pillow/blob/main/.github/CONTRIBUTING.md)
- [Issues](https://github.com/python-pillow/Pillow/issues)
- [Pull requests](https://github.com/python-pillow/Pillow/pulls)
- [Release notes](https://pillow.readthedocs.io/en/stable/releasenotes/index.html)
- [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst)
- [Pre-fork](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst#pre-fork)
## Report a Vulnerability
To report a security vulnerability, please follow the procedure described in the [Tidelift security policy](https://tidelift.com/docs/security).
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