Metadata-Version: 2.1
Name: squidpy
Version: 1.1.1
Summary: Squidpy - Spatial Single Cell Analysis in Python
Home-page: https://github.com/theislab/squidpy
Author: Theislab
Author-email: giovanni.palla@helmholtz-muenchen.de, hannah.spitzer@helmholtz-muenchen.de
Maintainer: Theislab
Maintainer-email: giovanni.palla@helmholtz-muenchen.de, hannah.spitzer@helmholtz-muenchen.de
License: BSD
Download-URL: https://pypi.org/project/squidpy/
Project-URL: Documentation, https://squidpy.readthedocs.io/en/stable
Project-URL: Source Code, https://github.com/theislab/squidpy
Keywords: bio-informatics,image analysis,single-cell,spatial data analysis,spatial data analysis,spatial transcriptomics
Platform: Linux
Platform: MacOSX
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Typing :: Typed
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Environment :: Console
Classifier: Framework :: Jupyter
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Visualization
Description-Content-Type: text/x-rst; charset=UTF-8
License-File: LICENSE
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|PyPI| |Downloads| |CI| |Notebooks| |Docs| |Coverage|

Squidpy - Spatial Single Cell Analysis in Python
================================================

.. image:: https://raw.githubusercontent.com/theislab/squidpy/master/docs/source/_static/img/squidpy_horizontal.png
    :alt: Squidpy logo
    :width: 400px
    :align: center
    :target: https://squidpy.readthedocs.io/en/stable/

**Squidpy** is a tool for the analysis and visualization of spatial molecular data.
It builds on top of `scanpy`_ and `anndata`_, from which it inherits modularity and scalability.
It provides analysis tools that leverages the spatial coordinates of the data, as well as
tissue images if available.

.. image:: https://raw.githubusercontent.com/theislab/squidpy/master/docs/source/_static/img/figure1.png
    :alt: Squidpy title figure
    :width: 400px
    :align: center
    :target: https://www.biorxiv.org/content/10.1101/2021.02.19.431994v2

Visit our `documentation`_ for installation, tutorials, examples and more.

Manuscript
----------
Please see our `preprint`_ on **bioRxiv** to learn more.

Squidpy's key applications
--------------------------
- Build and analyze the neighborhood graph from spatial coordinates.
- Compute spatial statistics for cell-types and genes.
- Efficiently store, analyze and visualize large tissue images, leveraging `skimage`_.
- Explore `anndata`_ and the large tissue image in `napari`_.

Installation
------------
Install Squidpy via PyPI by running::

    pip install squidpy
    # or with napari included
    pip install 'squidpy[interactive]'

Contributing to Squidpy
-----------------------
We are happy about any contributions! Before you start, check out our `contributing guide <CONTRIBUTING.rst>`_.

.. |PyPI| image:: https://img.shields.io/pypi/v/squidpy.svg
    :target: https://img.shields.io/pypi/v/squidpy.svg
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    :alt: Notebooks CI

.. |Docs| image:: https://img.shields.io/readthedocs/squidpy
    :target: https://squidpy.readthedocs.io/en/stable/
    :alt: Documentation

.. |Coverage| image:: https://codecov.io/gh/theislab/squidpy/branch/dev/graph/badge.svg
    :target: https://codecov.io/gh/theislab/squidpy
    :alt: Coverage

.. |Downloads| image:: https://pepy.tech/badge/squidpy
    :target: https://pepy.tech/project/squidpy
    :alt: Downloads

.. _preprint: https://www.biorxiv.org/content/10.1101/2021.02.19.431994v2
.. _scanpy: https://scanpy.readthedocs.io/en/stable/
.. _anndata: https://anndata.readthedocs.io/en/stable/
.. _napari: https://napari.org/
.. _skimage: https://scikit-image.org/
.. _documentation: https://squidpy.readthedocs.io/en/stable/


