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Squidpy - Spatial Single Cell Analysis in Python

Project description

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Squidpy - Spatial Single Cell Analysis in Python

Squidpy logo

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.

Squidpy title figure

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.

Project details


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Files for squidpy, version 1.1.2
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Filename, size squidpy-1.1.2.tar.gz (133.3 kB) File type Source Python version None Upload date Hashes View

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