Squidpy - Spatial Single Cell Analysis in Python
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.
Visit our documentation for installation, tutorials, examples and more.
Manuscript
Please see our preprint on bioRxiv to learn more.
Squidpy’s key applications
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.
1 maintainer
Metadata
1 maintainer
Release files for squidpy 1.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| squidpy-1.1.2.tar.gz | 133.3 kB | Without provenance | Details for squidpy-1.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| squidpy-1.1.2-py3-none-any.whl | Python 3 | none | any | Details for squidpy-1.1.2-py3-none-any.whl |
Total release size: 283.3 kB
Release files / squidpy-1.1.2.tar.gz
| Download URL | squidpy-1.1.2.tar.gz |
|---|---|
| Size | 133.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
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Release files / squidpy-1.1.2-py3-none-any.whl
| Download URL | squidpy-1.1.2-py3-none-any.whl |
|---|---|
| Size | 150.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.9.7
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Security for squidpy 1.1.2
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