Mandatory
Name of the tool: SC2Spa

Short description: SC2Spa is a deep learning-based tool to predict the spatial coordinates of single cells.

How does the package use scverse data structures (please describe in a few sentences):  scanpy and anndata are used for preprocessing for SC2Spa. SquidPy is used to calculate Moran's I in the downstream analysis of SC2Spa.

 The code is publicly available under an OSI-approved license
Yes, SC2Spa is under BSD 3-Clause license

 The package provides versioned releases
Yes

The package can be installed from a standard registry (e.g. PyPI, conda-forge, bioconda)
Yes, SC2Spa can be installed from PyPI

 The package uses automated software tests and runs them via continuous integration (CI)
Yes

 The package provides API documentation via a website or README
Yes

 The package uses scverse datastructures where appropriate (i.e. AnnData, MuData or SpatialData and their modality-specific extensions)
Yes, SC2Spa uses AnnData, SCANPY and SquidPy

 I am the author or maintainer of the tool and agree on listing the package on the scverse website
Yes

Recommended
 I would like this package to be announced on scverse channels (zulip, discourse, twitter) [Include twitter handles you want us to tag]:
Yes, I would recommend these handles: SC2Spa, Spatial Inference, scRNA-seq, spatial transcriptomics, predict spatial coordinates, cell communication.

 The package provides tutorials (or "vignettes") that help getting users started quickly
Yes, SC2Spa provides readthedocs tutorials.

 The package uses the scverse cookiecutter template.
No, but I will consider adding this feature in the future

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