Squidpy

Builds directly on Scanpy and AnnData, allowing users familiar with these tools to adopt Squidpy quickly with minimal setup, as stated in the README's emphasis on streamlined APIs.

Offers a wide range of spatial statistics like Moran's I and neighborhood enrichment, tailored for assays from Visium to Xenium, enabling detailed analysis of tissue sections.

Efficiently integrates high-resolution microscopy images using scikit-image, facilitating feature extraction and visualization alongside molecular data without excessive memory overhead.

Part of the scverse project with NumFOCUS sponsorship, ensuring ongoing development, maintenance, and community backing, as highlighted in the README's governance section.