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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
De novo reconstruction of cell interaction landscapes from single-cell spatial transcriptome data
Multi-level Graph Autoencoder (GAE) to clarify cell cell interactions and gene regulatory network inference from spatially resolved transcriptomics
Implementation of multiplex Leiden for analysis of spatial omics data
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
Technology-invariant pipeline for spatial omics analysis that scales to millions of cells (Xenium / Visium HD / MERSCOPE / CosMx / PhenoCycler / MACSima / etc)
Documentation that simply works
Simple tool for clustering spatial points with categorical labels.
Fast, sensitive and accurate integration of single-cell data with Harmony
KeePassXC is a cross-platform community-driven port of the Windows application “KeePass Password Safe”.
rapids_singlecell: GPU-accelerated framework for scRNA analysis
https://sparrow-pipeline.readthedocs.io/en/latest/
A dependency-free large (+2500) collection of colormaps and palettes for Python 🎨
🔬 MCP server for AI-powered napari control. Connect Claude, ChatGPT, Cursor, and other LLMs to napari for interactive image analysis. Perfect for automating microscopy workflows and building intell…
🎼 Integrate multiple high-dimensional datasets with fuzzy k-means and locally linear adjustments.
SSAM (Spot-based Spatial cell-type Analysis by Multidimensional mRNA density estimation)