01Analyzes spatial transcriptomics data using natural language conversation via LLM agents
02Eliminates the need for manual coding, data conversion, and complex programming
03Generates publication-ready outputs and visualizations instantly
04Supports diverse spatial data formats including 10x Genomics Visium, Xenium, MERFISH, and H5AD
052 GitHub stars
06Integrates 60+ state-of-the-art methods from fragmented Python and R ecosystems