Squidpy
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Overview
HEALTH SCORE
Healthy
80out of 100
Solid maintainer coverage and development cadence. Security posture keeps the score from reaching Excellent.
LIFECYCLE
Declining
Maintainer activity has dropped significantly over the past six months. Only 9 active maintainers remain. Issue response times are now averaging 10 days.
Health breakdown
Healthy(80/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 10 days.
Bus factor
9 active maintainers currently have merge rights.
Organization Diversity
Contributors span 26 organizations.
Project Achievements
Leaderboards
About
Squidpy is a Python library for spatial analysis and visualization of single-cell and spatial omics data. It provides tools for analyzing spatial transcriptomics, imaging, and other spatially-resolved biological data, with integrated support for image analysis, neighborhood analysis, and interactive visualization.
First commit
Software value
$986K
Tags
data-visualization
image-analysis
single-cell-genomics
single-cell-rna-seq
spatial-analysis
spatial-transcriptomics
squidpy
License(s)
BSD-3-Clause
Data sources
Git
GitHub