scvi-tools
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Overview
HEALTH SCORE
Excellent
93out of 100
Strong maintainer coverage and development cadence. Security posture is the only remaining gap.
LIFECYCLE
Stable
Mature and deliberately low-activity. The maintainer is reachable and there are no open issues or vulnerabilities that require attention.
Health breakdown
Excellent(93/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 1 day.
Bus factor
7 active maintainers currently have merge rights.
Organization Diversity
Contributors span 41 organizations.
Project Achievements
Leaderboards
About
scvi-tools is a Python library for deep learning with single-cell omics data. It provides tools for analysis, integration, and interpretation of single-cell RNA-seq, ATAC-seq, and multimodal datasets using variational inference and neural network models.
First commit
Software value
$3.3M
Tags
cite-seq
deep-generative-model
deep-learning
human-cell-atlas
scrna-seq
scverse
single-cell-genomics
single-cell-rna-seq
variational-autoencoder
variational-bayes
License(s)
BSD-3-Clause
Data sources
Git
GitHub