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Package Insights

Health scores, hidden gems, risk analysis, and community metrics

Rank	Package	Health	Downloads

Showing 1-20 of 0

Data from PyPI, GitHub, ClickHouse, and BigQuery
Part of kopdog.com

Package Insights Explained

Health Score

Overall package health from 0-100 based on maintenance activity, release frequency, community engagement, and documentation quality.

Unsung

High-download packages (100K-10M/month) with relatively few GitHub stars. Often well-maintained but underappreciated by the community.

Community Favorites

Packages with high GitHub stars relative to downloads (>5 stars per 1k downloads). Often CLI tools, GUI apps, or developer utilities. Only includes packages with a unique GitHub repo.

Rising

Packages with strong download momentum - week-over-week growth indicating increasing adoption.

At Risk

Popular packages with stale maintenance - high downloads but no recent commits or releases. May need community attention or alternatives.

Contributor Count Risk

Packages with few contributors relative to their popularity. High downloads with limited maintainers is a sustainability concern.

Rapid Releases

Packages with frequent releases (12+ per year). Often indicates active development and quick bug fixes.

Stalled Releases

Packages with infrequent releases (less than 1 per year). May be stable or may indicate declining maintenance.

High Issue Burden

Packages with many open issues relative to their popularity (issues per 1K stars). May indicate maintenance backlog.

Active Discussions

Packages with high discussion engagement relative to stars. Indicates active community and maintainer communication.