"Creating a Go Score for Module Discovery"
summary
A practical algorithm gets built, weighted around downloads, forks, stars and quality checks like README, license, contributors and active maintenance defined by recent commits or pull requests; it scores 50,000 modules and finds 66% fail basic quality checks while high-download modules (>500 downloads) show active maintenance; an open YAML lets others adjust weights, plans include surfacing an overall Go Module Score (letter or stars) and integrating J frog x-ray vulnerability scans into discovery.
AI-written summary · about
related talks
28mFinding Dependable Go Packages
24m"Finding Dependable Go Packages"
26mFinding Dependable Go Packages
21mVulnerability Management for Go
51mKeynote | State of the Go Nation
07mSecurity of Go Modules and Vulnerability Scanning in GoCenter
38mUsing Go Modules in everyday life
33mHow to Safely and Efficiently Build your App with Modules
