Get instant security insights for GitHub repositories using OpenSSF Scorecard metrics. Analyze code review practices, maintenance status, security policies, and more before integrating dependencies into your projects.
Know before you clone with instant GitHub security insights
Get instant security insights for GitHub repositories using OpenSSF Scorecard metrics. Analyze code review practices, maintenance status, security policies, and more before integrating dependencies into your projects.
RepoSecGo scans GitHub repos before they land on your machine š”ļøš Instant security insights = safer cloning and smarter dev decisions.
Hey Product Hunt community! š I'm excited to share RepoSecGo with you today - a tool that helps developers "Know Before You Clone" by providing instant security insights for GitHub repositories. Developers often integrate open-source dependencies without knowing their security posture, leading to vulnerabilities in production systems. RepoSecGo analyzes repositories using OpenSSF Scorecard metrics, providing instant insights on: - Code review practices - Maintenance status - Security policies -
This tool is a must-have for developers concerned about security! By providing instant insights for GitHub repositories using OpenSSF Scorecard metrics, it helps you analyze code review practices, maintenance status, security policies, and more before integrating dependencies. Iām excited to see how it ensures safer and more secure project development by allowing developers to make informed decisions about their dependencies!
Hey! Im testing it. but im only getting this: Unable to Fetch Scorecard 404: {"error":"Repository not found or not yet analyzed by OpenSSF Scorecard"}
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.