Repo-Ranger Introduction
Repo-Ranger is an AI-powered GitHub leaderboard that analyzes user activity and assigns scores based on various metrics.
View MoreWhat is Repo-Ranger
Repo-Ranger is a tool created to gamify and analyze GitHub activity. It provides an AI-powered leaderboard that evaluates users' GitHub contributions, followers, repositories, stars, and other metrics to generate an overall score. Users can compare their GitHub performance against others in a fun, competitive format. The project was created by @sotergreco and is open source, with code available on GitHub.
How does Repo-Ranger work?
Repo-Ranger works by analyzing several aspects of a user's GitHub profile and activity. It assigns point values to different actions and profile statistics: +1 point for each contribution, +3 points per follower, +2 points per repository, +2 points per star received, +1 point for each fork, +2 points per pull request, +1 point per issue, and +1 point per comment. It also subtracts 1 point for each person the user follows. The tool then calculates a total score based on these metrics. Users are ranked on a leaderboard, with the top 10 scorers receiving a star emoji. Based on their scores, users also receive either a clap or poo emoji as a playful rating of their GitHub activity.
Benefits of Repo-Ranger
Repo-Ranger offers several benefits for GitHub users and the developer community. It provides a fun, gamified way to track and compare GitHub activity, potentially motivating users to contribute more actively to open source projects. The scoring system can help developers understand which activities are most valued in the community. For recruiters or project maintainers, it offers a quick way to gauge a user's overall GitHub engagement. Additionally, as an open-source project itself, Repo-Ranger allows developers to learn from and contribute to its codebase, fostering collaboration and skill development.
Repo-Ranger Monthly Traffic Trends
Repo-Ranger received 1.0k visits last month, demonstrating a Significant Growth of 510.8%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history traffic
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