Hey DEV Community! 👋
I'm exploring an idea to help developers better understand GitHub projects through their issues data, and I'd love to get your thoughts.
The Problem
When evaluating an open source project, we often look through its issues to understand:
- How active is the maintenance?
- What problems do users face?
- How responsive are the maintainers?
Doing this manually for each project is time-consuming.
The Idea
A tool that automatically analyzes GitHub Issues and shows:
- Time Insights
- Peak hours/days when issues are reported
- Response time patterns
- Issue resolution trends
- User Behavior
- Common user problems
- Feature request patterns
- Bug report frequencies
- Project Health
- Active maintainer count
- Resolution rates
- Community engagement levels
Quick Demo
Here's what I got from analyzing FastGPT's issues:
[Screenshot of your analysis]
Questions for You
Would you use something like this when evaluating dependencies?
What metrics would be most valuable to you?
How do you currently assess project health?
Tech Stack (Planned)
- Python + Flask for backend
- React for frontend
- GitHub API for data
Let me know your thoughts! Any feedback would be super helpful before I dive deeper into building this.
Just whipped up an Issues analysis tool that gives you insights into project trends. Took me 1.5 hours, and I'd love some community input! Interested developers, feel free to check it out and contribute.
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