Have you ever wondered what your coding timeline really looks like beyond the standard green contribution squares on GitHub?
We all love seeing those green squares light up, but sometimes they don't tell the whole story. They don't tell you which languages dominate your repos, how your tech stack has evolved over the years, or which specific repositories earn the most stars.
I recently stumbled upon a tool that turns your GitHub profile into a beautiful visual report, and I had to share it.
🚀 Meet "Profile Summary for GitHub"
It is an open-source tool that analyzes your public repositories and generates a comprehensive dashboard of your coding habits.
Instead of just counting commits, it breaks down your profile into actionable insights.
🔗 Check it out here: profile-summary-for-github.com
✨ Key Features
Here is why I think this tool stands out:
- Language Breakdown: It doesn't just show your top language; it visualizes the ratio of every language you use across all repositories.
- Repository Insights: You can see which repos have the most stars and forks in a clean bar chart.
- Timeline Analysis: It shows a "Commits per Repository" chart over time, which is great for seeing which projects you were obsessed with during specific years.
- No Sign-up Required: You just enter your GitHub username, and it generates the report instantly.
🧐 How to Use It
- Go to profile-summary-for-github.com.
- Enter your GitHub username.
- Analyze your charts!
You can also view your profile directly via this URL pattern:
https://profile-summary-for-github.com/user/YOUR_USERNAME
💡 Why It Matters
As developers, we often forget how much we've learned or how our interests have shifted. Seeing a visual representation of your move from, say, Java to Python, or seeing that side project you worked on for three months straight in 2021, is incredibly validating.
It is also a great link to include in your portfolio or resume to give recruiters a quick snapshot of your technical focus.
👇 Let's Connect!
Give it a try and let me know in the comments: What is your #1 most used language according to the tool?
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