MRRArt Pro
DevHunt
GitHub City
DevGhost.pro
GitHub Visualizer
Quine
Mr. Free Tools
Optimize Your Open Source Project with Deep Insights

CodersRank
GitHub City
GitWrapped
GitHub Profile Roast 🔥🔥🔥
Contributions for GitHub
GitHub Contributions
GitPrime
Customize your profile with various plugins and metrics

Which is more popular?
Based on our record, GitHub Metrics seems to be more popular. It has been mentioned 9 times since March 2021.
Website, pricing, platforms and company facts side by side.
|
OS
OpenSauced
|
|
|
|---|---|---|
| Website | opensauced.pizza | github.com |
| Listed in |
What each product offers, as listed by its team.

No features have been listed yet.
Possible disadvantages
An editorial look at what each product does well and who it suits.

Overall verdict
Why this product is good
Recommended for
No analysis of GitHub Metrics yet.
How often each product is chosen within a category, 0–100% relative to the other.

Share your experience with using OpenSauced and GitHub Metrics. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

Tracking OpenSauced since Oct 2023.
This tutorial shows you how to create a fully automated GitHub profile README using GitHub Metrics with custom SVGs and GitHub Actions. - Source: dev.to / over 1 year ago
Metrics this will generate a detailed stats infographic based on your GitHub Profile. - Source: dev.to / over 2 years ago
Another GitHub profile using lowlighter/metrics with a slightly different setup. - Source: dev.to / about 3 years ago
When comparing OpenSauced and GitHub Metrics, you can also consider the following products.

Create beautiful text charts (ascii) from your data
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The Ultimate Profile For Developers | Turn Your Code Into Your Digital Developer Profile & Get Hired Faster
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Dev Hunt – The best new Dev Tools every day.
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GitHub Ctiy uses ThreeJS to create a 3D city from your GitHub contributions.
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View/Share how you contributed to Github over the years
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Developer productivity and engineering analytics from Git changes. Estimate development effort against a consistent baseline, compare developer, team and contractor contributions, and track trends. Cloud, local and on-premises deployment options.
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