I just want to share this project about how you can dynamically generate a template of your Github contribution stats based on the Commits, Pull Requests, Issues and Code Reviews.
Sample generated template (some of our famous open source contributor 🏆):
The ratings scale are based on this Academic Grading In Japan I was fascinated with that ("S" rarely given 😂) and also we used some of the common formula in Statistic like (Mean, SD, Z-Score, etc.) to get the final scores based on the 4 data sets (Commits, Pull Requests, Issues and Code Reviews). If you want check the technical details of it you can visit this file ContributionRatings.js
Just copy paste this into your markdown content and replace the value of the ?username= URL parameter based on your Github Username.
Probably you will notice that the generated template has a message below the stats, we added this feature in order to preserve the origin of the project. If you want to remove this just make sure you give a star in the project and after a couple of minutes this will disappear, we need this minutes because we implemented a caching for each generated template.
Actually if you don't know Github released a feature Github README profile (they say a Secret Repository 😄). You can check this article on how it works How to add GitHub Profile README (new feature). And I think this project will give you additional content to include or show for your Github README Profile.
Yes! the project is open for any idea or suggestion just visit the repository Github Contribution Stats and don't forget to star the repository 😊 that will help a lot!
Edited July 21, 2020
Appreciated all the comments and suggestions ❤️. I never thought that this post will be active like this and all of you supported this.
There's still so much room for improvement since then many changes applied to enhance it further! thank you so much for the support! 🎉
- Special mention to:
Top comments (13)
It's disappointing to see that only commits are taken into account.
PR reviews and creating issues are vital contributions to projects.
I wouldn't know how to weigh them all together though.
Hello! thanks for the comment, really appreciated 😊. Actually yes, right now commits are only counted for the ratings and the other 3 vitals for contribution are not yet included (Issues, Code Review, Pull Requests). But yes I will include all of them now 😊
I am glad the score exists :). It would be an interesting statistical analysis on how to weight each of them differently.
Here's the interesting part if we just use the following common statistic formula (I also explained it here in another comment: dev.to/lorddashme/comment/129i9) then we can get the ratings for the 4 vital metrics for the contribution (Commits, Code Review, PR, Issues) and give each metrics a ratings multiplier for example for the Commits it's pretty common so I will give it a 0.8 and then the Code Review with a 2 so this mean the Code Review is much higher weight compare to Commits 😄
For the badge which includes PR and issues like this
You can do something like this.
This one is my project, github-readme-stats btw :)
anuraghazra / github-readme-stats
Dynamically generated stats for your github readmes
GitHub Readme Stats
Get dynamically generated GitHub stats on your readmes!
View Demo · Report Bug · Request Feature
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GitHub Stats Card
Copy paste this into your markdown content, and that's it. Simple!
?username=value to your GitHub's username.
Note: Ranks are calculated based on user's stats, see src/calculateRank.js
Hiding individual stats
To hide any specific stats, you can pass a query parameter
?hide=with an array of items you wanna hide.
To enable icons, you can pass
show_icons=truein the query param, like so:
With inbuilt themes you can customize the look of the card…
People don't usually know the origin because lot of people do not attribute the project.
Ohh my! Congrats you got the S score! 🎉 😄 HAHAHAHAHAHAHA
You just stole github-readme-stats by Anurag Hazra.
It's ok to get inspiration from projects, but don't completely rip them off man. Add in your own touch.
And to further what you did, don't hide the comments. You should credit the original idea which Anurag had.
In addition to this I would like to add the reference for Github README Profile generator which also includes this post.
Nice project, but I think the contribution results are not making much sense right now, I think it should be more focused on the overall contribution, how is the calculation done ?
Hello! thanks for the comment, appreciated 😄. For the ratings calculation we've used some of the common statistic formula to get the final result, for example getting the Mean of the 3 data sets (which in our case the This Year, This Month, and This Week), when you have the Mean you can use it together with the Standard Deviation (Basically I considered this as the threshold for the score) to calculate the Z-Score which will be the basis for the ratings 😄. For more technical details you can also check the ContributionRatings.js which holds all the information for the calculation 😄.
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