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๐Ÿš€ Level up your GitHub profile readme with customizable cards including LOC statistics!

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GitHub Trends

SPECIAL: GitHub Wrapped

Check out your GitHub Wrapped at githubwrapped.io!

github-wrapped


What is GitHub Trends

GitHub Trends dives deep into the GitHub API to bring you exciting and impactful metrics about your code contributions. Generate insights on lines written by language, repository, and time. Easily embed dynamic images into your GitHub profile to share your statistics with the world. Check out some of the examples below:

Quickstart

First, visit https://api.githubtrends.io/auth/signup/public and create an account with GitHub Trends. Then, paste this string into your Markdown content, substituting your username.

[![GitHub Trends SVG](https://api.githubtrends.io/user/svg/avgupta456/langs)](https://githubtrends.io)

And voila, you get a card like above. Keep reading to learn more!

Why GitHub Trends?

Unlike other projects which look at just your public repositories, GitHub Trends computes metrics based on your individual commits. If you commit to open-source projects, or have collaborators contribute to your own repositories, GitHub Trends will better measure your own code contributions. Through this method, GitHub Trends is the first project that allows users to surface lines of code written (LOC) by language and repository. Our web interface also allows for easier customization.

Usage

Website Workflow (Alpha)

Visit githubtrends.io to create an account and get started!

Have questions? Check out the demo!

image


API Workflow (Alpha)

Alternatively, you can communicate directly with the API to create and customize your cards. Read docs/API.md to learn more about the API and customizations.

FAQ

See docs/FAQ.md.

Contributing

See docs/CONTRIBUTING.md.

Acknowledgements

Much inspiration was taken from GitHub Readme Stats. If you haven't already, check it out and give it a star!

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๐Ÿš€ Level up your GitHub profile readme with customizable cards including LOC statistics!

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  • Python 55.7%
  • JavaScript 42.3%
  • HTML 1.8%
  • Other 0.2%