Readme Format Github



GitHub Flavored Markdown. GitHub.com uses its own version of the Markdown syntax that provides an additional set of useful features, many of which make it easier to work with content on GitHub.com. Note that some features of GitHub Flavored Markdown are only available in the descriptions and comments of Issues and Pull Requests. There are many great README templates available on GitHub, however, I didn't find one that really suit my needs so I created this enhanced one. I want to create a README template so amazing that it'll be the last one you ever need - I think this is it. Here's why: Your time should be focused on creating something amazing.

Last month, I shared how to create a Readme.md file for your GitHub profile. This little hack allows you to add more content to your GitHub profile. If you’re struggling to find additional content to place in your readme, consider adding additional GitHub statistics to your ReadMe. You can do that by using a pre-built statistic generator.

Using GitHub Readme Stats

This may be the first project to generate statistics for the ReadMe file. This project allows you to hit a URL to generate an image. You can show basic stats, weekly stats, or even the most common languages used within the repositories. You can also customize the look and feel using themes. I’m currently using this within my ReadMe file.

For my profile, it was as simple as adding this into my file:

Readme Format GithubGithub

Of course you’ll want to replace the username property with your own username. Here is what it looks like on my profile:

Readme Format Github

Using GitHub Stats

GitHub Stats is another repository that allows you to visualize statistics. This repository relies on GitHub Actions to do the work for you. In addition, this project shows the languages used by file size, the number of lines of code changed, and the repository views in the past two weeks. If you want to use this project, I recommend checking out the repo:

Github

Github Readme Syntax

I’ve forked the repository myself and executed the GitHub action to calculate accordingly. You can check out my fork here. Here is what was generated: