pavi2410 / year-in-review-2023

GitHub Year In Review 2023 -- generated by ChatGPT

Home Page:https://pavi2410.github.io/year-in-review-2023/

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

GitHub Year in Review 2023 🎉

GitHub Year in Review 2023

Welcome to GitHub Year in Review! This simple web app allows you to view your GitHub activity for the year 2024 in a creative and fun way.

Features

  • Total Repositories: See the total number of repositories you have on GitHub.
  • Languages Used: Discover the variety of programming languages you utilized.
  • Most Used Language: Find out which programming language you used the most.
  • First Language Used: Check which programming language you used for the first time.
  • External Repos Contributed To: Know how many external repositories you contributed to.
  • Longest Streak (Days): Track your longest streak of GitHub activity.
  • Most Productive Time of the Day: Identify whether you are a morning person or a night coder.
  • Most Productive Day of the Week: Discover which day of the week you are most productive.
  • Most Productive Month/Season: Find out your most productive month or season.
  • Most Starred Repository: Highlighting your repository with the most stars.

Getting Started

  1. Enter your GitHub username.
  2. Explore your GitHub Year in Review stats for the year 2024!

Usage

  1. Open the web app.
  2. Enter your GitHub username.
  3. Enjoy the creative stats and insights about your GitHub activity for 2024.

How It Works

The web app utilizes the GitHub REST API to fetch data about your repositories. The data is then processed and presented in a visually appealing format.

Technologies Used

  • Vanilla JavaScript
  • Tailwind CSS

Credits

Contribute

If you have any ideas to improve this project or find any issues, feel free to contribute by submitting pull requests or opening issues.

About

GitHub Year In Review 2023 -- generated by ChatGPT

https://pavi2410.github.io/year-in-review-2023/


Languages

Language:JavaScript 77.8%Language:HTML 13.4%Language:CSS 8.8%