Generate visualizations of GitHub user and repository statistics using GitHub Actions.

Overview

GitHub Stats Visualization

Generate visualizations of GitHub user and repository statistics using GitHub Actions.

This project is currently a work-in-progress; there will always be more interesting stats to display.

Background

When someone views a profile on GitHub, it is often because they are curious about a user's open source projects and contributions. Unfortunately, that user's stars, forks, and pinned repositories do not necessarily reflect the contributions they make to private repositories. The data likewise does not present a complete picture of the user's total contributions beyond the current year.

This project aims to collect a variety of profile and repository statistics using the GitHub API. It then generates images that can be displayed in repository READMEs, or in a user's Profile README.

Since the project runs on GitHub Actions, no server is required to regularly regenerate the images with updated statistics. Likewise, since the user runs the analysis code themselves via GitHub Actions, they can use their GitHub access token to collect statistics on private repositories that an external service would be unable to access.

Disclaimer

If the project is used with an access token that has sufficient permissions to read private repositories, it may leak details about those repositories in error messages. For example, the aiohttp library—used for asynchronous API requests—may include the requested URL in exceptions, which can leak the name of private repositories. If there is an exception caused by aiohttp, this exception will be viewable in the Actions tab of the repository fork, and anyone may be able to see the name of one or more private repositories.

Due to some issues with the GitHub statistics API, there are some situations where it returns inaccurate results. Specifically, the repository view count statistics and total lines of code modified are probably somewhat inaccurate. Unexpectedly, these values will become more accurate over time as GitHub caches statistics for your repositories. Additionally, repositories that were last contributed to more than a year ago may not be included in the statistics due to limitations in the results returned by the API.

For more information on inaccuracies, see issue #2, #3, and #13.

Installation

  1. Create a personal access token (not the default GitHub Actions token) using the instructions here. Personal access token must have permissions: read:user and repo. Copy the access token when it is generated – if you lose it, you will have to regenerate the token.
    • Some users are reporting that it can take a few minutes for the personal access token to work. For more, see #30.
  2. Click here to create a copy of this repository. Note: this is not the same as forking a copy because it copies everything fresh, without the huge commit history.
  3. If this is the README of your fork, click this link to go to the "Secrets" page. Otherwise, go to the "Settings" tab of the newly-created repository and go to the "Secrets" page (bottom left).
  4. Create a new secret with the name ACCESS_TOKEN and paste the copied personal access token as the value.
  5. It is possible to change the type of statistics reported.
    • To ignore certain repos, add them (in owner/name format e.g., jstrieb/github-stats) separated by commas to a new secret—created as before—called EXCLUDED.
    • To ignore certain languages, add them (separated by commas) to a new secret called EXCLUDED_LANGS.
    • To show statistics only for "owned" repositories and not forks with contributions, add an environment variable (under the env header in the main workflow) called EXCLUDE_FORKED_REPOS with a value of true.
  6. Go to the Actions Page and press "Run Workflow" on the right side of the screen to generate images for the first time. The images will be periodically generated every hour, but they can be manually regenerated by manually running the workflow.
  7. Check out the images that have been created in the generated folder.
  8. To add your statistics to your GitHub Profile README, copy and paste the following lines of code into your markdown content. Change the username value to your GitHub username.
    ![](https://github.com/username/github-stats/blob/master/generated/overview.svg)
    ![](https://github.com/username/github-stats/blob/master/generated/languages.svg)
  9. Link back to this repository so that others can generate their own statistics images.
  10. Star this repo if you like it!

Support the Project

There are a few things you can do to support the project:

  • Star the repository (and follow me on GitHub for more)
  • Share and upvote on sites like Twitter, Reddit, and Hacker News
  • Report any bugs, glitches, or errors that you find

These things motivate me to to keep sharing what I build, and they provide validation that my work is appreciated! They also help me improve the project. Thanks in advance!

If you are insistent on spending money to show your support, I encourage you to instead make a generous donation to one of the following organizations. By advocating for Internet freedoms, organizations like these help me to feel comfortable releasing work publicly on the Web.

Related Projects

Owner
Aditya Thakekar
Electronics engineer turned consultant with over 7 years of experience.
Aditya Thakekar
The Timescale NFT Starter Kit is a step-by-step guide to get up and running with collecting, storing, analyzing and visualizing NFT data from OpenSea, using PostgreSQL and TimescaleDB.

Timescale NFT Starter Kit The Timescale NFT Starter Kit is a step-by-step guide to get up and running with collecting, storing, analyzing and visualiz

Timescale 102 Dec 24, 2022
3D rendered visualization of the austrian monuments registry

Visualization of the Austrian Monuments Visualization of the monument landscape of the austrian monuments registry (Bundesdenkmalamt Denkmalverzeichni

Nikolai Janakiev 3 Oct 24, 2019
Generate SVG (dark/light) images visualizing (private/public) GitHub repo statistics for profile/website.

Generate daily updated visualizations of GitHub user and repository statistics from the GitHub API using GitHub Actions for any combination of private and public repositories, whether owned or contri

Adam Ross 2 Dec 16, 2022
A simple project on Data Visualization for CSCI-40 course.

Simple-Data-Visualization A simple project on Data Visualization for CSCI-40 course - the instructions can be found here SAT results in New York in 20

Hugo Matousek 8 Oct 27, 2021
plotly scatterplots which show molecule images on hover!

molplotly Plotly scatterplots which show molecule images on hovering over the datapoints! Required packages: pandas rdkit jupyter_dash ➡️ See example.

150 Dec 28, 2022
Plot-configurations for scientific publications, purely based on matplotlib

TUEplots Plot-configurations for scientific publications, purely based on matplotlib. Usage Please have a look at the examples in the example/ directo

Nicholas Krämer 487 Jan 08, 2023
A visualization tool made in Pygame for various pathfinding algorithms.

Pathfinding-Visualizer 🚀 A visualization tool made in Pygame for various pathfinding algorithms. Pathfinding is closely related to the shortest path

Aysha sana 7 Jul 09, 2022
Minimal Ethereum fee data viewer for the terminal, contained in a single python script.

Minimal Ethereum fee data viewer for the terminal, contained in a single python script. Connects to your node and displays some metrics in real-time.

48 Dec 05, 2022
A python wrapper for creating and viewing effects for Matt Parker's christmas tree.

Christmas Tree Visualizer A python wrapper for creating and viewing effects for Matt Parker's christmas tree. Displays py or csv effect files and allo

4 Nov 22, 2022
Python & Julia port of codes in excellent R books

X4DS This repo is a collection of Python & Julia port of codes in the following excellent R books: An Introduction to Statistical Learning (ISLR) Stat

Gitony 5 Jun 21, 2022
Python ts2vg package provides high-performance algorithm implementations to build visibility graphs from time series data.

ts2vg: Time series to visibility graphs The Python ts2vg package provides high-performance algorithm implementations to build visibility graphs from t

Carlos Bergillos 26 Dec 17, 2022
Sprint planner considering JIRA issues and google calendar meetings schedule.

Sprint planner Sprint planner is a Python script for planning your Jira tasks based on your calendar availability. Installation Use the package manage

Apptension 2 Dec 05, 2021
阴阳师后台全平台(使用网易 MuMu 模拟器)辅助。支持御魂,觉醒,御灵,结界突破,秘闻副本,地域鬼王。

阴阳师后台全平台辅助 Python 版本:Python 3.8.3 模拟器:网易 MuMu | 雷电模拟器 模拟器分辨率:1024*576 显卡渲染模式:兼容(OpenGL) 兼容 Windows 系统和 MacOS 系统 思路: 利用 adb 截图后,使用 opencv 找图找色,模拟点击。使用

简讯 27 Jul 09, 2022
Python Package for CanvasXpress JS Visualization Tools

CanvasXpress Python Library About CanvasXpress for Python CanvasXpress was developed as the core visualization component for bioinformatics and system

Dr. Todd C. Brett 5 Nov 07, 2022
Painlessly create beautiful matplotlib plots.

Announcement Thank you to everyone who has used prettyplotlib and made it what it is today! Unfortunately, I no longer have the bandwidth to maintain

Olga Botvinnik 1.6k Jan 06, 2023
Exploratory analysis and data visualization of aircraft accidents and incidents in Brazil.

Exploring aircraft accidents in Brazil Occurrencies with aircraft in Brazil are investigated by the Center for Investigation and Prevention of Aircraf

Augusto Herrmann 5 Dec 14, 2021
Package managers visualization

Software Galaxies This repository combines visualizations of major software package managers. All visualizations are available here: http://anvaka.git

Andrei Kashcha 1.4k Dec 22, 2022
An adaptable Snakemake workflow which uses GATKs best practice recommendations to perform germline mutation calling starting with BAM files

Germline Mutation Calling This Snakemake workflow follows the GATK best-practice recommandations to call small germline variants. The pipeline require

12 Dec 24, 2022
Library for exploring and validating machine learning data

TensorFlow Data Validation TensorFlow Data Validation (TFDV) is a library for exploring and validating machine learning data. It is designed to be hig

688 Jan 03, 2023
A collection of 100 Deep Learning images and visualizations

A collection of Deep Learning images and visualizations. The project has been developed by the AI Summer team and currently contains almost 100 images.

AI Summer 65 Sep 12, 2022