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
JoelImgu
JoelImgu
Leyna's Visualizing Data With Python

Leyna's Visualizing Data Below is information on the number of bilingual students in three school districts in Massachusetts. You will also find infor

11 Oct 28, 2021
Movie recommendation using RASA, TigerGraph

Demo run: The below video will highlight the runtime of this setup and some sample real-time conversations using the power of RASA + TigerGraph, Steps

Sudha Vijayakumar 3 Sep 10, 2022
Write python locally, execute SQL in your data warehouse

RasgoQL Write python locally, execute SQL in your data warehouse ≪ Read the Docs · Join Our Slack » RasgoQL is a Python package that enables you to ea

Rasgo 265 Nov 21, 2022
Generate graphs with NetworkX, natively visualize with D3.js and pywebview

webview_d3 This is some PoC code to render graphs created with NetworkX natively using D3.js and pywebview. The main benifit of this approac

byt3bl33d3r 68 Aug 18, 2022
Productivity Tools for Plotly + Pandas

Cufflinks This library binds the power of plotly with the flexibility of pandas for easy plotting. This library is available on https://github.com/san

Jorge Santos 2.7k Dec 30, 2022
Make visual music sheets for thatskygame (graphical representations of the Sky keyboard)

sky-python-music-sheet-maker This program lets you make visual music sheets for Sky: Children of the Light. It will ask you a few questions, and does

21 Aug 26, 2022
A script written in Python that generate output custom color (HEX or RGB input to x1b hexadecimal)

ColorShell ─ 1.5 Planned for v2: setup.sh for setup alias This script converts HEX and RGB code to x1b x1b is code for colorize outputs, works on ou

Riley 4 Oct 31, 2021
Interactive chemical viewer for 2D structures of small molecules

👀 mols2grid mols2grid is an interactive chemical viewer for 2D structures of small molecules, based on RDKit. ➡️ Try the demo notebook on Google Cola

Cédric Bouysset 154 Dec 26, 2022
Interactive Data Visualization in the browser, from Python

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords hi

Bokeh 17.1k Dec 31, 2022
This is a super simple visualization toolbox (script) for transformer attention visualization ✌

Trans_attention_vis This is a super simple visualization toolbox (script) for transformer attention visualization ✌ 1. How to prepare your attention m

Mingyu Wang 3 Jul 09, 2022
Application for viewing pokemon regional variants.

Pokemon Regional Variants Application Application for viewing pokemon regional variants. Run The Source Code Download Python https://www.python.org/do

Michael J Bailey 4 Oct 08, 2021
A napari plugin for visualising and interacting with electron cryotomograms.

napari-tomoslice A napari plugin for visualising and interacting with electron cryotomograms. Installation You can install napari-tomoslice via pip: p

3 Jan 03, 2023
A simple code for plotting figure, colorbar, and cropping with python

Python Plotting Tools This repository provides a python code to generate figures (e.g., curves and barcharts) that can be used in the paper to show th

Guanying Chen 134 Jan 02, 2023
Generate visualizations of GitHub user and repository statistics using GitHub Actions.

GitHub Stats Visualization Generate visualizations of GitHub user and repository statistics using GitHub Actions. This project is currently a work-in-

JoelImgu 3 Dec 14, 2022
A small script written in Python3 that generates a visual representation of the Mandelbrot set.

Mandelbrot Set Generator A small script written in Python3 that generates a visual representation of the Mandelbrot set. Abstract The colors in the ou

1 Dec 28, 2021
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
Simple and fast histogramming in Python accelerated with OpenMP.

pygram11 Simple and fast histogramming in Python accelerated with OpenMP with help from pybind11. pygram11 provides functions for very fast histogram

Doug Davis 28 Dec 14, 2022
Lime: Explaining the predictions of any machine learning classifier

lime This project is about explaining what machine learning classifiers (or models) are doing. At the moment, we support explaining individual predict

Marco Tulio Correia Ribeiro 10.3k Dec 29, 2022
termplotlib is a Python library for all your terminal plotting needs.

termplotlib termplotlib is a Python library for all your terminal plotting needs. It aims to work like matplotlib. Line plots For line plots, termplot

Nico Schlömer 553 Dec 30, 2022
Info for The Great DataTas plot-a-thon

The Great DataTas plot-a-thon Datatas is organising a Data Visualisation competition: The Great DataTas plot-a-thon We will be using Tidy Tuesday data

2 Nov 21, 2021