Generate SVG (dark/light) images visualizing (private/public) GitHub repo statistics for profile/website.

Overview

GitHub Stats Visualization

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 contributed to - no server required.

GitStats Overview - LightGitStats Overview - DarkGitStats Languages - LightGitStats Languages - Dark

This is a modification of jstrieb/github-stats with many additional statistics, options and dark mode support

By default, statistical data for GitHub repositories an authenticated user either owns, has collaborative access to, or has otherwise contributed to are fetched from the GitHub API for visualization.

Forked repositories are excluded by default. However, there are many options provided for including or excluding any repository and more using: Statistics Options.

Regardless of which repositories are included, the generated All-time GitHub contributions given statistic will always represent all GitHub contributions by the user.

It seems that view and clone statistical data for repositories that an authenticated user neither owns nor has collaborative access to are not included in the generated statistics being visualized.

It also seems that statistics for contributions to GitHub repositories that an authenticated user neither owns nor has collaborative access to possibly only includes repositories that exist on GitHub before the contributions do. Contribution statistics for repositories uploaded to GitHub after the contributions are made, so long that the configured commit email is associated with the user's GitHub account, can be included in the statistic visualizations by manually including the repository using the MORE_REPOS secret option in Statistics Options.

Instructions

Click to view step-by-step instructions for generating your own GitHub statistics visualizations

Copy Repository

  1. Click the link to: Create your own copy of this repository for viewing your GitHub stats

    • Note: the first GitHub Actions workflow initiated at creation of the copied repository is expected to fail

Generate a New Personal Access Token

  1. Generate a personal access token by following these steps:
    1. If you are logged in, click this link to: generate a new token
    2. Name the token
    3. Select your preferred 'Expiration' date
    4. Select repo for 'Full control of private repositories'
    5. Select read:user to 'Read ALL user profile data'
    6. Click the 'Generate token' button
    7. Copy the generated token - there is only one opportunity provided for this

Create ACCESS_TOKEN Secret

  1. Create a repository secret for the personal access token by following these steps:
    1. If this is your copy of the repository, click this link to: create a new secret
      • Otherwise, go to repository Settings, click the Secrets option, then click New repository secret
    2. Name the new secret: ACCESS_TOKEN
    3. Enter the generated personal access token as the 'Value'

Run GitHub Actions Workflow

  1. Manually generate GitHub statistics visualizations:
    1. This can be done using any of the following two GitHub Actions workflows:
      1. For the first time, or to reset stored statistics (although this is done with every push to master):

        This is required if the actions_branch branch is not created, as it is created when run

      2. Otherwise, for updating generated statistics visualizations (although this is automatically done daily):

        This requires the actions_branch branch to first be created with generated statistics visualizations

    2. With the GitHub Actions page open, click the 'Run workflow' dropdown menu button
    3. Select Branch: master from the 'Use workflow from' dropdown list
    4. Click the 'Run workflow' button

View Generated Statistics

  1. Following the successful completion of a workflow, generated statistics visualizations can be viewed:
    1. In the generated_images directory in the actions_branch branch with the following image links:
      1. Language statistics using @media prefers-color-scheme for dark and light mode - not tested
      2. Language statistics in light mode only
      3. Language statistics in dark mode only
      4. Overview statistics using @media prefers-color-scheme for dark and light mode - not tested
      5. Overview statistics in light mode only
      6. Overview statistics in dark mode only

Display Generated Statistics

  1. To display the generated statistics, constant URLs can be used for images that are updated daily:
    1. For a GitHub profile README.md, attach #gh-light-mode-only and #gh-dark-mode-only to light and dark raw image links, respectively, such as:
      1. For generated language statistics visualizations (replacing with your GitHub username):
      ![](https://raw.githubusercontent.com/
              /GitStats/actions_branch/generated_images/languagesLightMode.svg
              #gh-light-mode-only)![](https://raw.githubusercontent.com/
              
               /GitStats/actions_branch/generated_images/languagesDarkMode.svg
               #gh-dark-mode-only)
              
             
      1. For generated overview statistic visualizations (replacing with your GitHub username):
      ![](https://raw.githubusercontent.com/
              /GitStats/actions_branch/generated_images/overviewLightMode.svg
              #gh-light-mode-only)![](https://raw.githubusercontent.com/
              
               /GitStats/actions_branch/generated_images/overviewDarkMode.svg
               #gh-dark-mode-only)
              
             
    2. For websites, use the raw image URLs for any suitable image from the above View Generated Statistics links.

      Note: I have not used the images on any website other than the following GitHub pages:

      https://r055a.github.io/profile/statistics/

      https://r055a.github.io/university-projects/statistics/

Statistics Options

Click to view Repository Secrets for customizing GitHub statistic visualizations
  • Secret Name: EXCLUDED
    • for excluding listed repositories from being included in the generated statistic visualizations
    • enter Value in the following format (separated by commas):
      • [owner/repo],[owner/repo],...,[owner/repo]
    • example:
      • jstrieb/github-stats,rahul-jha98/github-stats-transparent,idiotWu/stats
  • Secret Name: ONLY_INCLUDED
    • for ONLY including listed repositories in the generated statistic visualizations
    • enter Value in the following format (separated by commas):
      • [owner/repo],[owner/repo],...,[owner/repo]
    • example:
      • R055A/GitStats,R055A/R055A
  • Secret Name EXCLUDED_LANGS
    • for excluding listed languages from being included in the generated statistic visualizations
    • enter Value in the following format (separated by commas):
      • [language],[language],...,[language]
    • example:
      • HTML,Jupyter Notebook,Makefile,Dockerfile
  • Secret Name INCLUDE_FORKED_REPOS
    • for including forked repositories in the generated statistic visualizations
      • false by default
    • enter Value in the following format:
    • examples:
      • true
  • Secret Name EXCLUDE_CONTRIB_REPOS
    • for excluding repositories (pull request) contributed to in the generated statistic visualizations
      • false by default
    • enter Value in the following format:
    • examples:
      • true
  • Secret Name EXCLUDE_ARCHIVE_REPOS
    • for excluding archived repositories in the generated statistic visualizations
      • false by default
    • enter Value in the following format:
    • examples:
      • true
  • Secret Name EXCLUDE_PRIVATE_REPOS
    • for excluding private repositories in the generated statistic visualizations
      • false by default
    • enter Value in the following format:
    • examples:
      • true
  • Secret Name EXCLUDE_PUBLIC_REPOS
    • for excluding public repositories in the generated statistic visualizations
      • false by default
    • enter Value in the following format:
    • examples:
      • true
  • Secret Name MORE_REPOS
    • for including repositories that are otherwise not included in the generated statistic visualizations
      • such as imported repositories with contributions
    • enter Value in the following format (separated by commas):
      • [owner/repo],[owner/repo],...,[owner/repo]
    • example:
      • R055A/GitStats,R055A/R055A
  • Secret Name MORE_COLLABS
    • for adding a constant value to the generated repository collaborators statistic
      • such as for collaborators that are otherwise not represented
    • enter Value in the following format:
    • example:
      • 4
  • Secret Name STORE_REPO_CLONES
    • for storing generated repository clone statistic visualization data beyond the 14 day-limit GitHub API allows
      • true by default
    • enter Value in the following format:
    • examples:
      • false
  • Secret Name STORE_REPO_VIEWS
    • for storing generated repository view statistic visualization data beyond the 14 day-limit GitHub API allows
      • true by default
    • enter Value in the following format:
    • examples:
      • false
  • Secret Name REPO_VIEWS
    • for adding a constant value to the generated repository view statistics
      • such as for when the stored data is reset or when importing stat data from elsewhere
      • requires being removed within 14 days after the first workflow is run (with LAST_VIEWED)
      • requires corresponding LAST_VIEWED and FIRST_VIEWED Secrets
    • enter Value in the following format:
    • example:
      • 5000
  • Secret Name LAST_VIEWED
    • for updating the date the generated repository view statistics data is added to storage from
      • such as for when the stored data is reset or when importing stat data from elsewhere
      • requires being removed within 14 days after the first workflow is run (with REPO_VIEWS)
      • may require corresponding REPO_VIEWS and FIRST_VIEWED Secrets
    • enter Value in the following format:
      • YYYY-MM-DD
    • example:
      • 2020-10-01
  • Secret Name FIRST_VIEWED
    • for updating the 'as of' date the generated repository view statistics data is stored from
      • such as for when the stored data is reset or when importing stat data from elsewhere
      • may require corresponding REPO_VIEWS and LAST_VIEWED Secrets
    • enter Value in the following format:
      • YYYY-MM-DD
    • example:
      • 2021-03-31
  • Secret Name REPO_CLONES
    • for adding a constant value to the generated repository clone statistics
      • such as for when the stored data is reset or when importing stat data from elsewhere
      • requires being removed within 14 days after the first workflow is run (with LAST_CLONED)
      • requires corresponding LAST_CLONED and FIRST_CLONED Secrets
    • enter Value in the following format:
    • example:
      • 2500
  • Secret Name LAST_CLONED
    • for updating the date the generated repository clone statistics data is added to storage from
      • such as for when the stored data is reset or when importing stat data from elsewhere
      • requires being removed within 14 days after the first workflow is run (with REPO_CLONES)
      • may require corresponding REPO_CLONES and FIRST_CLONED Secrets
    • enter Value in the following format:
      • YYYY-MM-DD
    • example:
      • 2020-10-01
  • Secret Name FIRST_CLONED
    • for updating the 'as of' date the generated repository clone statistics data is stored from
      • such as for when the stored data is reset or when importing stat data from elsewhere
      • may require corresponding REPO_CLONES and LAST_CLONED Secrets
    • enter Value in the following format:
      • YYYY-MM-DD
    • example:
      • 2021-04-01

Support the Project

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

  • Star the repository (and follow me and/or jstrieb on GitHub for more)
  • Share and upvote on sites
  • Report any bugs, glitches, or errors that you find
  • Spare a donation to a worthy cause

Related Projects

cqMore is a CadQuery plugin based on CadQuery 2.1.

cqMore (under construction) cqMore is a CadQuery plugin based on CadQuery 2.1. Installation Please use conda to install CadQuery and its dependencies

Justin Lin 36 Dec 21, 2022
Python script for writing text on github contribution chart.

Github Contribution Drawer Python script for writing text on github contribution chart. Requirements Python 3.X Getting Started Create repository Put

Steven 0 May 27, 2022
649 Pokémon palettes as CSVs, with a Python lib to turn names/IDs into palettes, or MatPlotLib compatible ListedColormaps.

PokePalette 649 Pokémon, broken down into CSVs of their RGB colour palettes. Complete with a Python library to convert names or Pokédex IDs into eithe

11 Dec 05, 2022
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
Interactive plotting for Pandas using Vega-Lite

pdvega: Vega-Lite plotting for Pandas Dataframes pdvega is a library that allows you to quickly create interactive Vega-Lite plots from Pandas datafra

Altair 342 Oct 26, 2022
The windML framework provides an easy-to-use access to wind data sources within the Python world, building upon numpy, scipy, sklearn, and matplotlib. Renewable Wind Energy, Forecasting, Prediction

windml Build status : The importance of wind in smart grids with a large number of renewable energy resources is increasing. With the growing infrastr

Computational Intelligence Group 125 Dec 24, 2022
Create animated and pretty Pandas Dataframe or Pandas Series

Rich DataFrame Create animated and pretty Pandas Dataframe or Pandas Series, as shown below: Installation pip install rich-dataframe Usage Minimal exa

Khuyen Tran 92 Dec 26, 2022
Make sankey, alluvial and sankey bump plots in ggplot

The goal of ggsankey is to make beautiful sankey, alluvial and sankey bump plots in ggplot2

David Sjoberg 156 Jan 03, 2023
Bar Chart of the number of Senators from each party who are up for election in the next three General Elections

Congress-Analysis Bar Chart of the number of Senators from each party who are up for election in the next three General Elections This bar chart shows

11 Oct 26, 2021
Visualization Website by using Dash and Heroku

Visualization Website by using Dash and Heroku You can visit the website https://payroll-expense-analysis.herokuapp.com/ In this project, I am interes

YF Liu 1 Jan 14, 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
100 Days of Code The Complete Python Pro Bootcamp for 2022

100-Day-With-Python 100 Days of Code - The Complete Python Pro Bootcamp for 2022. In this course, I spend with python language over 100 days, and I up

Rajdip Das 8 Jun 22, 2022
VDLdraw - Batch plot the log files exported from VisualDL using Matplotlib

VDLdraw Batch plot the log files exported from VisualDL using Matplotlib. At pre

Yizhou Chen 5 Sep 26, 2022
Easily convert matplotlib plots from Python into interactive Leaflet web maps.

mplleaflet mplleaflet is a Python library that converts a matplotlib plot into a webpage containing a pannable, zoomable Leaflet map. It can also embe

Jacob Wasserman 502 Dec 28, 2022
A simple interpreted language for creating basic mathematical graphs.

graphr Introduction graphr is a small language written to create basic mathematical graphs. It is an interpreted language written in python and essent

2 Dec 26, 2021
在原神中使用围栏绘图

yuanshen_draw 在原神中使用围栏绘图 文件说明 toLines.py 将一张图片转换为对应的线条集合,视频可以按帧转换。 draw.py 在原神家园里绘制一张线条图。 draw_video.py 在原神家园里绘制视频(自动按帧摆放,截图(win)并回收) cat_to_video.py

14 Oct 08, 2022
visualize_ML is a python package made to visualize some of the steps involved while dealing with a Machine Learning problem

visualize_ML visualize_ML is a python package made to visualize some of the steps involved while dealing with a Machine Learning problem. It is build

Ayush Singh 164 Dec 12, 2022
Quickly and accurately render even the largest data.

Turn even the largest data into images, accurately Build Status Coverage Latest dev release Latest release Docs Support What is it? Datashader is a da

HoloViz 2.9k Dec 28, 2022
This repository contains a streaming Dataflow pipeline written in Python with Apache Beam, reading data from PubSub.

Sample streaming Dataflow pipeline written in Python This repository contains a streaming Dataflow pipeline written in Python with Apache Beam, readin

Israel Herraiz 9 Mar 18, 2022
This is a place where I'm playing around with pandas to analyze data in a csv/excel file.

pandas-csv-excel-analysis This is a place where I'm playing around with pandas to analyze data in a csv/excel file. 0-start A very simple cheat sheet

Chuqin 3 Oct 05, 2022