Have fun tracking your project's stargazers.

I saw this post at Codementor by Ionică Bizău which lead me to his project, so I decided to create something cool of my own.

Python

• BeautifulSoup & GitHub's API to get user data.
• Geocoder to get country from location.

Javascript

• Datamaps and d3.js to build the map.

• Step 1

  Run the following command replacing the url with your own.

  python3 main.py https://github.com/kivy/plyer 3 0 1
  

  Arguments:

  • url: URL of the project/ Repo who's stargazers you want to track. e.g: http://github.com/kivy/plyer

  • number_of_threads (+ve integer): Number of python threads you want to run. It will divide the entire users list into smaller lists equal to number_of_threads and create a new thread for each.

    python3 main.py http://github.com/kivy/plyer 3
    

    example:

    l = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
    print (chunk_stargazers(l, 3))
    print (chunk_stargazers(l, 2))
    

    output

    [[1, 2, 3], [4, 5, 6], [7, 8, 9, 10]]
    [[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]]
    

  While parallel CPU computation is not possible, parallel IO operations are possible using threads in Python. This is because performing IO operations releases the GIL. In network IO, most of the time is spent waiting for the response from the URL, so this is a use case where using threads improves performance, so why not use them? :D

  • use_api (Binary): Choose whether you want to use the GitHub's user API to get the user data or use the scraper. To use the api enter 1 else 0

  python3 main.py http://github.com/kivy/plyer 3 0
  

  • read_from_stargazers_json (Binary): If there is a stargazers.json file aleady present with list of users you want to plot then you can skip scraping of users from the project's stargazer's page e.g http://github.com/kivy/plyer/stargazers?page=2 by setting the value of this argument to 1.

  python3 main.py http://github.com/kivy/plyer 3 0 1
  

• Step 2

  python3 merge_data.py 2

  Arguments:

  • number_of_files: Let this number be equal to number_of_threads since each thread create a new json file.

  jsons/
      data_0.json
      data_1.json
  

  so the command should be

  python3 merge_data.py 2

  This command will merge all the json files and generate a new stargazers.js in the data/ directory. stargazers.js file will later be used as data source when plotting the map.

Open the Browser with index.html and get surprised.

I would love that, please create an issue or send a PR.