kelly-sovacool / lang-stats

Collect & plot personal programming language statistics from GitHub repos

lang-stats

Collect personal programming language statistics from GitHub repos using PyGithub.

This project is now archived and the functionality has been merged into my meta-repository.

Usage

1. Clone this repo.

   git clone https://github.com/kelly-sovacool/lang-stats
   

2. Create a file credentials.yaml with your github login info:

   login: your_login
   password: your_password
   

   Warning: do not add the credentials file to git. Be careful not to accidentally share it with anyone.

3. Install dependencies:

   conda env create -n lang-stats -f environment.simple.yaml
   conda activate lang-stats
   

4. Create plots of your programming languages from your github repos:

   ./langstats.py
   

   They will be located in figures/.

   

   

Notes

Jupyter is way over-represented because .ipynb files are JSON with lots of metadata.

• It'd be cool to parse out the code chunks and only let code count towards the byte count.
• Does linguist count comments in regular text files (e.g. .py or .R) towards the code byte count?
• Try counting bytes in regular .py files to make sure my method matches that of linguist, then apply it to Jupyter code chunks stripped of metadata.