This simple tool aims on open-source projects providing simple repository stats which are a bit out of scope of base Git and need some more information about issues and PRs.

• cumulative caching (no need to full download, just incremental/needed update)
• collection of overall user contributions to issues/PRs
• visualization of aggregated timeline of past contributions

Simple install with setuptools/pip as

pip install https://github.com/Borda/pyRepoStats/archive/main.zip

or after cloning the repository

python setup.py install

Let's show how to pull data from Github repository, use of the following calls

• if you just clone this repo without installation, you need to install dependencies and call script

  pip install -r requirements.txt
  python src/repo_stats/__main__.py -gh PyTorchLightning/pytorch-lightning-bolts

• if you have already installed the package with pip or with setup.py you can call executable

  repostat -gh PyTorchLightning/pytorch-lightning-bolts -t <your-personal-token>

  or package with a pythonic way

  python -m repo_stats -gh PyTorchLightning/pytorch-lightning-bolts

  just note that with this way usage should also consider passing -o argument for output path, otherwise all caches and results will be saved in installation folder, most likely site-packages

To simplify the token passing in each call, you can export the token to environment variables export GH_API_TOKEN=<your-personal-token> for Github.

For GitHub users we recommend using your personal GitHub token which significantly increases request limit per hour.

The calls above just pull the data, to get/show some results check available options python -m repo_stats.cli --help

• To see following summary table use --users_summary "merged PRs" "commented PRs" "opened issues" "commented issues" where the fist column is used for sorting rows with users:

  user	merged PRs	commented PRs	opened issues	commented issues
  williamFalcon	74	21	14	8
  Borda	42	35	4	18
  akihironitta	17	1	5	5
  ananyahjha93	14	2	6	21
  annikabrundyn	12	0	0	2
  djbyrne	11	2	4	4
  nateraw	9	1	6	8
  teddykoker	3	2	0	0

• With --min_contribution N you can a simple filter what is the minimal number of contribution to show users in Table or Figures.

• You can also define a time frame with --date_from and --date_to for filtering events - created issues, merged PRs and comments/reviews.

• We also offer showing some contribution aggregation over time such as Day/Week/Month/Year, to do you use option --user_comments W which draw following double chart: (a) cumulative aggregation over all users and (b) heatmap like image with time in Y and user in X axis. Moreover, you can also specify type such as issue or PR; so with --user_comments W issue pr you can simply get two figures - one with weekly aggregation for issue and another for PRs. The very same way you can specify multiple time sampling --user_comments W M for weekly and monthly aggregations.

  

To deny showing figures set environment variable export SHOW_FIGURES=0.

Any help or suggestions are welcome, pls use Issues :]