git-truckfactor 0.1.1

Calculate code contribution metrics for git repositories

Git-truckfactor

Git-truckfactor is a library that assits in the analysis of git repositories. It allows for calculation of Truck Factor scores and code contribution metrics.

The tool closely resembles the algorithm proposed by Avelino et al. to estimate the Truck Factor.

Installation

Get the latest version by running:

pip install git-truckfactor

Dependencies

Git-truckfactor requires the following python libraries:

• NumPy

• NetworkX

• Plotly

In addition git-truckfactor makes use of the ruby library Linguist. That means you will also need Ruby installed.

• Linguist

Usage

The git-truckfactor package is intended to be used as a module.

1. Import the module into the python environment:

   import git_truckfactor

2. Clone git repository

   command:

   git_truckfactor.clone_repository(<github_repository_url>, <local_repository_path>)

   example:

   git_truckfactor.clone_repository('https://github.com/pandas-dev/pandas.git', './github_repos/pandas')

   returns: local_repository_path

3. Calculate truckfactor

   command:

   git_truckfactor.truck_factor_repo(<local_repository_path>, <cur_wd>, <start_date>, <end_date>)

   example:

   cur_wd = os.getcwd()
   git_truckfactor.truck_factor_repo('./github_repos/pandas', cur_wd, '2020-01-01', '2021-01-01')

   returns: truckfactor score + creates a directory ‘truckfactor_results’ with truck factor statistics stored in a CSV-file

See the demo.ipynb file for examples on how to use git-truckfactor for multiple repositories.