Mine your SCM for insight on your software. A work of love inspired by Adam Tornhill's books.
Code metrics is a simple Python module that leverage pandas and your source control management (SCM) tool togenerate insight on your code base.
- pandas: for data munching.
- lizard: for code complexity calculation.
- cloc.pl (script): for line counts from cloc
- For now, only Subversion and git are supported.
To install codemetrics, simply use pip:
pip install codemetrics
This is a simple tool that makes it easy to retrieve information from your Source Control Management (SCM) repository and hopefully gain insight from it.
import codemetrics as cm
import cm.git
project = cm.GitProject('path/to/project')
loc_df = cm.get_cloc(project, cloc_program='/path/to/cloc')
log_df = cm.get_log(project)
ages_df = cm.get_ages(log_df)
To retrieve the number of lines changed by revision with Subversion:
import codemetrics as cm
import cm.git
project = cm.SvnProject('path/to/project')
log_df = cm.get_log(project).set_index(['revision', 'path'])
log_df.loc[:, ['added', 'removed']] = log_df.reset_index().\
groupby('revision').\
apply(cm.svn.get_diff_stats, chunks=False)
See module documentation for more advanced functions or the example notebook where codemetrics is applied to pandas.
There is also an example notebook running codemetrics on the pandas code base, and the example html export of that notebook output (some features are missing like the display of file names when hovering on the circles).
Licensed under the term of MIT License. See attached file LICENSE.txt.
- This package was inspired by Adam Tornhill's books.
- This package was created with Cookiecutter.