codemetrics 0.9.0

SCM mining utility classes

Code Metrics

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.

Installation

To install codemetrics, simply use pip:

pip install codemetrics

Usage

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

log_df = cm.get_git_log()
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

log_df = cm.get_svn_log().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

License

Licensed under the term of MIT License. See attached file LICENSE.txt.

Credits

• This package was inspired by Adam Tornhill’s books.

• This package was created with Cookiecutter.

History

0.9 (2019-03-19)

• Started changing interfaces to leverage apply and groupby.

• Added lines added/removed for Subversion.

0.8.2 (2019-02-26)

• Added svn.get_diff_stats to retrieve line changes stats per diff.

0.8 (2019-02-13)

• Integrated lizard to calculate average and function level cyclomatic complexity.

0.7 (2019-01-09)

• Function oriented interface.

• Visualization via Vega, Altair.

• Documentation.

0.6

• Alpha work.

0.5 (2018-05-12)

• First release on PyPI.