codemetrics
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Multi language library for pandas notebook to mine git and gain insights on your code base.
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=========== codemetrics
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
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).
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_.
.. _Cookiecutter: https://github.com/audreyr/cookiecutter .. _lizard: https://github.com/terryyin/lizard .. _pandas: https://pandas.pydata.org/ .. _cloc: http://cloc.sourceforge.net/ .. _Pandas documentation: https://pandas.pydata.org/pandas-docs/stable/text.html .. _MIT License: https://en.wikipedia.org/wiki/MIT_License .. _Adam Tornhill: https://www.adamtornhill.com/ .. _module documentation: https://codemetrics.readthedocs.org/ .. _example notebook: https://github.com/elmotec/codemetrics/blob/main/notebooks/pandas.ipynb .. _example html export: https://github.com/elmotec/codemetrics/blob/main/notebooks/pandas.html