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mr.cabot 1.0
A utility for finding and mapping contributions to open source projects

mr.cabot is unavailable in PyPM, because there aren't any builds for it in the package repositories. Click the linked icons to find out why.

 Python 2.7Python 3.2Python 3.3
Windows (32-bit)
Windows (64-bit)
Mac OS X (10.5+)
Linux (32-bit)
Linux (64-bit)
 
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Author
License
BSD

About

mr.cabot is a tool for allowing software projects to map where their contributions are coming from. It reads data form common sources like GitHub, gmane and stackoverflow and attempts to locate where those contributors are physically located.

Basic usage

You need to customise your mr.cabot.cfg config file to match your software project. The basic format is that the sources line lists the sections that supply lists of contributors and users lists the sections that supply lists of contributors.

Only the GitHub sources support user enumeration at the moment, but stackoverflow and gmane both extract geolocation information where possible.

Example

The current example from the Plone project generates the following:

http://dist.plone.org/media/contributormaps/latest.png

Source types

github
type
github
key
the name of the organisation to be scanned
token
an oauth token, preferably one with the repo scope. See https://help.github.com/articles/creating-an-oauth-token-for-command-line-use
checkout_directory
an existing directory to cache checkouts in to save on bandwidth
git
type
git
key
a clone url of a git repository
stackoverflow
type
stackoverflow
key
a tag used on stack overflow
days
the number of days of history to download
gmane
type
gmane
key
the full gmane newsgroup name
messages
downloads the last x messages

Output types

Output type defaults to a google static map, but can be selected using --output type on the command line.

The available options are:

  • googlestaticmap
  • html
  • kml

Caching

No caching of geolocation data is included as yet, but data runs are cached under var/data, with the filename yyyy-mm-dd.pickle. This allows you to re-run old data sets if you are changing display methods.

To load a pickle instead of re-scanning use the --pickle command line option:

./bin/cabot --pickle ./var/data/2013-01-05.pickle --output kml

Additionally, there is a command line option to skip pulling git repositories. This is useful for re-running when you are tweaking the config file initially, as updating git is the slowest section:

./bin/cabot -N --output kml

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