New in version 2:
- real time stats (updated daily),
- server-side rendering,
- JSON endpoint to access all the data,
- repository recommendations based on a social graph of GitHub activity.
To run the analysis, you'll need Redis and a running
redis-server. You'll also need
FLANN including
the Python bindings installed on your Python path. Then, install the other
requirements using:
pip install -r requirements.txt
Version 2 of the OSRC comes with a daemon osrcd designed to be run once a day to update the
stats. To initialize the database with the event stream starting at the beinning of 2013, run:
./osrcd --since 2013-01-01
After this finishes, all you need to do is rerun osrcd (using a cronjob or similar) once a
day (some time after 1am PST) to update the stats.
The web app is a Flask app that is defined in osrc/__init__.py.
The Open Source Report Card was created by Dan Foreman-Mackey and it is made available under the MIT License.