IPython nbviewer is the web application behind IPython Notebook Viewer, which is graciously hosted by Rackspace.
Run this locally to get most of the features of nbviewer on your own network.
If you have docker installed, you can pull and run the currently built version of the Docker container by
$ docker pull ipython/nbviewer
$ docker run -p 8080:8080 ipython/nbviewer
It automatically gets built with each push to master, so you'll always be able to get the freshest copy.
For speed and friendliness to GitHub, be sure to set GITHUB_OAUTH_KEY and GITHUB_OAUTH_SECRET:
$ docker run -p 8080:8080 ipython/nbviewer -e 'GITHUB_OAUTH_KEY=YOURKEY' \
-e 'GITHUB_OAUTH_SECRET=YOURSECRET'
You can build a docker image that uses your local branch
docker build -t nbviewer .
docker run -p 8080:8080 nbviewer
The Notebook Viewer requires several binary packages to be installed on your system. The primary ones are libmemcached-dev libcurl4-openssl-dev pandoc libevent-dev. Package names may differ on your system, see salt-states for more details.
If they are installed, you can install the required Python packages via pip.
pip install -r requirements.txt
$ cd <path to repo>
$ python -m nbviewer --debug --no-cache
This will automatically relaunch the server if a change is detected on a python file, and not cache any results. You can then just do the modifications you like to the source code and/or the templates then refresh the pages.