You can install locally patent2Net and use it in standalone mode. Only the P2N indexer and integrated Carrot2 feature won’t work. The use of the web interface may also be conditionned you run the app.py launcher. Aside this, the API patent2Net (p2n) will work and can do a lot of stuff for you.

When you know what you do…

Install from source

• Download Anaconda 3 (big installation, https://www.anaconda.com/distribution/) OR Miniconda https://docs.conda.io/en/latest/miniconda.html

• Download P2N latest https://github.com/Patent2net/P2N-v3

• Unzip to a the P2N directory (please choose a safe path: the root of your second hard drive (d:P2N) for instance is the prefered choice)

• Launch (double click) installP2N.bat (let it work; do not close windows; that process can be quite long depending on you machine and network access)

• Copy or create cles-epo.txt file (be aware must be ANSI encode caracters !). See https://docs.ip-tools.org/patent2net/configure.html .

• Formulate the desired cql file in ./REQUESTS/ directory. See https://docs.ip-tools.org/patent2net/usage/index.html

• Double click runP2N.bat and have fun!

Next is just for history

• Source releases are available from GitHub: https://github.com/Patent2net/P2N/releases

• Install a specific version:

  pip install 'https://github.com/Patent2net/P2N/archive/3.0.0-dev6.tar.gz' --upgrade
  

• Install the current development version:

  pip install 'https://github.com/Patent2net/P2N/archive/develop.tar.gz' --upgrade
  

Install binary package (Old features)

• Binary releases are available at

  http://patent2netv2.vlab4u.info/dokuwiki/doku.php?id^user_manual:download_install

Appendix

Warning

The following (Image Magic, graphviz etc.) is functional on the Docker image. Only follow it if you make your own installation on your system. Not recommended if you aren’t sure!

Install ImageMagick

On Debian Linux:

apt install imagemagick

On Windows:

https://www.imagemagick.org/script/download.php#windows

Install Patent2Net on Linux

If you’re using Ubuntu or Debian distributions, make sure to have these prerequisites installed:

sudo apt-get install python-pip build-essential python-dev libjpeg-dev libxml2-dev libfreetype6-dev libpng-dev

Install pygraphviz on Mac OS X:

pip install --install-option^"--include-path^/opt/local/include" --install-option^"--library-path^/opt/local/lib" "pygraphviz^^1.3.1"

Install Patent2Net on Windows

• Install Graphviz (I used 2.38)

• Anaconda

  • Starting from Anaconda 2.7 installation (32 or 64 bits)

  • To install Anaconda go to https://www.continuum.io/downloads

  • Use Anaconda 4.2.0 or superior version

  • Use Python 2.7 version

• Then:

  pip install --upgrade requests
  pip install --upgrade networkx
  pip install --upgrade setuptools
  

• Download the epo_ops directory of https://github.com/55minutes/python-epo-ops-client in …Anaconda2Libsite-packages

• In IPython: import epo_ops

• Download curses http://www.lfd.uci.edu/~gohlke/pythonlibs/#curses followed by pip install curses-2.2-cp2.7(...).whl

• Download https://bitbucket.org/taynaud/python-louvain followed by python setup.py install

• Install pygraphviz (for 64 bits use: http://www.lfd.uci.edu/~gohlke/pythonlibs/#pygraphviz)

• pip install --upgrade jinja2