Divisi2 is embedded in a larger project on knowledge representation (semantic networks and the like) in the MIT, so it is intended to be used in applications in AI and not in linguistics.

It is SVD (singular value decomposition) library for Python.

It requires numpy (numerical python, a standard library for scientifically computing with py) and pysparse (a further extension for matrix processing). From my own experience, installing numpy is not trivial.

As far as I can see right now, it is necessary to develop or use another to collect the context vectors, etc..

Easy installation (around 5 minutes if you have numpy).

Quick overview.

Documentation

The installation process is by itself quite simple -you will need just two commands. However a number of libraries are necessary to run Divisi2 and their installation is not quite simple, at least that is what I remember from installing numpy. In my case, I had to install (and maybe build) several libraries, in particular, ATLAS.