Picassso is a light-weight, machine learning and image analysis framework for galaxy images.
Written in python, the core tools are accompanied by a library of publication-level analysis routines. For a quick tour of some of the features, have a look at this IPython notebook.
If you have python with distutils installed and properly configured, you can simply do:
$ git clone https://github.com/picassso/picassso
$ cd picassso
$ python setup.py install
$ cd ..
$ python
>>> import picassso
If this fails, you may find some more detailed installation instructions here. Once you have the package installed, you can try out the introductory tutorials. The full documentation can be found here.
Contributions to this project is highly welcome and helps us to make picassso better! As you develop analysis for your science using picassso, consider making your code available for everyone else to use. You might do so by creating a tutorial or cookbook or simply by adding your code to the relevant sub-module and submitting a pull request (make a fork first -- see https://help.github.com/articles/using-pull-requests).
If you are using picassso we would appreciate if you acknowledge it by citing the Astrophysics Source Code Library entry. Optionally you can also cite the Zenodo DOI for the specific version of picassso that you are using, which may be found here.
If you have trouble with picassso or you have feature requests/suggestions you can write to tbuck at aip.de