ModOpt

 

Authors:  S. Farrens, Z. Ramzi, Contributors
Language: Python
Download: GitHub
Description: ModOpt is a series of Modular Optimisation tools for solving inverse problems.
Notes:

API documentation


Installation

$ pip install modopt

Contributing

If you want to contribute to ModOpt, be sure to review the contribution guidelines and follow to the code of conduct.

PySAP

 

Authors:  S. Farrens, A. Grigis, L. El Gueddari, Z. Ramzi, Chaithya G. R., S. Starck, B. Sarthou, H. Cherkaoui, P.Ciuciu, J-L. Starck
Language: Python
Download: GitHub
Description: PySAP (Python Sparse data Analysis Package) is a Python module for sparse data analysis.
Notes:

PySAP paper


Installation

The installation of PySAP has been extensively tested on Ubuntu and macOS, however we cannot guarantee it will work on every operating system (e.g. Windows).

If you encounter any installation issues be sure to go through the following steps before opening a new issue:

  1. Check that that all of the installed all the dependencies listed above have been installed.
  2. Read through all of the documentation provided, including the troubleshooting suggestions.
  3. Check if you problem has already been addressed in a previous issue.

Further instructions are available here.

From PyPi

To install PySAP simply run:

$ pip install python-pysap

Depending on your Python setup you may need to provide the --user option.

$ pip install --user python-pysap

Locally

To build PySAP locally, clone the repository:

$ git clone https://github.com/CEA-COSMIC/pysap.git

and run:

$ python setup.py install

or:

$ python setup.py develop

As before, use the --user option if needed.

macOS

Help with installation on macOS is available here.

Linux

Please refer to the PyQtGraph homepage for issues regarding the installation of pyqtgraph.

Contributing

If you want to contribute to pySAP, be sure to review the contribution guidelines and follow to the code of conduct.