Surface nuclear magnetic resonance workbench
Akvo provides processing of surface NMR data. It aims to be simple to use yet flexible for accommodating changes to processing flow. Akvo is written primarily in Python 3 with a small amount of R as well. The application is written around a Qt GUI with plotting provided by Matplotlib. NMR modelling and EM functionality is provided by Lemma (pyLemma).
The bleeding-edge code may be accessed using the git client located at either
git clone http://lemma.codes/LemmaSoftware/Akvo.git
or, using our GitHub mirror
git clone https://github.com/LemmaSoftware/akvo.git
Installation is straightforward. The only prerequisite that is sometimes not properly handled is PyQt5 which sometimes needs to be manually installed, i.e.
pip install pyqt5
python3 setup.py build python3 setup.py install
Alternatively, release versions can be installed via pip
pip install akvo
Akvo is developed by several teams including the University of Utah. If you would like to contribute, please send an email to info(at)lemmasoftware.org.
Akvo currently has preprocessing capabilities for VistaClara GMR data.
Processing steps are retained and logged in the processed file header, which is written in YAML. This allows data processing to be repeatable.
Akvo is truly open source, anyone can access, use, and change the source code.
Akvo is written primarily in Python 3. The graphical user interface is written in PyQt5. An interface to modelling software written in C++ (Lemma and Merlin) is in development.
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