Surface nuclear magnetic resonance workbench
Project description
# Akvo
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.
The bleeding-edge code may be accesed using the git client ` git clone https://git.lemmasoftware.org/akvo.git ` or, using our GitHub mirror ` git clone https://github.com/LemmaSoftware/akvo.git `
## Installation
Installation is straightforward. The only prerequisite that is sometimes not properly handled is PyQt5 which sometimes needs to be manually installed. ` python3 setup.py build python3 setup.py install `
Alternatively, release versions can be installed via pip ` pip install akvo `
## Team
Akvo is developed by several teams including the University of Utah.
## Capabilities
Akvo currently has preprocessing capabilities for VistaClara GMR data.
## Benefits
Processing steps are retained and logged in the processed file header, which is written in YAML. This allows data processing to be repeatible, which is a major benefit.
## Languages
Akvo is written primarily in Python 3. The graphical user unterface is written in PyQt5. An interface to modelling software written in C++ (Lemma and Merlin) is in development.
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