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. 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 
============

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
```

Team 
====
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. 

Capabilities 
============
Akvo currently has preprocessing capabilities for VistaClara GMR data. 

Benefits 
========

Reproducibility
---------------
Processing steps are retained and logged in the processed file header, which is written in YAML. 
This allows data processing to be repeatable. 

Open source
----------
Akvo is truly open source, anyone can access, use, and change the source code. 

Languages
=========
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.