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 accessed 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. 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.
====
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 accessed 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. 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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Akvo-1.0.14.tar.gz
(97.6 kB
view hashes)
Built Distribution
Akvo-1.0.14-py3-none-any.whl
(192.4 kB
view hashes)