Skip to main content

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Akvo-1.0.12.tar.gz (97.4 kB view hashes)

Uploaded Source

Built Distribution

Akvo-1.0.12-py3-none-any.whl (192.2 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page