Skip to main content

Tools for working with caridac mps files

Project description

CI PyPI version codecov github pages Code style: black License: LGPL v3

MPS

A library for reading and analyzing MPS data. The analysis scripts are heavily based on ap_features which is a package for computing features of action potential traces.

Installation

To install the package you can simply di

python -m pip install cardiac-mps

For more options see https://computationalphysiology.github.io/mps/install.html

Usage

See https://computationalphysiology.github.io/mps/demo.html

Documentation

https://computationalphysiology.github.io/mps

Contributing

See https://computationalphysiology.github.io/mps/CONTRIBUTING.html

Contact

This software is developed by Henrik Finsberg at Simula Research Laboratory. If you need to get in contact, please send me an email at henriknf@simula.no.

License

LGPLv2

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

cardiac_mps-2023.3.0.tar.gz (160.4 kB view hashes)

Uploaded Source

Built Distribution

cardiac_mps-2023.3.0-py3-none-any.whl (166.4 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