Skip to main content

Tools for working with caridac mps files

Project description

CI PyPI version 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/docs/install.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-2026.1.0.tar.gz (162.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cardiac_mps-2026.1.0-py3-none-any.whl (167.9 kB view details)

Uploaded Python 3

File details

Details for the file cardiac_mps-2026.1.0.tar.gz.

File metadata

  • Download URL: cardiac_mps-2026.1.0.tar.gz
  • Upload date:
  • Size: 162.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for cardiac_mps-2026.1.0.tar.gz
Algorithm Hash digest
SHA256 7d9fa82c99c3c4b82b9d8346b10383b15d545dac7723da5541cc50cf622173d7
MD5 76c5de5bcee2f29022e7e11d480322b4
BLAKE2b-256 557449f72eda6b1b7736f7db283c093cd40e54085a45cd12670153243c64ae10

See more details on using hashes here.

File details

Details for the file cardiac_mps-2026.1.0-py3-none-any.whl.

File metadata

  • Download URL: cardiac_mps-2026.1.0-py3-none-any.whl
  • Upload date:
  • Size: 167.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for cardiac_mps-2026.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 43bde546e544a2dfc9c63083636ff52f9b62d4c830014f2d83eac13907e53c54
MD5 586dcefd29a7f10d21ee679769b48ed3
BLAKE2b-256 33202e7828fccccf4c712935def8e941b60f628a601a3dfd9e723f1eac6fd495

See more details on using hashes here.

Supported by

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