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
1 maintainer
Release files for cardiac-mps 2026.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cardiac_mps-2026.1.0.tar.gz | 162.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cardiac_mps-2026.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 330.7 kB
Release files / cardiac_mps-2026.1.0.tar.gz
| Download URL | cardiac_mps-2026.1.0.tar.gz |
|---|---|
| Size | 162.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.13.12
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Release files / cardiac_mps-2026.1.0-py3-none-any.whl
| Download URL | cardiac_mps-2026.1.0-py3-none-any.whl |
|---|---|
| Size | 167.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
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