Metadata-Version: 2.1
Name: monalysa
Version: 0.0.4
Summary: A unified library for carrying out quantitative movement analysis.
Home-page: https://github.com/siva82kb/monalysa
License: MIT
Keywords: movement analysis,biomechanics,neurorehabilitation,sport science
Author: Sivakumar Balasubramanian (Siva)
Author-email: siva82kb@gmail.com
Requires-Python: >=3.9,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Project-URL: Repository, https://github.com/siva82kb/monalysa
Description-Content-Type: text/markdown

# <span style="color:#555"><span style="color:#A62B17">**Mo**</span>vement  A<span style="color:#A62B17">**nalys**</span>is Libr<span style="color:#A62B17">**a**</span>ry (Monalysa)</span>

Monalysa, _aka_ <u>**Mo**</u>ovement a<u>**nalys**</u>is libr<u>**a**</u>y, is a unified python library for the quantitative analysis of sensorimotor behavior. Monalysa provides a set of data structures, functions, and classes for representing, analyzing, and visualizing movement-related data from different technologies (motion capture, inertial measurement units, robots, force/torque sensors, force plates, etc.).

## Purpose of the library
In the spirit of open science, the monalysa library provides open-source code for a set of commonly used methods, measures, and tools for analyzing movement data. Such a library would be a step towards the standardization of procedures used for movement analysis.

## Who is this library for?
This library is aimed at students, researchers, clinicians and industry professionals working with movement data.

