Metadata-Version: 2.4
Name: labda
Version: 0.0.13.dev0
Summary: Library for Advanced Behavioural Data Analysis
Project-URL: homepage, https://labda.josefheidler.cz
Project-URL: repository, https://github.com/josefheidler/labda
Project-URL: documentation, https://labda.josefheidler.cz
Author-email: Josef Heidler <jheidler@health.sdu.dk>
Maintainer-email: Josef Heidler <jheidler@health.sdu.dk>
License-Expression: MIT
License-File: LICENSE.md
Keywords: accelerometer,analysis,behaviour,data,gps,health,movement,spatial,transport
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.12
Requires-Dist: geopandas>=1.0.1
Requires-Dist: geopy>=2.4.1
Requires-Dist: kaleido==0.2.1
Requires-Dist: mappymatch>=0.6.0
Requires-Dist: openmovement
Requires-Dist: openpyxl>=3.1.5
Requires-Dist: osmnx>=2.0.1
Requires-Dist: pandas>=2.2.3
Requires-Dist: pandera[geopandas]>=0.23.1
Requires-Dist: pillow>=11.1.0
Requires-Dist: plotly>=5.24.1
Requires-Dist: pyarrow>=18.1.0
Requires-Dist: pydantic[email]>=2.10.3
Requires-Dist: pydeck>=0.9.1
Requires-Dist: pygt3x>=0.7.1
Requires-Dist: pyproj>=3.7.0
Requires-Dist: requests>=2.32.3
Requires-Dist: scikit-learn>=1.6.1
Requires-Dist: scipy>=1.15.0
Requires-Dist: shapely>=2.0.6
Requires-Dist: timezonefinder>=6.5.7
Requires-Dist: tqdm>=4.67.1
Description-Content-Type: text/markdown

[![pypi](https://img.shields.io/pypi/v/labda.svg)](https://pypi.python.org/pypi/labda)
[![downloads](https://static.pepy.tech/badge/labda/month)](https://pepy.tech/project/labda)
[![versions](https://img.shields.io/pypi/pyversions/labda.svg)](https://github.com/josefheidler/labda)
[![discord](https://img.shields.io/discord/1165947556807848016)](https://discord.gg/qu6ax5Q64j)

# LABDA: Library for Advanced Behavioural Data Analysis

LABDA, a Python package built for health researchers, transforms raw movement data into compelling stories about human behaviour.

