Welcome to datafold#
Version: 2.0.1 Date: 30 October 2023
What is datafold?
datafold is a Python package
containing operator-theoretic models to identify dynamical systems from time series data and
infer geometrical structures from point clouds.
See also the Introduction page.
Install the package with Python>=3.9:
python -m pip install datafold
Software management#
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Cite#
If you use datafold in your research, please cite our paper 
that we
published in the Journal of Open Source Software (JOSS ).
Lehmberg et al., (2020). datafold: data-driven models for point clouds and time series on manifolds. Journal of Open Source Software, 5(51), 2283, https://doi.org/10.21105/joss.02283
Bibtex
@article{Lehmberg2020,
doi = {10.21105/joss.02283},
url = {https://doi.org/10.21105/joss.02283},
year = {2020},
publisher = {The Open Journal},
volume = {5},
number = {51},
pages = {2283},
author = {Daniel Lehmberg and Felix Dietrich and Gerta K{\"o}ster and Hans-Joachim Bungartz},
title = {datafold: data-driven models for point clouds and time series on manifolds},
journal = {Journal of Open Source Software}}
Software maintainer and affiliation#
Daniel Lehmberg (link )
from 5/2022 postdoctoral researcher at Technical University of Munich (1)
from 3/2018-5/2022 PhD candidate at both Munich University of Applied Scienes (2) and Technical University of Munich (1) with funding from the German Research Foundation (DFG ), grant no. KO 5257/3-1.
Felix Dietrich (1, link )
All source code contributors are listed here.
(1) Technical University of Munich#
School of Computiation, Information and Technology (CIT) at Chair of Scientific Computing in Computer Science (link )
(2) Munich University of Applied Sciences HM#
Faculty of Computer Science and Mathematics (link ) in Pedestrian Dynamics Research Group (link )
