Welcome to datafold¶
Version: 1.1.6 Date: 02 December 2021
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>=3.7:
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 (1,2) DL is supported by the German Research Foundation (DFG), grant no. KO 5257/3-1 and thanks the research office (FORWIN) of Munich University of Applied Sciences HM and the center of doctoral studies in informatics (CeDoSIA) of the Technical University of Munich for their support.
Felix Dietrich (link) (2) FD thanks the Technical University of Munich for their support.
All source code contributors are listed here.
