A set of Data analysis tools in pYTHON 3.x.
Dython was designed with analysis usage in mind - meaning ease-of-use, functionality and readability are the core values of this library.
Dython can be installed directly using pip:
pip install dython
or, via the conda package manager:
conda install -c conda-forge dython
Modules documentation can be found on shakedzy.xyz/dython. You can also learn more and see examples of the main methods of this library on these blogposts.
Contributions are always welcomed - if you found something you can fix, or have an idea for a new feature, feel free to write it and open a pull request. Please make sure to go over the contributions guidelines.
When using Dython, please cite it using this citation:
@article{Zychlinski2025,
doi = {10.21105/joss.09174},
url = {https://doi.org/10.21105/joss.09174},
year = {2025},
publisher = {The Open Journal},
volume = {10},
number = {116},
pages = {9174},
author = {Shaked Zychlinski},
title = {dython: A Set of Analysis and Visualization Tools for Data and Variables in Python},
journal = {Journal of Open Source Software}
}