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}
 }