dython

A set of data tools in Python

Latest version: 0.7.12 registry icon
Maintenance score
63
Safety score
100
Popularity score
26
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Security
  Vulnerabilities
Version Suggest Low Medium High Critical
0.7.12 0 0 0 0 0
0.7.11 0 0 0 0 0
0.7.10 0 0 0 0 0
0.7.9 0 0 0 0 0
0.7.8 0 0 0 0 0
0.7.7 0 0 0 0 0
0.7.6 0 0 0 0 0
0.7.5 0 0 0 0 0
0.7.4 0 0 0 0 0
0.7.3 0 0 0 0 0
0.7.2 0 0 0 0 0
0.7.1.post4 0 0 0 0 0
0.7.1.post3 0 0 0 0 0
0.7.1.post2 0 0 0 0 0
0.7.1.post1 0 0 0 0 0
0.7.1 0 0 0 0 0
0.7.0 0 0 0 0 0
0.6.8 0 0 0 0 0
0.6.7.post2 0 0 0 0 0
0.6.7.post1 0 0 0 0 0
0.6.7 0 0 0 0 0
0.6.6 0 0 0 0 0
0.6.5.post1 0 0 0 0 0
0.6.5 0 0 0 0 0
0.6.4.post1 0 0 0 0 0
0.6.4 0 0 0 0 0
0.6.3 0 0 0 0 0
0.6.2 0 0 0 0 0
0.6.1 0 0 0 0 0
0.6.0 0 0 0 0 0
0.5.2 0 0 0 0 0
0.5.1 0 0 0 0 0
0.5.0a3 0 0 0 0 0
0.5.0a0 0 0 0 0 0
0.5.0.post2 0 0 0 0 0
0.5.0.post1 0 0 0 0 0
0.5.0 0 0 0 0 0
0.4.7 0 0 0 0 0
0.4.6 0 0 0 0 0
0.4.5.post3 0 0 0 0 0
0.4.5.post2 0 0 0 0 0
0.4.5.post1 0 0 0 0 0
0.4.5 0 0 0 0 0
0.4.4 0 0 0 0 0
0.4.3 0 0 0 0 0
0.4.3a0 0 0 0 0 0
0.4.2 0 0 0 0 0
0.4.1 0 0 0 0 0
0.4.0 0 0 0 0 0
0.3.1 0 0 0 0 0
0.3.0 0 0 0 0 0
0.2.0 0 0 0 0 0

Stability
Latest release:

0.7.12 - This version is safe to use because it has no known security vulnerabilities at this time. Find out if your coding project uses this component and get notified of any reported security vulnerabilities with Meterian-X Open Source Security Platform

Licensing

Maintain your licence declarations and avoid unwanted licences to protect your IP the way you intended.

MIT   -   MIT License

Not a wildcard

Not proprietary

OSI Compliant



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Dython

PyPI Version Conda Version Python Version PyPI - Downloads Coverage License Paper Zenodo

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.

Installation

Dython can be installed directly using pip:

pip install dython

or, via the conda package manager:

conda install -c conda-forge dython

Documentation

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.

Contributing

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.

Citing

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}
 }