https://github.com/shakedzy/dython

A set of data tools in Python
https://github.com/shakedzy/dython

analysis correlation data modeling plot python roc

Last synced: about 2 months ago
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A set of data tools in Python

• Host: GitHub
• URL: https://github.com/shakedzy/dython
• Owner: shakedzy
• License: mit
• Created: 2018-02-04T15:07:45.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2026-01-11T12:39:25.000Z (3 months ago)
• Last Synced: 2026-01-11T16:48:51.641Z (3 months ago)
• Topics: analysis, correlation, data, modeling, plot, python, roc
• Language: Python
• Homepage: http://shakedzy.xyz/dython/
• Size: 4.51 MB
• Stars: 511
• Watchers: 13
• Forks: 103
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Citation: CITATION.cff

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README

          
![banner](http://shakedzy.xyz/dython/images/index_banner.png)

# Dython

[![PyPI Version](https://img.shields.io/pypi/v/dython.svg)](https://pypi.org/project/dython/)

[![Conda Version](https://img.shields.io/conda/vn/conda-forge/dython)](https://anaconda.org/conda-forge/dython)

[![Python Version](https://img.shields.io/pypi/pyversions/dython.svg)](https://pypi.org/project/dython/)

[![PyPI - Downloads](https://img.shields.io/pypi/dm/dython)](https://pypistats.org/packages/dython)

[![Coverage](https://codecov.io/github/shakedzy/dython/coverage.svg?branch=main)](https://app.codecov.io/github/shakedzy/dython/)

[![License](https://img.shields.io/pypi/l/dython)](https://github.com/shakedzy/dython/blob/master/LICENSE)

[![Paper](https://img.shields.io/badge/JOSS-10.21105%2Fjoss.09174-eb34c6)](https://joss.theoj.org/papers/10.21105/joss.09174)

[![Zenodo](https://img.shields.io/badge/Zenodo-10.5281%2Fzenodo.12698421-8f34eb)](https://zenodo.org/doi/10.5281/zenodo.12698421)

A set of **D**ata analysis tools in p**YTHON** 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](http://shakedzy.xyz/dython).

You can also learn more and see examples of the main methods of this library on 

[these blogposts](http://shakedzy.xyz/dython/related_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](https://github.com/shakedzy/dython/blob/master/CONTRIBUTING.md).

## Citing

When using Dython, please cite it using this citation:

```bibtex

@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}

 }

```