Metadata-Version: 2.4
Name: antyx
Version: 0.1.9
Summary: Antyx is an automated EDA engine designed to generate fast, structured and professional exploratory reports from any tabular dataset.
Author-email: Daniel Rodrigálvarez Morente <drm.datos@email.com>
License: MIT
Project-URL: Homepage, https://github.com/drmdata/antyx
Project-URL: Documentation, https://github.com/drmdata/antyx/wiki
Project-URL: Source, https://github.com/drmdata/antyx
Project-URL: Issues, https://github.com/drmdata/antyx/issues
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: chardet==5.2.0
Requires-Dist: pydantic==2.12.5
Requires-Dist: pandas==2.3.3
Requires-Dist: numpy==2.4.1
Requires-Dist: matplotlib==3.10.8
Requires-Dist: seaborn==0.13.2
Requires-Dist: plotly==6.5.2
Requires-Dist: polars==1.37.1
Requires-Dist: openpyxl==3.1.5
Requires-Dist: xlsxwriter==3.2.9
Requires-Dist: requests==2.32.5
Requires-Dist: tqdm==4.67.1
Requires-Dist: Flask==3.1.2

# **Antyx**

Version: 0.1

Antyx is an automated EDA engine designed to generate fast, structured and professional exploratory reports from any tabular dataset.

* PyPI package: https://pypi.org/project/Antyx/
* Free software: MIT License
* Documentation: https://Antix.readthedocs.io.

## Installation

Pypi

Basic dependencies:
```bash
pip install antyx
```

All dependencies (extras included)
```bash
pip install antyx[all]
```

GitHub
```bash
git clone https://github.com/DRMdata/antyx.git
cd antyx
pip install -e .
```

## Features

Statistical profiling

Correlation analysis

Outlier detection

Variable typing

Clean HTML reports

Pandas & Polars compatible
