.. DANTIS documentation master file, created
 on Thu Jul 10 18:46:38 2025.

DANTIS documentation
====================

**DANTIS** (Detection of ANomalies in TIme Series) is a Python library that unifies over 50 anomaly detection algorithms under a single, consistent API.  
It supports statistical, machine learning, and deep learning approaches, and includes both programmatic usage and a graphical interface for experimentation.

This documentation provides a complete guide to using DANTIS, from installation to advanced usage and extension.

.. image:: _static/logo-dantis.png
   :alt: DANTIS logo
   :align: center
   :height: 120px

----

.. toctree::
   :maxdepth: 2
   :caption: 📚 Reference

   api/dantis

   api/guide-add-algorithm


🧠 **Citation:** If you use DANTIS in academic work, please cite it as described in the README (https://github.com/kdis-lab/dantis)

🔗 **Repository:** https://github.com/kdis-lab/dantis  
📖 **Web Documentation:** https://dantis.readthedocs.io