Metadata-Version: 2.4
Name: ratiopath
Version: 1.4.0
Summary: A library for efficient processing and analysis of whole-slide pathology images.
Author-email: Matěj Pekár <matejpekar@mail.muni.cz>, Jakub Pekár <jakubpekar@mail.muni.cz>, Adam Kukučka <adamkukucka@mail.muni.cz>, Vít Musil <musil@fi.muni.cz>
License-Expression: MIT
Project-URL: Homepage, https://github.com/RationAI/ratiopath
Requires-Python: <3.14,>=3.12
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: albumentations>=2.0.8
Requires-Dist: imagecodecs>=2025.8.2
Requires-Dist: numpy>=2.2.2
Requires-Dist: openslide-python>=1.4.1
Requires-Dist: pandas>=2.2.3
Requires-Dist: pillow>=11.1.0
Requires-Dist: pyvips>=2.2.3
Requires-Dist: ray[data]>=2.50.0
Requires-Dist: scikit-image>=0.25.2
Requires-Dist: tifffile>=2024.5.22
Requires-Dist: shapely>=2.0.0
Requires-Dist: torch>=2.6.0
Requires-Dist: zarr>=3.1.1
Requires-Dist: geopandas>=1.1.2
Requires-Dist: rasterio>=1.4.3
Requires-Dist: scikit-learn>=1.8.0
Dynamic: license-file

<div align="center">
  <h1>RatioPath</h1>

<a href="https://pypi.org/project/ratiopath"><img alt="PyPI version" src="https://img.shields.io/pypi/v/ratiopath.svg?style=for-the-badge&labelColor=000000"></a>
<a href="https://github.com/RationAI/ratiopath/blob/main/LICENSE"><img alt="License" src="https://img.shields.io/npm/l/next.svg?style=for-the-badge&labelColor=000000"></a>
</div>

## Getting Started

RatioPath is a Python library for large-scale processing, analysis, and transformation of whole-slide pathology images (WSIs).  
It is built on top of the [Ray](https://www.ray.io/) framework to enable distributed, fault-tolerant, and scalable pipelines across multi-node environments.

- Visit our [Learn RatioPath](https://rationai.github.io/ratiopath/learn/get-started/quick-start/) course to get started with RatioPath.

## Documentation

Visit [https://rationai.github.io/ratiopath](https://rationai.github.io/ratiopath) to view the full documentation.
