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RationAI Python SDK

Python 3.12+ License: MIT Documentation

Python SDK for interacting with RationAI pathology image analysis services. This library provides both synchronous and asynchronous clients for image classification, segmentation, and quality control operations.

Documentation

Comprehensive documentation is available at rationai.github.io/rationai-sdk-python.

Features

  • Image Analysis: Classify and segment pathology images (WSI patches) using deployed models.
  • Quality Control: Automated QC workflows for Whole Slide Images (WSI).
  • Concurrency: Built-in async support for high-throughput processing.
  • Efficiency: Optimized data transfer with LZ4 compression.

Requirements

  • Python 3.12 or higher

Installation

Install the package directly from GitHub:

pip install git+https://github.com/RationAI/rationai-sdk-python.git

Quick Start

from PIL import Image
import rationai

# Load an image (must be RGB)
image = Image.open("path/to/image.jpg").convert("RGB")

# Initialize the client and run classification
with rationai.Client() as client:
    result = client.models.classify_image("model-name", image)
    print(f"Classification result: {result}")

For asynchronous usage, configuration options, and advanced features, please refer to the documentation.

License

This project is licensed under the MIT License - see the LICENSE file for details.