Hypogenic

Overview

Hypogenic provides automated hypothesis generation and testing using large language models to accelerate scientific discovery. The framework supports three approaches: HypoGeniC (data-driven hypothesis generation), HypoRefine (synergistic literature and data integration), and Union methods (mechanistic combination of literature and data-driven hypotheses).

Quick Start

Get started with Hypogenic in minutes:

# Install into its own environment: hypogenic 0.3.5 pins numpy~=1.26, pandas~=2.1,
# torch~=2.4, transformers~=4.45, openai~=1.40 and anthropic~=0.32 (Python 3.10–3.12)
uv venv .venv-hypogenic --python 3.10 && source .venv-hypogenic/bin/activate
uv pip install hypogenic

# Clone example datasets
git clone https://github.com/ChicagoHAI/HypoGeniC-datasets.git ./data