Installation

Quick Install

pip install causal-toolkit

Optional Dependencies

# Development tools (pytest, ruff, mypy, mkdocs, etc.)
pip install "causal-toolkit[dev]"

# Visualization extras (pygraphviz for hierarchical layouts)
pip install "causal-toolkit[viz]"

# Notebook support (jupyter, nbconvert, ipykernel)
pip install "causal-toolkit[notebooks]"

# All extras
pip install "causal-toolkit[dev,viz,notebooks]"

Development Install

git clone https://github.com/anujsingh-cse/causal-inference-toolkit.git
cd causal-inference-toolkit
pip install -e ".[dev,viz,notebooks]"

Requirements

• Python 3.10+
• numpy >= 1.24
• pandas >= 2.0
• scipy >= 1.10
• networkx >= 3.1
• dowhy >= 0.9
• econml >= 0.15
• causalinference >= 0.1
• matplotlib >= 3.7
• seaborn >= 0.12
• plotly >= 5.15
• graphviz >= 0.20
• pydantic >= 2.5
• pydantic-settings >= 2.1
• pyyaml >= 6.0
• typer >= 0.9
• rich >= 13.5
• scikit-learn >= 1.3
• statsmodels >= 0.14

System Dependencies

Graphviz (for DAG rendering)

# Ubuntu/Debian
sudo apt-get install graphviz graphviz-dev

# macOS
brew install graphviz

# Windows
# Download from https://graphviz.org/download/
# Add to PATH

PyGraphviz (optional, for hierarchical layouts)

# Ubuntu/Debian
sudo apt-get install graphviz libgraphviz-dev pkg-config
pip install pygraphviz

# macOS
brew install graphviz
pip install pygraphviz

# Windows
# May require Microsoft Visual C++ Build Tools
pip install pygraphviz

Verify Installation

import causal_toolkit as ct
print(ct.__version__)  # 0.1.0

from causal_toolkit import CausalModel, DoWhyWrapper, SensitivityAnalyzer
print("Core imports work!")