Installation - AIDflow Documentation

Getting AIDflow into your environment is straightforward. We support all major Python 3.12+ distributions.

Requirements

Python 3.12+
OS: Linux, macOS, Windows
Memory: 8 GB+ (recommended: 16 GB for --size large runs)

Basic Installation

Install the stable release via pip:

# Core (CLI pipeline)
pip install aidflow

# + Interactive notebook UI
pip install aidflow[notebook]

# + Ray (multiprocess acceleration, Python < 3.14)
pip install aidflow[ray]

# All optional
pip install aidflow[all]

What’s Inside

Core Compute: PyArrow, NumPy, Pandas, SciPy, Scikit-Learn, statsmodels
Model Backends: Logistic Regression, Lasso, ElasticNet, PLS, XGBoost, LightGBM
Optimization: SHAP, Optuna, Permutation Importance, Shadow Features
Execution: Ray (optional) | multiprocessing
Output: HTML reports | ANSI terminal | Jupyter interactive

Verifying Installation

To ensure AIDflow is correctly installed and your environment is ready for the ProjectContext orchestration, run:

import aidflow
print(aidflow.__version__)

Customizing Your Environment

For corporate environments with specific security constraints (e.g., internal PyPI mirrors), you can install via your config file:

pip install -r requirements.txt --index-url http://your-internal-mirror/simple