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🪁 KiteML

Train production-grade ML models with a single line of code — intelligent AutoML for everyone.

KiteML is a full-stack, end-to-end framework that takes raw data and turns it into a deployed, monitored production model across 5 completed architecture epics.

Why KiteML?

  • Intelligent by Default: Built-in data profiling, automated data leakage detection, and imbalance analysis.
  • Intelligent ML Pipeline: DAG transformation engine, automated feature engineering, voting feature selection, and .kml binary package serialization with SHA-256 integrity checksums.
  • Production-Ready: Serve models via FastAPI REST APIs (kiteml serve), ONNX graphs, or Docker containers with live drift monitoring.
  • Developer First: World-class 14-command CLI, structured exceptions (KML-XXX), warning policies (KML-W-XXX), and context-aware suggestions engine.

Quick Start

pip install kiteml-ai

kiteml init my_project
cd my_project

# Auto-train and generate model
kiteml train data.csv --target churn --save model.pkl

# Serve immediately via REST API
kiteml serve model.pkl --port 8000

Community

KiteML is open source and community-driven. Read our Contribution Guide to get involved!