apache/hamilton

hamilton-core

Core Hamilton patterns for creating DAGs, applying decorators, testing, and debugging dataflows. Use for basic Hamilton development tasks.

hamilton-dev-workflow

Systematic 5-step workflow for building Hamilton DAGs - DOT graphs, signatures, validation, TDD implementation. Use this workflow when creating new Hamilton modules from scratch.

hamilton-integrations

Hamilton integration patterns for Airflow, Dagster, FastAPI, Streamlit, Jupyter notebooks, and other frameworks. Use when integrating Hamilton with other tools.

hamilton-llm

LLM and AI workflow patterns for Hamilton including RAG pipelines, embeddings, vector databases, and prompt engineering. Use for building AI applications with Hamilton.

hamilton-observability

Hamilton UI and SDK patterns for tracking, monitoring, and debugging dataflows. Use for observability, lineage tracking, and production monitoring.

hamilton-scale

Performance and parallelization patterns for Hamilton including async I/O, Spark, Ray, Dask, caching, and multithreading. Use for scaling Hamilton workflows.

hamilton-mcp

Interactive Hamilton DAG development via MCP tools. Validate, visualize, scaffold, and execute Hamilton pipelines without leaving the conversation. Use when building or debugging Hamilton dataflows interactively.