Hamilton
Lightweight library for defining data transformations as DAGs.
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—Overview
What is Hamilton?
Hamilton is a lightweight Python library that helps developers author reliable feature engineering and machine learning pipelines by defining data transformations as directed-acyclic graphs (DAGs). It simplifies the creation of complex data processing workflows, ensuring clarity and maintainability.
Key differentiator
“Hamilton stands out by providing a lightweight, Python-based approach to defining complex data transformations as DAGs, focusing on clarity and maintainability in feature engineering and machine learning pipelines.”
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Who is it for?
✓ Best for
Developers who need to create clear and maintainable data processing pipelines.
Data science teams working on feature engineering for machine learning models.
✕ Not a fit for
Projects requiring real-time streaming data processing (Hamilton is batch-oriented).
Teams looking for a fully managed service solution.
Cost structure
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Next step
Get Started with Hamilton
Step-by-step setup guide with code examples and common gotchas.