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Adds incubating to main.md
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<a href="https://pepy.tech/project/sf-hamilton" target="_blank"><img src="https://static.pepy.tech/badge/sf-hamilton/month" alt="Total Monthly Downloads"/></a>
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</div>
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Apache Hamilton is a general-purpose framework to write dataflows using regular Python functions. At the core, each function defines a transformation and its parameters indicates its dependencies. Apache Hamilton automatically connects individual functions into a [Directed Acyclic Graph](https://en.wikipedia.org/wiki/Directed_acyclic_graph) (DAG) that can be executed, visualized, optimized, and reported on.
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Apache Hamilton (incubating) is a general-purpose framework to write dataflows using regular Python functions. At the core, each function defines a transformation and its parameters indicates its dependencies. Apache Hamilton automatically connects individual functions into a [Directed Acyclic Graph](https://en.wikipedia.org/wiki/Directed_acyclic_graph) (DAG) that can be executed, visualized, optimized, and reported on.
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Apache Hamilton also comes with a [UI](hamilton-ui/index.rst) to visualize, catalog, and monitor your dataflows.
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```{figure} ./_static/abc.png
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The ABC of Apache Hamilton
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```
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# Why should you use Apache Hamilton?
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# Why should you use Apache Hamilton (incubating)?
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**Facilitate collaboration**. By focusing on functions, Apache Hamilton avoids sprawling code hierarchy and generates flat dataflows. Well-scoped functions make it easier to add features, complete code reviews, debug pipeline failures, and hand-off projects. Visualizations can be generated directly from your code to better understand and document it.
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Integration with the [Apache Hamilton UI](hamilton-ui/index.rst) allows you to track lineage, catalog code & artifacts, and monitor your dataflows.
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