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 (DAG) that can be executed, visualized, optimized, and reported on. Apache Hamilton also comes with a UI to visualize, catalog, and monitor your dataflows.

Apache Hamilton (incubating)

# HamiltonGraphAdapter

Graph adapters control how functions are executed as the graph is walked.

class hamilton.base.HamiltonGraphAdapter[\[source\]](https://hamilton.apache.org/_modules/hamilton/base/#HamiltonGraphAdapter)

Legacy graph adapter – see lifecycle methods for more information.

HamiltonGraphAdapter

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SimplePythonDataFrameGraphAdapter

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h_async.AsyncGraphAdapter

h_threadpool.FutureAdapter

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h_dask.DaskGraphAdapter

h_spark.PySparkUDFGraphAdapter

h_ray.RayGraphAdapter

h_spark.SparkKoalasGraphAdapter

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lifecycle.LegacyResultMixin

lifecycle.api.GraphAdapter

lifecycle.NodeExecutionHook

lifecycle.api.GraphExecutionHook

lifecycle.api.EdgeConnectionHook

lifecycle.api.NodeExecutionMethod

lifecycle.api.StaticValidator

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plugins.h_tqdm.ProgressBar

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lifecycle.FunctionInputOutputTypeChecker

plugins.h_slack.SlackNotifier

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plugins.h_spark.SparkInputValidator

plugins.h_narhwals.NarwhalsAdapter

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HamiltonGraphAdapter

HamiltonGraphAdapter

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