Hamilton is a lightweight in-process framework to define, execute, and observe directed acyclic graphs (DAGs) that express data transformations. In Hamilton, one can express complex DAGs of transformations, e.g. from dataframe transformations (using pandas, polars, PySpark), machine learning pipelines, through to regular software engineering API request and LLM API based workflows. Observability hooks are built into the framework. The Hamilton UI is a self-hostable service to capture observability output from workflow runs.
Resources: hamilton
Started: 2025-04-12; Last Status Update: 2025-05-24
Reporting: Monthly
Committers: 8
All Committers are PPMC members
Mentors: Kevin Ratnasekera (djkevincr), Ayush Saxena (ayushsaxena), PJ Fanning (fanningpj)
2025-04-12 Project enters incubation.
2025-04-12 Mailing lists were requested through self-service portal.
2025-04-16 Mailing lists were created.
Developer mailing list: http://mail-archives.apache.org/mod_mbox/hamilton-dev
Commits mailing list: http://mail-archives.apache.org/mod_mbox/hamilton-commits
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