This is the Linux app named Hamilton DAGWorks whose latest release can be downloaded as v1.89.0-incubatingapache-hamiltonreleasesourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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Hamilton DAGWorks
DESCRIPTION
Hamilton is a lightweight Python library for directed acyclic graphs (DAGs) of data transformations. Your DAG is portable; it runs anywhere Python runs, whether it's a script, notebook, Airflow pipeline, FastAPI server, etc. Your DAG is expressive; Hamilton has extensive features to define and modify the execution of a DAG (e.g., data validation, experiment tracking, remote execution). To create a DAG, write regular Python functions that specify their dependencies with their parameters. As shown below, it results in readable code that can always be visualized. Hamilton loads that definition and automatically builds the DAG for you. Hamilton brings modularity and structure to any Python application moving data: ETL pipelines, ML workflows, LLM applications, RAG systems, BI dashboards, and the Hamilton UI allows you to automatically visualize, catalog, and monitor execution.
Features
- Documentation available
- Examples available
- Separation of concerns
- Effective collaboration
- Low-friction dev to prod
- Maintainable DAG definition
- Built-in coding style
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/hamilton-dagworks.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
