Mr. Graph – A graph definition and execution library for Python
What: Mr. Graph is a python library designed to make composing graphs of sync and async functions easy! Use google style docstrings to automagically create dataclasses and chain together function calls into graphs. Why: I like the design of Dagster, but not the latency. For apps and systems engineering, sometimes I want to compose a graph out of regular python functions. I don;t need all the heavy machinery that comes with a full workflow engine. Current features: - Use with either async or sync functions - Uses google style doc strings to name return values. - Creates dataclasses for each…
In plain words
Mr. Graph is a Python library for composing graphs of synchronous and asynchronous functions. It uses Google-style docstrings to automatically generate dataclasses and chain function calls into directed acyclic graphs. The library supports linear, fan-in, and fan-out layouts while inferring pipelines from function signatures. It is designed for developers and systems engineers who need lightweight function composition without the overhead of full workflow orchestration engines.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
What: Mr. Graph is a python library designed to make composing graphs of sync and async functions easy! Use google style docstrings to automagically create dataclasses and chain together function calls into graphs. Why: I like the design of Dagster, but not the latency. For apps and systems engineering, sometimes I want to compose a graph out of regular python functions. I don;t need all the heavy machinery that comes with a full workflow engine. Current features: - Use with either async or sync functions - Uses google style doc strings to name return values. - Creates dataclasses for each function's output. - Can infer pipelines from input and output signatures - All directed acyclic graph layouts supported. linear, fan-in, fan- out. Future Features: - Better examples for use with async calls (like LLMs) - Splitting dataclasses, better error handling, logging improvements. This is under active development. Any feedback, interest, or contributions are appreciated. Thanks! github link: https://github.com/mcminis1/mr-graph
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