Lythonic – Compose Python functions into data-flow pipelines

What it does

Lightweight pythonic toolkit for building complex workflows. - walnutgeek/lythonic

Compose Python logic into data-flow pipelines — sync or async, run anywhere. Write plain Python functions. Wire them with >> . Data flows visibly between nodes — you can see what went in, what came out, what failed. Unlike task schedulers where jobs are opaque units, lythonic tracks the data itself. uv add lythonic from lythonic . compose . namespace import Dag def fetch ( url : str ) -> dict : return { "source" : url , "values" : [ 1 , 2 , 3 ]} def double ( data : dict ) -> dict : return { ** data , "values" : [ v * 2 for v in data [ "values" ]]} dag = Dag () dag . node ( fetch ) >> dag . node ( double ) # Run it — sync or async, doesn't matter import asyncio result = asyncio . run ( dag (…from github.com

In the maker’s words, at launch

I was thinking about something like this for years, few trys before this. Started this repo last year and I think I got something that usable now. Async framework, mix sync/async python functions, compose them into DAGs, run them, schedule them, persist data between steps or let it flow just in memory. GitHub…

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