Show HN: Lythonic -- Compose Python functions into data-flow pipelines¶
April 13, 2026
TDLR¶
v0.0.14 is out and I think I got something 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.
It is dataflow. So theoretically you can compose it with pure functions only. Lythonic requires annotations for params and returns to wire up outputs with inputs. All data saved in SQLite as JSON for now, and it would work for some amount of data ok.
You may use it as task flow keeping params and returns empty and maintaining all data outside of the flow.
But practically you may do well with some middle ground, just flow metadata through, enough to make your function calls reproducible and keep some system of records that you can query reliably.
Prepping for v0.1. Looking for feedback.