ms_flow
In-process, desktop-first, domain-agnostic orchestrator for massive data flows: jobs, executors and persistence in the same process as your app — no broker, no daemon, no server. Works from a Qt app, a notebook or a plain script.
from ms_flow.api import MolSuite, table_sink
from workers import double_value # el handler vive en un modulo importable
ms = MolSuite(app_id="demo")
ms.create_or_open_project(name="demo", folder="./demo_project", activate=True)
job_id = ms.run(
name="double_values",
input=[{"value": v} for v in range(1000)],
process=double_value,
output=table_sink("results", columns=("value", "double_value")),
executor="thread",
)
print(ms.wait_for_job(job_id).status)
Install
pip install ms_flow # core: control plane + SQLite + loky
pip install "ms_flow[ray]" # Ray executor
Where to look
- 5-minute quickstart — first working job.
- Runnable examples — scripts y notebook.
- Public API — API.
- Docs index — guides, contracts, operation
- Benchmarks — performance.
Status
Beta. The public API (ms_flow.api) is the stable surface; ms_flow.core.* may change without notice.
License
MIT — see LICENSE.
1 maintainer
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