Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
The week focused on stability improvements across the platform. The task engine now applies retry jitter factor correctly, a cron schedule help text bug was corrected to prevent user confusion, and flow run parameter handling was fixed to properly unwrap field defaults. A batch of dependency updates…
Get this in your inbox every Monday →A deterministic 0–100 hygiene score — README, license, CI, tests, docs, and freshness.
Who ships this repo — author concentration and the bus factor across the last 300 mainline commits.
How welcoming this repo is to contributors — issue throughput, close time, responsiveness, and good-first-issue count.
What this project is built on — dependency count by ecosystem, the license mix, and anything worth a legal look before you adopt it.
Whether this project's CI can be trusted — pass rate, run times, flaky runs, and which workflow is the weak link.
Grounded in prefect's README, structure, and recent commits — answers won't invent code they haven't seen.
A Monday email with what shipped, in plain English — no account needed.
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Add opt-in POSIX paths to filter_files while preserving the native default (#23292)
docs: document worker healthcheck maintenance contract in AGENTS.md (#23312)
Reload collections when a worker type is missing after install (#23237)
Keep event persister periodic flush alive when the database raises `CancelledError` (#23308)
Keep the worker healthcheck healthy while the API is in maintenance (#23230)
Don't reschedule a flow run the server already finished on SIGTERM (#23244)
A floor, not a guess: counts only commits whose author, co-author trailer, or message explicitly credits an AI tool (Claude, Copilot, Cursor, aider, Codex…). Based on 30 mainline commits. Unattributed AI code isn't counted here — the full audit estimates that separately.