Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
github.com/prefecthq/prefectIndexed at b749a67Up to date with upstream
This repository is a full-stack orchestration platform: it ingests workflow definitions and runtime events through the Python server/CLI and integration modules, transforms them into persisted orchestration state (flow runs, task runs, artifacts, logs, and events) via server APIs and worker execution, and outputs a running control plane exposed through REST endpoints plus two web UIs (`ui` and `ui-v2`) for monitoring and managing executions.
Written by gpt-5.4-nano from the index
4,839 files and 36,096 symbols in 14 modules, led by Python (1,863 files) and TypeScript (1,574).
Code health
This codebase scores 7.6 out of 10 for code health, which we rate good. It also scores maintainability 7.9 and static performance 9.8 out of 10. The three are scored separately and never blended into one number. Risk is concentrated, as it usually is: 73 of 4,839 files are git hotspots, and they average 3.9 — which is where the fixes pay off most.
On the leaderboards:#1 of 3 Workflow orchestrators#8 of 44 Python repos
4 things worth doing this quarter.
Break up safe_load_namespace (CCN 32, 118 lines)
src/prefect/utilities/importtools.py:441
safe_load_namespace nests its control flow deeply, and part of it is duplicated, so splitting it also removes a copy; changed 1 time in 90 days.
Flatten the nesting in bulk_create_flow_runs_from_deployment
src/prefect/server/api/deployments.py:1038
bulk_create_flow_runs_from_deployment nests its control flow deeply, and part of it is duplicated, so splitting it also removes a copy; changed 1 time in 90 days.
Delete 173 unused symbols and files (7,506 lines)
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[](https://repowise.dev/repo/prefecthq/prefect?src=badge_card)Prefect is a workflow orchestration framework for building resilient data pipelines in Python. This page is a map of the prefecthq/prefect repository, written primarily in Python, rebuilt from the source each time it is indexed. Repowise parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the architectural decisions into documentation you can read here or query through MCP.
The codebase has 4,839 files and 36,096 symbols in 14 modules, led by Python, TypeScript and Shell. Code health is 7.6 out of 10, rated good.
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