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PrefectHQ/prefect

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

Healthy

Healthy across all four use cases

HealthyDependency

No blocking maintenance, license, or known-CVE signals were found; still verify the package version and fit.

HealthyFork & modify

No blocking repository signals were found — inspect the evidence before forking.

HealthyLearn from

Documented and popular — useful reference codebase to read through.

HealthyDeploy as-is

No blocking repository-level signals were found; deployment review is still required.

  • ✓Last commit today
  • ✓25+ active contributors
  • ✓Distributed ownership (top contributor 34% of recent commits)
  • ✓Apache-2.0 licensed
  • ✓CI configured
  • ✓Tests present

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

Informational only. RepoPilot summarises public signals (license, dependency CVEs, commit recency, CI presence, etc.) at the time of analysis. Signals can be incomplete or stale. Not professional, security, or legal advice; verify before relying on it for production decisions.

Repository brief

Repo brief: PrefectHQ/prefect

Generated by RepoPilot · document generated 2026-09-17 · concise human review Evidence snapshot · analyzed 2026-09-17T03:13:58.253Z · commit 8396d0cf7072

Verdict

Healthy — Healthy across all four use cases

  • Last commit today
  • 25+ active contributors
  • Distributed ownership (top contributor 34% of recent commits)
  • Apache-2.0 licensed
  • 2 more receipts on the live page

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

What it is

Prefect is a Python workflow orchestration framework that transforms scripts into production-ready data pipelines with built-in scheduling, caching, retries, and event-based automation. It provides a declarative API for composing resilient dataflow DAGs that can be monitored via a self-hosted server or managed Prefect Cloud instance. The core engine is written primarily in Python (~24M LoC) with TypeScript/Vue frontends for the UI layer. Monorepo structure with src/prefect as the core engine, src/integrations/ housing vendor-specific packages like prefect-aws (which contains its own Python module, CLI tools, deployment orchestration, and CDK infrastructure). The prefect-aws integration…

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Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

To clone and inspect locally: git clone https://github.com/PrefectHQ/prefect.git && cd prefect. Check repository root for pyproject.toml or setup.py to confirm Python package manager. Based on the TypeScript/Vue front…

Daily commands:

Verify the root setup.py or pyproject.toml exists before running. For development: pip install -e . in the root. For frontend (infra/): npm install && npm run dev (inferred from package.json presence). To start a lo…

…shortened for this brief.

Key cautions & unknowns

  • AWS credentials must be configured (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY or IAM role) before AWS integration tasks can run. CDK infrastructure assumes an AWS account and permissions to create EC2, ECS, Lambda,…
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.

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