PrefectHQ/prefect
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest today, with 427 contributors on GitHub.
Gained 51% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Orchestrates resilient and dynamic data pipelines in Python with workflow automation features like scheduling, retries, and event-based triggers.
- Enables reliable pipeline execution with built-in error handling, caching, and observability, reducing manual intervention and pipeline failures.
- Use for automating complex data workflows that require dynamic branching and retry logic in data engineering projects.
- Use for monitoring and managing data pipeline executions via a self-hosted server or Prefect Cloud dashboard for improved observability.
- Use for integrating workflow orchestration into machine learning operations to automate model training, evaluation, and deployment pipelines.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Prefect is a workflow orchestration framework for building data pipelines in Python. It's the simplest way to elevate a script into a production workflow. With Prefect, you can build resilient, dynamic data pipelines that react to the world around them and recover from unexpected changes.
With just a few lines of code, data teams can confidently automate any data process with features such as scheduling, caching, retries, and event-based automations.
Workflow activity is tracked and can be monitored with a self-hosted Prefect server instance or managed Prefect Cloud dashboard.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+567 stars over 89 days across 9 snapshot days; best day +11 on Sep 1.
Forks
2.6K+186
Open issues
884+59
Compared with peers in Automation
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 17.0K | +13.3K | 33 | today |
| D4Vinci/Scrapling | 98.1K | +6.9K | 65 | 1 day ago |
| Panniantong/Agent-Reach | 109.3K | +3.0K | 60 | 4 days ago |
| lexmount/moli | 22.7K | +1.2K | 55 | 2 days ago |
| superplanehq/superplane | 8.8K | +435 | 60 | 7 days ago |
| PrefectHQ/prefect | 24.1K | — | 45 | today |
| Category median | 22.7K | +3.0K | 60 | — |
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