Downloads9.7M/30d
Tracked on PyPI
Workflow orchestration framework for data and ML pipelines
AI InfrastructureFounded 2018Ranked #15 of 265 in Developer Adoption
Latest metrics
Downloads9.7M/30d
Tracked on PyPI
Projects using this318
Projects depending on this on PyPI
GitHub stars22.2K
Main repository stars
Sources PyPI registry · GitHub · public code imports · developer discussion · distribution surfaces · recent company news·Methodology
Lead signals
Strongest current signal
9.7M/30d
Tracked on PyPI
Supporting signals
Projects depending on this on PyPI
318
Main repository stars
22.2K
Ranked #31 in category discussion
6/30d
Underlying data
Historical charts and technical context
12 months across 8 public signals · 4 repo health signals · code usage across 767 repos
Maintenance signals from the main open-source repository.
Public repositories and source files importing packages tied to Prefect.
Reference
Background and reference details
Founded 2018 · Series B ($46M) · 1 category · 2 tools · 20 pricing snapshots
Prefect provides an open-source workflow orchestration framework that helps data engineers and scientists build, run, and monitor complex data and machine learning pipelines. It aims to make dataflow reliable by offering tools for scheduling, logging, retries, and error handling, significantly improving the robustness and observability of MLOps workflows.
Raised $46M total. AI-Buzz tracks some developer-adoption evidence here, but the primary category cohort is still too thin for a stable public DAI rank.
Tiger Global
Positive Sum
Harrison Metal
Workflow orchestration framework for data and ML pipelines
A managed service that provides enhanced features, collaboration tools, and observability for Prefect workflows in a hosted environment.
Public pricing snapshots collected for Prefect
Source: Company pricing pageUpdates: WeeklyNote: Extracted via automated page analysis; verify on sourceMethodology →Raw history across the tracked public signals for Prefect.
Select signals to compare
Compare weekly public signals for Prefect. Each chip adds or removes one line from the chart.
Showing % change from the start of the selected period because the selected signals live on very different scales.
| Date | PyPI Downloads | GitHub contributors | Public repos importing this |
|---|---|---|---|
| Mar 20, 2026 | 2.1M | 2 | 767 |
| Mar 27, 2026 | 2.3M | 3 | 767 |
| Apr 3, 2026 | 2.2M | 1 | 767 |
| Apr 10, 2026 | 2.3M | 3 | 767 |
| Apr 17, 2026 | 1.5M | 6 | 767 |
| Apr 18, 2026 | 358.8K | 7 | 767 |