Prefect
Python-native workflow orchestrator — widely used for ML pipelines and ETL. Prefect Cloud + open-source Prefect Core.
Active · Verified 2026-10-27 · fresh as of 2026-10-27 · 21 cited facts, 3 with a third-party source · 1 recorded change · Suggest a correction
At a glance
- Type
- Workflow orchestration vendor fix
- Tier
- T1
- Section
- Training infrastructure
- Latest release
- v3.9.0 (2026-10-21) — prefect registry fix
- License
- Apache-2.0 vendor fix
- Funding
- $92.6M total raised through Series B 2022-03 ($32M, Tiger Global led; total $42M including earlier rounds). third-party fix
- Freshness
- 2026-10-27 fix
- Layer
- model-infra repo fix
- Developer activity
- OpenRank 18.42 (12-mo avg 25.21) · 102 participants — 2026-09 third-party fix
When to use
Optimised for: searched not found
Anti-fit: searched not found
Pros & cons
Pros
searched not found
Cons
searched not found
Claims & capabilities
$32M Series B 2022.
Technical surface
- API surface
- Python SDK
- Backend storage
- searched not found
- Deployment
- Both (self-hosted + managed cloud) — OSS server or Prefect Cloud
- Embedding model
- not applicable — not a memory product
- Multi-tenancy
- searched not found
- MCP
- searched not found
- A2A
- searched not found
- OpenTelemetry
- searched not found
Similar systems
Other training infrastructure in the catalog, ranked by inbound references.
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- AWS SageMaker T1
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- Weights & Biases T1
Experiment-tracking and ML-ops platform (metrics, artifacts, sweeps, Weave tracing/evals). Acquired by CoreWeave (completed 2025-05-05, ~$1.7B); now part of CoreWeave Forge.
- Comet ML T2
ML experiment tracking + LLM evaluation platform (Opik for LLM eval). Comet competes head-to-head with Weights & Biases.
- Azure Machine Learning T1
Microsoft Azure's managed ML platform — pipelines, AutoML, Designer, prompt flow (LLM). Heavy integration with Azure OpenAI and Azure AI Studio.
- LoRA T3
Microsoft Research's Low-Rank Adapters method — trains rank-r matrices added to attention weights; 10000x parameter reduction. Foundation of all adapter-style fine-tuning.
Sources (20 cited facts, 3 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Workflow orchestration vendor
- What it does & what's distinct Python-native workflow orchestrator — widely used for ML pipelines and ETL. Prefect Clou… vendor
- Claims / benefits $32M Series B 2022. vendor
- Created 2018 repo
- Latest release v3.9.0 (2026-10-21) — prefect registry
- License Apache-2.0 vendor
- GitHub PrefectHQ/prefect — ~24.1k stars, last commit 2026-10 repo
- Funding $92.6M total raised through Series B 2022-03 ($32M, Tiger Global led; total $42M includi… third-party
- Customers / scale ClearCover, NASA Goddard, Bain, Cash App, Washington Post; Apache-2.0 OSS used broadly. vendor
- Pricing Prefect Cloud: Hobby free; Starter $100/mo; Team $100/user/mo; Enterprise custom vendor
- Deployment Both (self-hosted + managed cloud) — OSS server or Prefect Cloud vendor
- HQ Washington, DC, USA (remote-first). third-party
- Founders / pedigree Jeremiah Lowin (CEO); founded 2018 (ex-Apache Airflow contributor). vendor
- Code/weights release Active — last commit 2026-05 · 22,380★ repo
- API surface Python SDK registry
- architecture-deployment-locus hybrid vendor
- licensing-bucket open-core vendor
- positioning-platform-vs-product platform vendor
- taxonomy-three-layer-rollup model-infra repo
- developer-activity-opendigger {"activity":267.66,"as_of":"2026-09","openrank_12mo":25.21,"openrank_current":18.42,"par… third-party
What changed
Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)
- 2026-10-27
- Latest release first recorded as “v3.9.0 (2026-10-21) — prefect” source
- Pricing first recorded as “Prefect Cloud: Hobby free; Starter $100/mo; Team $100/user/mo; Enterprise custom” source
- Deployment first recorded as “Both (self-hosted + managed cloud) — OSS server or Prefect Cloud” source
Related systems
Referenced by (1)
- Pydantic-AI integrates with — Pydantic AI docs have a Prefect durable execution integration page. (verified 2026-10-29)