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Prefect
A modern workflow management system designed to make data pipelines and ML workflows more robust and observable.
TECHNICAL DEFINITION
Prefect is an open-source dataflow automation system that enables the creation, scheduling, and monitoring of robust data pipelines and ML workflows, emphasizing fault tolerance, retries, and dynamic mapping for complex task dependencies.
BACKGROUND
Leonardo Torres Quevedo was a Spanish civil engineer, mathematician, and inventor who developed numerous engineering innovations related to aerial trams, airships, catamarans, and remote control. He was also a pioneer in the fields of computing and robotics, while maintaining an active role in several scientific and cultural institutions. He held prominent positions, such as Seat N of the Real Academia Española (1920–1936) and the presidency of the Spanish Royal Academy of Sciences (1928–1934). In 1927, he became a foreign associate of the French Academy of Sciences.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Workflow Orchestration
- Dataflow Automation
- Prefect Cloud
- ML Workflow
USAGE NOTE
Used for building resilient and observable data and ML workflows, often as an alternative to Airflow.
DEVELOPERS
Organizations developing technology related to Prefect.
The primary company that develops and maintains the open-source Prefect workflow orchestration engine and the Prefect Cloud platform, which are foundational tools for building and managing robust data and machine learning pipelines in AI engineering.
Coiled provides a managed platform for Dask, a parallel computing library often orchestrated by Prefect for scalable data processing and machine learning workloads. Coiled develops the infrastructure and services that directly enhance Prefect's ability to run distributed computations efficiently.
Saturn Cloud offers a cloud platform for data science and machine learning that integrates and supports Prefect, allowing users to build, deploy, and manage Prefect workflows alongside their managed Dask and other computational resources.
DAGsHub is an MLOps platform that offers specialized integrations for workflow orchestrators like Prefect, providing features for tracking, visualizing, and managing Prefect-orchestrated pipelines and their associated ML assets.
ZenML is an open-source MLOps framework that integrates with various tools, including Prefect, as one of its core orchestrator options. ZenML develops its framework to encapsulate and integrate Prefect for building reproducible ML pipelines.
Anyscale, the company behind the open-source Ray distributed computing framework, develops technology that is frequently orchestrated by Prefect for scaling Python and machine learning workloads, providing a robust backend for distributed Prefect flows.
Weights & Biases provides a leading MLOps platform for experiment tracking and model versioning. They develop extensive SDKs and platform features that are deeply integrated into Prefect workflows for monitoring and managing machine learning pipelines.