Astronomer
Managed Apache Airflow service for orchestrating and monitoring data pipelines in the cloud
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Pythonic workflow engine for resilient, observable data pipelines
Prefect lets Python developers turn scripts into production‑grade data pipelines with scheduling, retries, caching, and a visual UI, available via self‑hosted server or managed Cloud.
Prefect is a Python‑first workflow orchestration framework that transforms ordinary scripts into production‑ready data pipelines. By decorating functions with @flow and , developers gain built‑in scheduling, retries, caching, and event‑driven execution while retaining a familiar code style.
@taskThe platform offers a visual UI for monitoring and debugging, which can run locally via prefect server start or be accessed through the managed Prefect Cloud service. Teams can create deployments that run on cron schedules, respond to external events, or be triggered manually from the UI or CLI. Integration hooks let you connect to existing data tools, and the lightweight prefect-client library enables remote interactions from ephemeral environments.
Prefect is backed by an active community of over 25,000 practitioners and a growing ecosystem of integrations. The Apache‑2.0 license allows you to extend the core engine, contribute plugins, or embed the scheduler in custom environments. Whether you run a single‑node ETL job or a fleet of distributed pipelines, Prefect scales from local development to enterprise‑grade workloads.
When teams consider Prefect, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Daily ETL job
Automates extraction, transformation, and loading of data each night with retries and monitoring.
Model training pipeline
Orchestrates data preprocessing, model training, and evaluation, scaling across multiple workers.
Event‑driven data sync
Triggers a flow when a new file lands in cloud storage, ensuring downstream systems stay up‑to‑date.
Scheduled reporting
Generates and distributes business reports on a cron schedule, with caching to avoid redundant work.
Prefect requires Python 3.9 or newer.
Prefect Cloud is a managed SaaS offering with hosted UI and additional features, while the self‑hosted server lets you run the orchestration stack on your own infrastructure.
Yes, the lightweight `prefect-client` library provides remote interaction capabilities for environments where the full SDK isn’t needed.
Tasks can be configured with automatic retries, exponential backoff, and custom error handling logic.
Project at a glance
ActiveLast synced 4 days ago
