Opik helps debug, evaluate, and monitor LLM applications, RAG systems, and agent workflows with tracing and evaluations.
Open source
24 alternativesAirflow
Platform created by the community to programmatically author, schedule and monitor workflows.
About Airflow
Apache Airflow is a community-created platform to programmatically author, schedule and monitor workflows. Pipelines are defined in Python, which supports dynamic task generation, scheduling with date-time formats, and parametrization with Jinja templating.
It includes a web application to schedule workflows and view status and logs, support for custom operators and library extensions, and operators for running tasks on Google Cloud Platform, Amazon Web Services, Microsoft Azure and other third-party services. Use requires Python knowledge.
Key features
- Define and generate workflows programmatically in Python
- Schedule workflows with Python date-time formats
- Monitor task status and logs via web application
- Parametrize pipelines using Jinja templating engine
- Create custom operators and extend libraries
- Run tasks on GCP, AWS, Azure and other services
Best for: People with Python knowledge who need to author, schedule and monitor data or infrastructure workflows.
Good for
- Workflows use standard Python features instead of XML or command-line setup
- Web application shows status and logs for completed and ongoing tasks
- Includes operators for Google Cloud Platform, Amazon Web Services and Microsoft Azure
Watch out for
- Requires Python knowledge to deploy a workflow
Airflow at a glance
- Website
- airflow.apache.org
- Category
- AI & Machine Learning › AI Agents & Automation
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Airflow FAQ
What can Airflow be used for?
Building ML models, transferring data, managing infrastructure, and more.
Which external services can it run tasks on?
Google Cloud Platform, Amazon Web Services, Microsoft Azure and many other third-party services.
How are pipelines parametrized?
Parametrization is built into its core using the Jinja templating engine.
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