Apache Airflow is a platform to programmatically author, schedule and monitor workflows.
Open-source
Best Kedro Alternatives ranked by AI · updated Aug 2026
Kedro is an open-source Python framework for creating maintainable, modular, and reproducible data science and machine learning pipelines. It is intended for teams that need software engineering structure around experimentation and production handoff.
Top 6 Kedro alternatives
Mage is a browser-based AI image-generation platform supporting multiple generative models and image workflows. It targets creators who want fast experimentation with...
Pros
- Broader model selection than UncutAI
- Supports both image generation and image-to-image workflows
- Browser-based workflow requires no local GPU
Cons
- Free usage can be limited by queues or credits
- Results vary considerably between models
- Advanced controls can be less intuitive than dedicated local interfaces
Freemium, paid plans available
Luigi is a workflow automation tool that helps in building complex pipelines of batch jobs. It simplifies the orchestration of machine learning...
Free and Open Source
Ploomber is an open-source framework for building, testing, and deploying data pipelines in Python, SQL, and notebooks. It is aimed at data...
Pros
- Strong support for Python, SQL, and Jupyter notebooks in one pipeline
- Reproducible execution with dependency tracking and incremental builds
- Lower operational overhead than self-managed Airflow for small teams
Cons
- Smaller ecosystem and community than Airflow or Prefect
- Less mature enterprise governance than leading orchestration platforms
- Notebook-centric workflows can become difficult to maintain at large scale
Free, open source; paid cloud plans
Dagster is an open-source data orchestrator with a hosted Dagster+ offering for deployment, monitoring, and collaboration. It targets data and machine learning...
Pros
- Asset-oriented programming gives clearer dependencies than traditional Airflow DAGs
- Strong local development, testing, and observability experience
- Open-source core avoids dependence on a single hosted platform
Cons
- Requires more migration work from Airflow-based Datacoves stacks
- Smaller ecosystem and community than Airflow
- Does not bundle Superset and other data-stack services
Free open source; hosted plans available
6
Prefect is a workflow automation tool built for simplicity and reliability.
Pros
- Intuitive API
- Built-in monitoring
Cons
- Less mature than Airflow
- Limited integrations
Free tier available, paid plans
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