Kedro
An open-source framework for data science code.
Best Kedro Alternatives & Competitors in 2025
The best Kedro alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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Framework for real-life data science; build, improve, and operate end-to-end workflows.
Key Metaflow features:
Ease of Use Scalability Versioning Integration with Popular Tools
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Prefect offers modern workflow orchestration tools for building, observing & reacting to data pipelines efficiently.
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All-in-one work management platform for team collaboration. .
Key Flowlu features:
Project Management Task Management Time Tracking Invoice Management
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Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Key Apache Airflow features:
Scalability Extensibility Visualization Flexibility
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The cloud-native open source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.
Key Dagster features:
Modular Design Type Safety Integrated Scheduler Rich Metadata
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Luigi is a Python module that helps you build complex pipelines of batch jobs.
Key Luigi features:
Scalability Task Dependencies Integration Visualization
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Open-source data pipeline tool for transforming and integrating data.
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Capture every user event and route them anywhere. Automatically.
Key Astronomer features:
Managed Airflow Integration and Extensibility User-friendly Interface Scalability
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An easy to use, powerful, and reliable system to process and distribute data.
Key Apache NiFi features:
User-Friendly Interface Extensive Connector Support Real-time Data Processing Scalability
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An open-source framework that enables anybody to create their own data pipelines, with: - Data SDK for the automation of data extraction, transformation, and loading.
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Apache Oozie Workflow Scheduler for Hadoop.
Key Apache Oozie features:
Integration Flexibility Extensibility Dependency Management
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Visual, intuitive, and interactive data exploration platform.
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AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows.
Key AWS Step Functions features:
Orchestration Visual Workflow Error Handling Scalability
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Application and Data, Data Stores, and Big Data Tools.
Key Delta Lake features:
ACID Transactions Time Travel Scalability Schema Evolution