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Kedro

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Kedro

Free

Open-source Python framework; install with pip or conda

Every plan, in full

On the record

Data catalog
The Data Catalog connects to S3, GCP, Azure, sFTP, DBFS, and local filesystems, and supports formats and tools including Pandas, Spark, and Dask.kedro.org · read 2 Oct 2026
Deployment
Kedro documents single-machine and distributed deployment, with targets including Prefect, Kubeflow, AWS Batch, SageMaker, Databricks, and Dask.kedro.org · read 2 Oct 2026
IDE support
The Kedro extension for Visual Studio Code provides enhanced code navigation and autocompletion.kedro.org · read 2 Oct 2026
Install
Kedro can be installed with pip or conda.kedro.org · read 2 Oct 2026
Integrations
Listed integrations include Amazon SageMaker, Apache Airflow, Apache Spark, Azure ML, Dask, Databricks, Docker, Jupyter Notebook, Kubeflow, MLflow, and VertexAI.kedro.org · read 2 Oct 2026
Pipeline structure
Its dataset-driven workflow automatically resolves dependencies between pure Python functions.kedro.org · read 2 Oct 2026
Project template
Kedro provides an adaptable project template for organizing configuration, source code, tests, documentation, and notebooks.kedro.org · read 2 Oct 2026
Security model
Kedro describes itself as a code authoring framework and says project code runs as normal Python with the permissions of its deployment environment.docs.kedro.org · read 2 Oct 2026
Support
The project points users to its community on Slack for technical questions and provides documentation and tutorials.github.com · read 2 Oct 2026
Versioning
The Data Catalog includes data and model snapshots for file-based systems.kedro.org · read 2 Oct 2026
Visualization
Kedro-Viz displays data lineage and pipeline details such as execution time, node status, and dataset statistics.kedro.org · read 2 Oct 2026
What it does
Kedro is an open-source Python framework for building production-ready data engineering and data science pipelines.kedro.org · read 2 Oct 2026
Who it is for
Kedro is aimed at data scientists, machine-learning engineers, data engineers, and teams building data pipelines.kedro.org · read 2 Oct 2026

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