No. 18 of 36 ·Data Version Control Tools

Kedro

Linux · Self-hosted

Freedom report

Two barsScore 6.3

Free tierA free tier is on its own pricing page
Open codeNo open-source code on record
Runs widely1 of 6 device platforms
DocumentedPlans, terms and facts published

Kedro is ranked #18 of 36 in data version control tools on Freedom251. It runs on Linux, Self-hosted. There is a free plan.

Kedro plans and pricing

All plans

Kedro Free Open-source Python framework; install with pip or conda kedro.org · 2 Oct 2026

Compared on data version control tools

Free plan: Yes
Deployment model: self_hosted
Transformation interface: code
Supported data formats: CSV, Excel, Parquet, Feather, HDF5, JSON, SQL tables, SQL queries, Spark DataFrames, XML, Delta tables, Pickle
Version control: Yes
Data quality checks: Yes

Best Kedro alternatives

See all 20

Two bars Weights & Biases Free tier No. 1$60/mo6.7 Two bars Apache Paimon Free tier No. 2Free6.6 Two bars ClearML Free tier No. 3$15/mo6.6 Two bars Dolt Free tier No. 4$5/mo6.6 Two bars Neon Free tier No. 5$0.11/mo6.6 Two bars Nile Free tier No. 6Free6.6

The record

What it does: Kedro is an open-source Python framework for building production-ready data engineering and data science pipelines.
Who it is for: Kedro is aimed at data scientists, machine-learning engineers, data engineers, and teams building data pipelines.
Pipeline structure: Its dataset-driven workflow automatically resolves dependencies between pure Python functions.
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.
Versioning: The Data Catalog includes data and model snapshots for file-based systems.
Visualization: Kedro-Viz displays data lineage and pipeline details such as execution time, node status, and dataset statistics.
Integrations: Listed integrations include Amazon SageMaker, Apache Airflow, Apache Spark, Azure ML, Dask, Databricks, Docker, Jupyter Notebook, Kubeflow, MLflow, and VertexAI.
Project template: Kedro provides an adaptable project template for organizing configuration, source code, tests, documentation, and notebooks.
IDE support: The Kedro extension for Visual Studio Code provides enhanced code navigation and autocompletion.
Deployment: Kedro documents single-machine and distributed deployment, with targets including Prefect, Kubeflow, AWS Batch, SageMaker, Databricks, and Dask.
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.
Support: The project points users to its community on Slack for technical questions and provides documentation and tutorials.
Install: Kedro can be installed with pip or conda.
Price from: Free

Where it ranks on Freedom251

Best Data Version Control Tools in 2026#18 of 36
Best Data Transformation Tools in 2026#13 of 36

Is Kedro yours?

Claim it for free: prove the domain, then correct facts, plans and screenshots. An editor reviews every change.

Claim it free Promote Kedro

Sources

kedro.org· checked 2 Oct 2026
docs.kedro.org/en/1.6.0/about/security_model/· checked 2 Oct 2026
github.com/kedro-org/kedro· checked 2 Oct 2026