Kedro
A toolbox for production-ready data pipelines
Kedro is an open-source Python framework hosted by the Linux Foundation. It uses software engineering best practices to help build production-ready data engineering and data science code.
| Best for | Data engineering and data science teams |
| Website | kedro.org |
Company facts
| Social profiles | YouTube |
Facilities and features
- Integrations
What stands out
Kedro supports automatic resolution of dependencies between pure Python functions.
“You never have to label the running order of tasks in your pipeline because Kedro supports a dataset-driven workflow that supports automatic resolution of dependencies between pure Python functions.”Kedro, own website
The product provides a Data Catalog supporting various file formats and cloud systems.
“A series of lightweight data connectors used to save and load data across many different file formats and file systems.”Kedro, own website
Strengths and trade-offs
- Kedro supports automatic resolution of dependencies between pure Python functions.
- The product provides a Data Catalog supporting various file formats and cloud systems.
Appears in
How Kedro ranks
#9 in Open-source data science platforms
How the score is made up: Evidence on its own site 20; How complete its published information is 14; Fit to this ranking's criteria 40; Buying information on its own site 8.
“Kedro is the foundation for clean data engineering and data science code.”Kedro, own website
“Kedro is an open-source Python framework hosted by the Linux Foundation ( LF AI & Data ).”Kedro, own website
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Questions about Kedro
Who is Kedro best for?
Kedro is best for data engineering and data science teams.
Where does Kedro rank?
Kedro is ranked #9 in Open-source data science platforms (Lister Score 82.0).
What are the best alternatives to Kedro?
The closest alternatives on Lister are IOMETE (#1 in Open-source data science platforms), Hopsworks (#2 in Open-source data science platforms) and Knime Analytics Platform (#3 in Open-source data science platforms).
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