Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

experiment-tracking hacktoberfest kedro machine-learning machine-learning-engineering mlops pipeline python
2 Open Issues Need Help Last updated: Sep 24, 2025

Open Issues Need Help

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AI Summary: This GitHub issue requests improved documentation for advanced hook usage, specifically demonstrating how hooks can store state (e.g., `self.my_azure_config`) in one method and access it in another. This pattern allows sharing context between different hook methods, which is particularly useful for migrating projects or customizing pipeline execution.

Complexity: 2/5
Component: Documentation 📄 Issue: Feature Request good first issue Hacktoberfest

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

Python
#experiment-tracking#hacktoberfest#kedro#machine-learning#machine-learning-engineering#mlops#pipeline#python
Help Wanted :pray: Community good first issue Hacktoberfest

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

Python
#experiment-tracking#hacktoberfest#kedro#machine-learning#machine-learning-engineering#mlops#pipeline#python