Kedro

Kedro is an open-source Python framework for building reproducible, maintainable, and modular data science and machine learning pipelines. It helps teams structure data projects following software engineering best practices, ensuring scalability, collaboration, and production readiness.

Features of Kedro:

• Structured project templates for consistent and maintainable pipelines.
• Modular pipeline architecture with nodes and data catalogs.
• Integration with modern Python tools like Jupyter, MLflow, and Prefect.
• Support for versioned data management and reproducible workflows.
• Configurable and extensible to support various data sources and environments.
• Built-in testing and logging for reliable production pipelines.
• Facilitates collaboration between data scientists, engineers, and analysts.
• Production-ready and widely adopted in enterprise data projects.

KEDRO Usage:

$ sudo su
$ cd /opt
$ source /opt/kedro-env/bin/activate
$ kedro --version
  

Disclaimer: Kedro is open-source software distributed under the Apache 2.0 License. It is independently developed and maintained by the Kedro open-source community. The software is provided "as is," without warranties or guarantees of any kind. Users are responsible for ensuring proper usage and compliance with applicable licenses and regulations.