{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/2"}],"enrichment":{"capability":"Kedro is a Python framework for building production-ready data engineering and data science pipelines with automatic dependency resolution, data catalog management, and built-in support for reproducibility and modularity.","skillfed_tags":["data-pipelines","ml-orchestration","reproducible-research"],"use_cases":["Build reproducible machine learning pipelines with automatic task dependency tracking and data versioning for file-based systems","Structure team data science projects with standardized layouts, coding standards, and test-driven development practices","Deploy data workflows to distributed systems including Argo, Prefect, Kubeflow, AWS Batch, and Databricks","Manage complex data transformations across multiple file formats and cloud storage backends via a unified data catalog","Visualize and debug pipeline execution flow and data lineage using Kedro-Viz integration"],"what_it_does":"Kedro is a framework for structuring data engineering and data science projects using software engineering best practices. It provides a project template based on Cookiecutter Data Science, a data catalog for managing data connectors across multiple file formats and storage systems, automatic pipeline dependency resolution, and visualization via Kedro-Viz. The framework emphasizes reproducibility, modularity, and team collaboration by moving away from Jupyter notebooks and ad-hoc scripts toward maintainable, reusable code.\n\nThe package includes 17 runtime dependencies covering configuration management (OmegaConf, Dynaconf), CLI tooling (Click), templating (Cookiecutter), file system abstraction (fsspec), version control integration (GitPython), and output formatting (Rich). It supports Python 3.10 through 3.14 and is actively maintained by the Kedro product team and open-source contributors.","worth_installing":"Yes. Kedro is production-stable (Development Status 5), actively maintained, has no known vulnerabilities, low install friction, and a permissive Apache 2.0 license. It is well-suited for teams building reproducible, modular data pipelines at scale. Install it if you need structure and best practices for data engineering or data science projects beyond notebooks."},"id":"kedro","links":{"html":"https://skillfed.io/packages/kedro","md":"https://skillfed.io/packages/kedro.md","pypi":"https://pypi.org/project/kedro/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-29","license_spdx":null,"license_treatment":"permissive","name":"kedro","python_support":"supports_current","summary":"Kedro helps you build production-ready data and analytics pipelines"},"popularity":{"monthly_downloads":905549,"position":4761,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.5.0"}