{"data":{"slug":"kedro-org-kedro","name":"kedro","tagline":"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, an","github_url":"https://github.com/kedro-org/kedro","owner":"kedro-org","repo":"kedro","owner_avatar_url":"https://avatars.githubusercontent.com/u/93382166?v=4","primary_language":"Python","stars":10911,"forks":1050,"topics":["agentic-ai","agentic-workflow","data-pipelines","hacktoberfest","kedro","machine-learning","machine-learning-engineering","mlops","python"],"archived":false,"github_pushed_at":"2026-07-09T14:18:18+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/kedro-org-kedro","markdown_url":"https://www.graphcanon.com/tools/kedro-org-kedro.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/kedro-org-kedro","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=kedro-org-kedro","description":"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.","homepage_url":"https://kedro.org","license":"Apache-2.0","open_issues":161,"watchers":100,"ai_summary":null,"readme_excerpt":"## How do I install Kedro?\n\nTo install Kedro from the Python Package Index (PyPI) run:\n\n```\nuv pip install kedro\n```\n\nIt is also possible to install Kedro using `conda`:\n\n```\nconda install -c conda-forge kedro\n```\n\nOur [Get Started guide](https://docs.kedro.org/en/stable/getting-started/install/) contains full installation instructions, and includes how to set up Python virtual environments.\n\n---\n\n### Installation from source\nTo access the latest Kedro version before its official release, install it from the `main` branch.\n```\nuv pip install git+https://github.com/kedro-org/kedro@main\n```","github_created_at":"2019-04-18T10:29:56+00:00","created_at":"2026-07-11T23:23:22.818269+00:00","updated_at":"2026-07-11T23:23:34.974273+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"}],"tags":[{"slug":"machine-learning","name":"machine-learning"},{"slug":"agentic-workflow","name":"agentic-workflow"},{"slug":"hacktoberfest","name":"hacktoberfest"},{"slug":"agentic-ai","name":"agentic-ai"},{"slug":"kedro","name":"kedro"},{"slug":"data-pipelines","name":"data pipelines"},{"slug":"machine-learning-engineering","name":"machine-learning-engineering"},{"slug":"mlops","name":"mlops"}],"trust":{"provenance":{"is_fork":false,"github_id":182067506,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T23:23:23.890Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":2,"days_since_push":2,"last_release_at":"2026-06-29T14:53:10Z"},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:23:24.376Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T23:23:23.651Z"},"has_cli":{"value":true,"source":"pyproject.toml:[project.scripts]","observed_at":"2026-07-11T23:23:23.651Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-07-11T23:23:23.651Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-07-11T23:23:23.651Z"}}}}