{"data":{"slug":"voxel51-fiftyone","name":"fiftyone","tagline":"Refine high-quality datasets and visual AI models","github_url":"https://github.com/voxel51/fiftyone","owner":"voxel51","repo":"fiftyone","owner_avatar_url":"https://avatars.githubusercontent.com/u/25984855?v=4","primary_language":"TypeScript","stars":11028,"forks":814,"topics":["active-learning","artificial-intelligence","computer-vision","data-centric-ai","data-cleaning","data-curation","data-quality","data-science","deep-learning","developer-tools","image-classification","machine-learning","object-detection","python","unstructured-data","vector-search","visualization"],"archived":false,"github_pushed_at":"2026-08-22T23:37:21+00:00","maintenance_label":"Very active","stars_delta_30d":94,"url":"https://www.graphcanon.com/tools/voxel51-fiftyone","markdown_url":"https://www.graphcanon.com/tools/voxel51-fiftyone.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/voxel51-fiftyone","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=voxel51-fiftyone","description":"Refine high-quality datasets and visual AI models","homepage_url":"https://fiftyone.ai","license":"Apache-2.0","open_issues":675,"watchers":63,"ai_summary":"voxel51/fiftyone is a tool for refining high-quality datasets and visual AI models.","readme_excerpt":"## <img src=\"https://user-images.githubusercontent.com/25985824/106288517-2422e000-6216-11eb-871d-26ad2e7b1e59.png\" height=\"20px\"> &nbsp; installation &nbsp; 💻\n\nAs simple as:\n\n```shell\npip install fiftyone\n```\n\n<details>\n<summary>More details</summary>\n\n---\n\n### Installation options\n\nFiftyOne supports Python 3.10 - 3.14.\n\nFor most users, we recommend installing the latest release version of FiftyOne\nvia `pip` as shown above.\n\nIf you want to contribute to FiftyOne or install the latest development\nversion, then you can also perform a [source install](#source-install).\n\nSee the [prerequisites section](#prerequisites) for system-specific setup\ninformation.\n\nWe strongly recommend that you install FiftyOne in a\n[virtual environment](https://docs.voxel51.com/installation/virtualenv.html) to\nmaintain a clean workspace.\n\nConsult the\n[installation guide](https://docs.voxel51.com/installation/index.html) for\ntroubleshooting and other information about getting up-and-running with\nFiftyOne.\n\n</details>\n\n<div id='source-install'/>\n\n<details>\n<summary>Install from source</summary>\n\n---\n\n### Upgrading your source installation\n\nTo upgrade an existing source installation to the bleeding edge, simply pull\nthe latest `develop` branch and rerun the install script:\n\n```shell\ngit checkout develop\ngit pull\n\n---\n\n### Developer installation\n\nIf you would like to\n[contribute to FiftyOne](https://github.com/voxel51/fiftyone/blob/develop/CONTRIBUTING.md),\nyou should perform a developer installation using the `-d` flag of the install\nscript:\n\n```shell","github_created_at":"2020-04-22T13:43:28+00:00","created_at":"2026-07-11T11:32:58.818059+00:00","updated_at":"2026-08-23T00:01:04.701107+00:00","categories":[{"slug":"computer-vision","name":"Computer Vision","url":"https://www.graphcanon.com/categories/computer-vision","markdown_url":"https://www.graphcanon.com/categories/computer-vision.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/computer-vision"},{"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"},{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"}],"tags":[{"slug":"active-learning","name":"active-learning"},{"slug":"artificial-intelligence","name":"artificial-intelligence"},{"slug":"computer-vision","name":"computer-vision"},{"slug":"data-centric-ai","name":"data-centric-ai"},{"slug":"data-cleaning","name":"data-cleaning"},{"slug":"data-curation","name":"data-curation"},{"slug":"data-quality","name":"data-quality"},{"slug":"deep-learning","name":"deep-learning"}],"trust":{"provenance":{"is_fork":false,"github_id":257913595,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-23T00:01:03.678Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":7,"days_since_push":0,"last_release_at":"2026-08-19T22:30:51Z","stars_delta_30d":94,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:33:00.067Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-23T00:01:04.123Z"},"deploy":{"source":"dockerfile:Dockerfile","self_host":true,"observed_at":"2026-08-23T00:01:04.123Z","managed_saas":false},"languages":{"value":["typescript","python"],"source":"github.language+pyproject.toml","observed_at":"2026-08-23T00:01:04.123Z"},"has_docker":{"value":true,"source":"dockerfile:Dockerfile","observed_at":"2026-08-23T00:01:04.123Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-08-23T00:01:04.123Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you need a comprehensive solution for both dataset refinement and visualization tailored for computer vision projects, Fiftyone stands out.","Suitable when you are working on active learning cycles where manual review and annotation feedback loops are critical to dataset quality."],"when_not_to_use":["If your primary focus is not within the realm of computer vision or unstructured data handling, Fiftyone may not align with your needs.","Consider alternatives if your project does not require TypeScript; Fiftyone’s choice of language might create a compatibility barrier for projects preferring other languages."],"source":"enrich:decision_facts","observed_at":"2026-07-11T15:41:34.432Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Fiftyone is a specialized tool that leverages TypeScript and is licensed under Apache-2.0 for refining high-quality datasets and visual AI models in the context of computer vision tasks. It covers areas such as data curo"},{"label":"License detail","value":"Apache-2.0"}]}}