---
title: "fiftyone"
type: "tool"
slug: "voxel51-fiftyone"
canonical_url: "https://www.graphcanon.com/tools/voxel51-fiftyone"
github_url: "https://github.com/voxel51/fiftyone"
homepage_url: "https://fiftyone.ai"
stars: 10891
forks: 793
primary_language: "TypeScript"
license: "Apache-2.0"
archived: false
categories: ["computer-vision", "data-retrieval", "developer-tools"]
tags: ["active-learning", "artificial-intelligence", "computer-vision", "data-centric-ai", "data-cleaning", "data-curation", "data-quality", "deep-learning"]
updated_at: "2026-07-12T05:22:58.189156+00:00"
---

# fiftyone

> Refine high-quality datasets and visual AI models

voxel51/fiftyone is a tool for refining high-quality datasets and visual AI models.

## Facts

- Repository: https://github.com/voxel51/fiftyone
- Homepage: https://fiftyone.ai
- Stars: 10,891 · Forks: 793 · Open issues: 672 · Watchers: 64
- Primary language: TypeScript
- License: Apache-2.0
- Last pushed: 2026-07-11T06:27:05+00:00

## Trust & health

_Signals computed from public GitHub metadata. Not a security guarantee._

- Maintenance: Very active (computed 2026-07-11T11:32:59.371Z)
- Security scan: No lockfile (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-11T11:33:00.067Z
- Full report: [trust report](/tools/voxel51-fiftyone/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/voxel51-fiftyone/trust)

## Categories

- [Computer Vision](/categories/computer-vision.md)
- [Data & Retrieval](/categories/data-retrieval.md)
- [Developer Tools](/categories/developer-tools.md)

## Tags

active-learning, artificial-intelligence, computer-vision, data-centric-ai, data-cleaning, data-curation, data-quality, deep-learning

## Category neighbours (exploratory)

_Same-category tools for discovery only - not curated alternatives. Cap shown at six._

- [ultralytics](/tools/ultralytics-ultralytics.md) - Object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking (★ 59,357) [Very active]
- [segment-anything](/tools/facebookresearch-segment-anything.md) - Repository providing code for running inference with the SegmentAnything Model (SAM) (★ 54,520) [Dormant]
- [RagaAI-Catalyst](/tools/raga-ai-hub-ragaai-catalyst.md) - Python SDK for AI agent observability and evaluation (★ 16,145) [Slowing]
- [evidently](/tools/evidentlyai-evidently.md) - Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics. (★ 7,682) [Steady]
- [data-juicer](/tools/datajuicer-data-juicer.md) - Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷 (★ 6,702) [Very active]
- [Awesome-LLMOps](/tools/tensorchord-awesome-llmops.md) - An awesome & curated list of best LLMOps tools for developers (★ 5,877) [Steady]

_+ 2 more not listed._

## Adoption goal

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

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/voxel51-fiftyone`](/api/graphcanon/tools/voxel51-fiftyone)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_