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fiftyone

voxel51/fiftyone

Refine high-quality datasets and visual AI models

GitHub Website

GraphCanon updated 3d · GitHub synced 3d

11k stars814 forksLast push 3d TypeScript Apache-2.0

Decision brief

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

Good fit when

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.

Avoid when

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.

Observed Jul 11, 2026 · Source: enrich:decision_facts

fiftyone alternatives Trust report

Verify the decision

Adoption

Package downloads where a registry match exists. GitHub stars (11,028) are secondary evidence.

Docker Hub pulls (30d): 41,349·Docker Hub API·3d

Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of 3d
Provenance: Not a fork · Organization account; As of 3d
Security (OSV): No lockfile; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

npm install fiftyone

npm

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

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

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Aug 23, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Aug 23, 2026
Languages: typescript, python
Source: github.language+pyproject.toml · Aug 23, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 23, 2026)

FiftyOne supports Python 3.10 - 3.14.

Source link

README

installation 💻

As simple as:

pip install fiftyone

More details

Installation options

FiftyOne supports Python 3.10 - 3.14.

For most users, we recommend installing the latest release version of FiftyOne via pip as shown above.

If you want to contribute to FiftyOne or install the latest development version, then you can also perform a source install.

See the prerequisites section for system-specific setup information.

We strongly recommend that you install FiftyOne in a virtual environment to maintain a clean workspace.

Consult the installation guide for troubleshooting and other information about getting up-and-running with FiftyOne.

Install from source

Upgrading your source installation

To upgrade an existing source installation to the bleeding edge, simply pull the latest develop branch and rerun the install script:

git checkout develop
git pull

---

### Developer installation

If you would like to
[contribute to FiftyOne](https://github.com/voxel51/fiftyone/blob/develop/CONTRIBUTING.md),
you should perform a developer installation using the `-d` flag of the install
script:

```shell

For agents

This page has a .md twin and JSON over the API.

/tools/voxel51-fiftyone.md GET /api/graphcanon/tools/voxel51-fiftyone GET /api/graphcanon/graph?tool=voxel51-fiftyone