GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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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
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (11,101) are secondary evidence.
- Docker Hub pulls (30d)
- 47,396·Docker Hub API·Sep 20, 2026
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install fiftyone npmSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
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 · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
- Languages
- typescript, python
Source: github.language+pyproject.toml · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
FiftyOne supports Python 3.10 - 3.13.Source link
Tags
README
<img src="https://user images.githubusercontent.com/25985824/106288517 2422e000 6216 11eb 871d 26ad2e7b1e59.png" height="20px" installation 💻 As simple as: <details <summary More details</summary Installation options FiftyOne supports Python 3.10 3.13. For most use...
For agents
This page has a .md twin and JSON over the API.