Comparison
label-studio vs fiftyone
Verdict
Pick label-studio if label Studio is an annotation tool supporting multiple data types with standardized output for machine learning projects; pick fiftyone if 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.
Markdown twin · label-studio alternatives · fiftyone alternatives
GraphCanon updated Aug 23, 2026
vs
Trust & integrity
| Signal | label-studio | fiftyone |
|---|---|---|
| Maintenance | Very active (0d since push) As of Aug 14, 2026 · github_public_v1 | Very active (0d since push) As of Aug 23, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 14, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 23, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- label-studio
- A multi-type data labeling and annotation tool
- fiftyone
- Refine high-quality datasets and visual AI models
Stars
- label-studio
- 28k
- fiftyone
- 11k
Forks
- label-studio
- 3.7k
- fiftyone
- 814
Open issues
- label-studio
- 923
- fiftyone
- 675
Language
- label-studio
- TypeScript
- fiftyone
- TypeScript
Adopt for
- label-studio
- Label Studio is an annotation tool supporting multiple data types with standardized output for machine learning projects.
- fiftyone
- 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
Persona
- label-studio
- -
- fiftyone
- -
Runtime
- label-studio
- -
- fiftyone
- -
License
- label-studio
- Apache-2.0
- fiftyone
- Apache-2.0
Last pushed
- label-studio
- Aug 14, 2026
- fiftyone
- Aug 22, 2026
Categories
- label-studio
- Data & Retrieval
- fiftyone
- Computer Vision, Data & Retrieval, Developer Tools
Trust and health
Open issues (now)
- label-studio
- 923
- fiftyone
- 675
Stars delta
- label-studio
- +218 (30d)
- fiftyone
- +94 (30d)
Open issues delta
- label-studio
- +23 (30d)
- fiftyone
- 0 (30d)
Full report
- label-studio
- Trust report
- fiftyone
- Trust report
Shared compatibility
- Python · label-studio: Python runtime · fiftyone: Python runtime
Choose label-studio if…
- Tags unique to label-studio: annotation, image-classification, labeling-tool, semantic-segmentation.
- For projects needing multi-type annotations including images, texts, and more
- More GitHub stars (28k vs 11k) - visibility, not fit.
When NOT to use label-studio
- If your project strictly requires on-premise database solutions without Docker support
- For tasks where real-time collaboration annotations are non-negotiable features
- When the need for minimal setup overrides advanced configuration options
Choose fiftyone if…
- Tags unique to fiftyone: active-learning, artificial-intelligence, data-centric-ai, data-cleaning.
- Also covers Computer Vision, Developer Tools.
- When you need a comprehensive solution for both dataset refinement and visualization tailored for computer vision projects, Fiftyone stands out.
When NOT to use fiftyone
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (HumanSignal/label-studio) · observed Aug 14, 2026
- GitHub forks (HumanSignal/label-studio) · observed Aug 14, 2026
- Last push (HumanSignal/label-studio) · observed Aug 14, 2026
- License file (Apache-2.0) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (voxel51/fiftyone) · observed Aug 23, 2026
- GitHub forks (voxel51/fiftyone) · observed Aug 23, 2026
- Last push (voxel51/fiftyone) · observed Aug 22, 2026
- License file (Apache-2.0) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: label-studio 28k · fiftyone 11k (synced Aug 14, 2026).
Common questions
- What is the difference between label-studio and fiftyone?
- label-studio: A multi-type data labeling and annotation tool. fiftyone: Refine high-quality datasets and visual AI models. See the comparison table for live GitHub stats and shared categories.
- When should I choose label-studio over fiftyone?
- Choose label-studio over fiftyone when Tags unique to label-studio: annotation, image-classification, labeling-tool, semantic-segmentation; For projects needing multi-type annotations including images, texts, and more; More GitHub stars (28k vs 11k) - visibility, not fit.
- When should I choose fiftyone over label-studio?
- Choose fiftyone over label-studio when Tags unique to fiftyone: active-learning, artificial-intelligence, data-centric-ai, data-cleaning; Also covers Computer Vision, Developer Tools; When you need a comprehensive solution for both dataset refinement and visualization tailored for computer vision projects, Fiftyone stands out.
- When should I avoid label-studio?
- If your project strictly requires on-premise database solutions without Docker support For tasks where real-time collaboration annotations are non-negotiable features When the need for minimal setup overrides advanced configuration options
- When should I avoid fiftyone?
- 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.
- Is label-studio or fiftyone more popular on GitHub?
- label-studio has more GitHub stars (28,058 vs 11,028). Stars measure visibility, not whether either tool fits your constraints.
- Are label-studio and fiftyone open source?
- Yes - both are open-source projects on GitHub (label-studio: Apache-2.0, fiftyone: Apache-2.0).
- Where can I find alternatives to label-studio or fiftyone?
- GraphCanon lists graph-backed alternatives at label-studio alternatives and fiftyone alternatives (label-studio markdown twin, fiftyone markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, label-studio or fiftyone?
- label-studio: Very active. fiftyone: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for label-studio and fiftyone?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: label-studio trust report; fiftyone trust report.