Comparison
manifold vs fiftyone
Verdict
Pick manifold if manifold, developed by Uber, offers ML developers JavaScript-based visualization capabilities to debug and comprehend their models' data processing without the need for model-specific knowledge; 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.
Markdown twin · manifold alternatives · fiftyone alternatives
GraphCanon updated today
Trust & integrity
| Signal | manifold | fiftyone |
|---|---|---|
| Maintenance | Dormant (543d since push) As of 2w · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- manifold
- A model-agnostic visual debugging tool for machine learning
- fiftyone
- Refine high-quality datasets and visual AI models
Stars
- manifold
- 1.7k
- fiftyone
- 11k
Forks
- manifold
- 116
- fiftyone
- 814
Open issues
- manifold
- 83
- fiftyone
- 675
Language
- manifold
- JavaScript
- fiftyone
- TypeScript
Adopt for
- manifold
- Manifold, developed by Uber, offers ML developers JavaScript-based visualization capabilities to debug and comprehend their models' data processing without the need for model-specific knowledge.
- 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
- manifold
- -
- fiftyone
- -
Runtime
- manifold
- -
- fiftyone
- -
License
- manifold
- Manifold is distributed under the Apache-2.0 license, allowing for flexible usage in both commercial and open-source projects.
- fiftyone
- Apache-2.0
Last pushed
- manifold
- Feb 5, 2025
- fiftyone
- Aug 22, 2026
Categories
- manifold
- Developer Tools
- fiftyone
- Computer Vision, Data & Retrieval, Developer Tools
Trust and health
Maintenance
- manifold
- Dormant (18%)
- fiftyone
- Very active (96%)
Days since push
- manifold
- 543d
- fiftyone
- 0d
Open issues (now)
- manifold
- 83
- fiftyone
- 675
Stars delta
- manifold
- Unknown
- fiftyone
- +94 (30d)
Open issues delta
- manifold
- Unknown
- fiftyone
- 0 (30d)
Full report
- manifold
- Trust report
- fiftyone
- Trust report
Choose manifold if…
- manifold is primarily JavaScript; fiftyone is TypeScript.
- Pricing: Free to use and modify under the Apache-2.0 license terms, Manifold's codebase can be downloaded from its repository without any cost..
- Tags unique to manifold: apache-2.0-license, incubation, javascript, machine-learning.
- - When you seek a JavaScript-based tool for visual debugging of machine learning models, irrespective of the model type or framework used
When NOT to use manifold
- - Avoid using Manifold if you are not comfortable working with JavaScript, as it is a primary requirement to integrate this tool into your project environment
- - If your development setup strictly avoids npm dependencies or requires isolation from external libraries, Manifold may introduce unnecessary complexity given its specific installation requirements
Choose fiftyone if…
- fiftyone is primarily TypeScript; manifold is JavaScript.
- Tags unique to fiftyone: active-learning, artificial-intelligence, computer-vision, data-centric-ai.
- Also covers Computer Vision, Data & Retrieval.
- fiftyone ships Docker support for self-hosted deployment.
- 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 (uber/manifold) · observed Aug 3, 2026
- GitHub forks (uber/manifold) · observed Aug 3, 2026
- Last push (uber/manifold) · observed Feb 5, 2025
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 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: manifold 1.7k · fiftyone 11k (synced Aug 3, 2026).
Common questions
- What is the difference between manifold and fiftyone?
- manifold: A model-agnostic visual debugging tool for machine learning. fiftyone: Refine high-quality datasets and visual AI models. See the comparison table for live GitHub stats and shared categories.
- When should I choose manifold over fiftyone?
- Choose manifold over fiftyone when manifold is primarily JavaScript; fiftyone is TypeScript; Pricing: Free to use and modify under the Apache-2.0 license terms, Manifold's codebase can be downloaded from its repository without any cost.; Tags unique to manifold: apache-2.0-license, incubation, javascript, machine-learning; - When you seek a JavaScript-based tool for visual debugging of machine learning models, irrespective of the model type or framework used.
- When should I choose fiftyone over manifold?
- Choose fiftyone over manifold when fiftyone is primarily TypeScript; manifold is JavaScript; Tags unique to fiftyone: active-learning, artificial-intelligence, computer-vision, data-centric-ai; Also covers Computer Vision, Data & Retrieval; fiftyone ships Docker support for self-hosted deployment; When you need a comprehensive solution for both dataset refinement and visualization tailored for computer vision projects, Fiftyone stands out.
- When should I avoid manifold?
- - Avoid using Manifold if you are not comfortable working with JavaScript, as it is a primary requirement to integrate this tool into your project environment - If your development setup strictly avoids npm dependencies or requires isolation from external libraries, Manifold may introduce unnecessary complexity given its specific installation requirements
- 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 manifold or fiftyone more popular on GitHub?
- fiftyone has more GitHub stars (11,028 vs 1,673). Stars measure visibility, not whether either tool fits your constraints.
- Are manifold and fiftyone open source?
- Yes - both are open-source projects on GitHub (manifold: Apache-2.0, fiftyone: Apache-2.0).
- Where can I find alternatives to manifold or fiftyone?
- GraphCanon lists graph-backed alternatives at manifold alternatives and fiftyone alternatives (manifold 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, manifold or fiftyone?
- manifold: Dormant. 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 manifold and fiftyone?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: manifold trust report; fiftyone trust report.