Comparison
Dataset vs datasets
Verdict
Pick Dataset if dL3DV-10K is a 3D Vision dataset for deep learning research in novel view synthesis using PyTorch; pick datasets if datasets is the largest hub of ready-to-use datasets for AI models, offering extensive collection and fast, easy-to-use data manipulation tools.
Markdown twin · Dataset alternatives · datasets alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | Dataset | datasets |
|---|---|---|
| Maintenance | Slowing (171d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- Dataset
- 3D Vision Dataset for Novel View Synthesis
- datasets
- Largest hub of ready-to-use datasets for AI models
Stars
- Dataset
- 655
- datasets
- 22k
Forks
- Dataset
- 16
- datasets
- 3.3k
Open issues
- Dataset
- 21
- datasets
- 1.2k
Language
- Dataset
- HTML
- datasets
- Python
Adopt for
- Dataset
- DL3DV-10K is a 3D Vision dataset for deep learning research in novel view synthesis using PyTorch.
- datasets
- datasets is the largest hub of ready-to-use datasets for AI models, offering extensive collection and fast, easy-to-use data manipulation tools.
Persona
- Dataset
- -
- datasets
- -
Runtime
- Dataset
- -
- datasets
- -
License
- Dataset
- The data is released under custom DL3DV-10K Terms of Use, found in the repository, which may include specific conditions not compatible with all projects.
- datasets
- Apache-2.0
Last pushed
- Dataset
- Feb 10, 2026
- datasets
- Jul 30, 2026
Categories
- Dataset
- Computer Vision
- datasets
- Data & Retrieval
Trust and health
Maintenance
- Dataset
- Slowing (36%)
- datasets
- Very active (96%)
Days since push
- Dataset
- 171d
- datasets
- 0d
Open issues (now)
- Dataset
- 21
- datasets
- 1.2k
Full report
- Dataset
- Trust report
- datasets
- Trust report
Choose Dataset if…
- Dataset is primarily HTML; datasets is Python.
- License: Dataset is Other, datasets is Apache-2.0.
- DL3DV-10K hosts its 3D vision dataset for research purposes primarily.
- Tags unique to Dataset: dataset, pytorch.
- Also covers Computer Vision.
- Use when working on projects focused specifically on 3D vision, reconstruction, and novel view synthesis where you require large-scale datasets.
When NOT to use Dataset
- Not recommended if your project or methodology does not align with the specific Terms of Use provided by DL3DV-10K.
- Avoid using this dataset if you are working on a framework other than PyTorch, as it's optimized for and primarily documented within that context.
Choose datasets if…
- datasets is primarily Python; Dataset is HTML.
- License: datasets is Apache-2.0, Dataset is Other.
- Tags unique to datasets: ai, artificial-intelligence, dataset-hub, datasets.
- Also covers Data & Retrieval.
- Use datasets if you need access to a large number of ready-to-use datasets specifically suited for training AI models.
When NOT to use datasets
- Avoid datasets if the specific type of dataset required for your project is not included in their extensive collection.
- Do not use datasets if you prefer less integration with popular machine learning frameworks like PyTorch or TensorFlow, as this tool heavily integrates with these platforms.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (DL3DV-10K/Dataset) · observed Jul 31, 2026
- GitHub forks (DL3DV-10K/Dataset) · observed Jul 31, 2026
- Last push (DL3DV-10K/Dataset) · observed Feb 10, 2026
- License file (Other) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (huggingface/datasets) · observed Jul 31, 2026
- GitHub forks (huggingface/datasets) · observed Jul 31, 2026
- Last push (huggingface/datasets) · observed Jul 30, 2026
- License file (Apache-2.0) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Dataset 655 · datasets 22k (synced Jul 31, 2026).
Common questions
- What is the difference between Dataset and datasets?
- Dataset: 3D Vision Dataset for Novel View Synthesis. datasets: Largest hub of ready-to-use datasets for AI models. See the comparison table for live GitHub stats and shared categories.
- When should I choose Dataset over datasets?
- Choose Dataset over datasets when Dataset is primarily HTML; datasets is Python; License: Dataset is Other, datasets is Apache-2.0; DL3DV-10K hosts its 3D vision dataset for research purposes primarily; Tags unique to Dataset: dataset, pytorch; Also covers Computer Vision; Use when working on projects focused specifically on 3D vision, reconstruction, and novel view synthesis where you require large-scale datasets.
- When should I choose datasets over Dataset?
- Choose datasets over Dataset when datasets is primarily Python; Dataset is HTML; License: datasets is Apache-2.0, Dataset is Other; Tags unique to datasets: ai, artificial-intelligence, dataset-hub, datasets; Also covers Data & Retrieval; Use datasets if you need access to a large number of ready-to-use datasets specifically suited for training AI models.
- When should I avoid Dataset?
- Not recommended if your project or methodology does not align with the specific Terms of Use provided by DL3DV-10K. Avoid using this dataset if you are working on a framework other than PyTorch, as it's optimized for and primarily documented within that context.
- When should I avoid datasets?
- Avoid datasets if the specific type of dataset required for your project is not included in their extensive collection. Do not use datasets if you prefer less integration with popular machine learning frameworks like PyTorch or TensorFlow, as this tool heavily integrates with these platforms.
- Is Dataset or datasets more popular on GitHub?
- datasets has more GitHub stars (21,791 vs 655). Stars measure visibility, not whether either tool fits your constraints.
- Are Dataset and datasets open source?
- Yes - both are open-source projects on GitHub (Dataset: Other, datasets: Apache-2.0).
- Where can I find alternatives to Dataset or datasets?
- GraphCanon lists graph-backed alternatives at Dataset alternatives and datasets alternatives (Dataset markdown twin, datasets 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, Dataset or datasets?
- Dataset: Slowing. datasets: 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 Dataset and datasets?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Dataset trust report; datasets trust report.