Comparison
datasets vs lakeFS
Verdict
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; pick lakeFS if lakeFS provides Git-like functionality for managing versions of data in a data lake, compatible with storage solutions like S3 and Azure.
Markdown twin · datasets alternatives · lakeFS alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | datasets | lakeFS |
|---|---|---|
| Maintenance | Very active (0d 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 | Published findings 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
- datasets
- Largest hub of ready-to-use datasets for AI models
- lakeFS
- Data version control for your data lake
Stars
- datasets
- 22k
- lakeFS
- 5.5k
Forks
- datasets
- 3.3k
- lakeFS
- 472
Open issues
- datasets
- 1.2k
- lakeFS
- 437
Language
- datasets
- Python
- lakeFS
- Go
Adopt for
- 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.
- lakeFS
- lakeFS provides Git-like functionality for managing versions of data in a data lake, compatible with storage solutions like S3 and Azure.
Persona
- datasets
- -
- lakeFS
- -
Runtime
- datasets
- -
- lakeFS
- -
License
- datasets
- Apache-2.0
- lakeFS
- Apache-2.0
Last pushed
- datasets
- Jul 30, 2026
- lakeFS
- Aug 3, 2026
Categories
- datasets
- Data & Retrieval
- lakeFS
- Data & Retrieval
Trust and health
Open issues (now)
- datasets
- 1.2k
- lakeFS
- 437
OSV dependency advisories
- datasets
- No lockfile (source not queried)
- lakeFS
- Published findings
Full report
- datasets
- Trust report
- lakeFS
- Trust report
Shared compatibility
- Python · datasets: Python runtime · lakeFS: Python runtime
Choose datasets if…
- datasets is primarily Python; lakeFS is Go.
- Tags unique to datasets: ai, artificial-intelligence, dataset-hub, datasets.
- 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.
Choose lakeFS if…
- lakeFS is primarily Go; datasets is Python.
- Tags unique to lakeFS: apache-spark, aws-s3, azure-blob-storage, data-engineering.
- lakeFS ships Docker support for self-hosted deployment.
- When you need version control for large-scale datasets stored in a data lake, similar to how codebases are managed with Git.
When NOT to use lakeFS
- If your use case involves managing small files or datasets that do not benefit from a Git-like history for data changes due to overhead.
- For situations where compliance requirements preclude open-source solutions or those under the Apache 2.0 license, as lakeFS may not meet these specific needs.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (treeverse/lakeFS) · observed Aug 3, 2026
- GitHub forks (treeverse/lakeFS) · observed Aug 3, 2026
- Last push (treeverse/lakeFS) · observed Aug 3, 2026
- 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 on cards: datasets 22k · lakeFS 5.5k (synced Jul 31, 2026).
Common questions
- What is the difference between datasets and lakeFS?
- datasets: Largest hub of ready-to-use datasets for AI models. lakeFS: Data version control for your data lake. See the comparison table for live GitHub stats and shared categories.
- When should I choose datasets over lakeFS?
- Choose datasets over lakeFS when datasets is primarily Python; lakeFS is Go; Tags unique to datasets: ai, artificial-intelligence, dataset-hub, datasets; Use datasets if you need access to a large number of ready-to-use datasets specifically suited for training AI models.
- When should I choose lakeFS over datasets?
- Choose lakeFS over datasets when lakeFS is primarily Go; datasets is Python; Tags unique to lakeFS: apache-spark, aws-s3, azure-blob-storage, data-engineering; lakeFS ships Docker support for self-hosted deployment; When you need version control for large-scale datasets stored in a data lake, similar to how codebases are managed with Git.
- 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.
- When should I avoid lakeFS?
- If your use case involves managing small files or datasets that do not benefit from a Git-like history for data changes due to overhead. For situations where compliance requirements preclude open-source solutions or those under the Apache 2.0 license, as lakeFS may not meet these specific needs.
- Is datasets or lakeFS more popular on GitHub?
- datasets has more GitHub stars (21,791 vs 5,480). Stars measure visibility, not whether either tool fits your constraints.
- Are datasets and lakeFS open source?
- Yes - both are open-source projects on GitHub (datasets: Apache-2.0, lakeFS: Apache-2.0).
- Where can I find alternatives to datasets or lakeFS?
- GraphCanon lists graph-backed alternatives at datasets alternatives and lakeFS alternatives (datasets markdown twin, lakeFS 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, datasets or lakeFS?
- datasets: Very active. lakeFS: 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 datasets and lakeFS?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: datasets trust report; lakeFS trust report.