Best Hugging Face Hub Alternatives in 2026
The top Hugging Face Hub alternatives are lakeFS, Dolt and DataLad: 15 data version control tools our editors would look at instead of Hugging Face Hub, in our ranking order.
Hugging Face Hub: A focused Hub for versioning, sharing, and collaborating on ML files and assets. Where it falls short: its verified scope centers on hosted files and machine-learning assets.
Switching from Hugging Face Hub? For most data version control tools buyers the best Hugging Face Hub alternative is lakeFS, built for enterprise lakehouse and object-storage teams.
Why People Look for a Hugging Face Hub Alternative
- Its verified scope centers on hosted files and machine-learning assets
- Storage Buckets are mutable and non-versioned
- Advanced controls and higher limits require paid plans
Quick Picks by What You Need
- Best overalllakeFS9.4
Enterprise lakehouse and object-storage teams
Visit lakeFS - Lowest priceOxen8.6
Paid plans from $30/mo
Visit Oxen - Best free optionlakeFS9.4
Has a free plan
Visit lakeFS
All 15 Hugging Face Hub Alternatives, Ranked
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
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Best forEnterprise lakehouse and object-storage teams
- Better than Hugging Face Hub:
- Editor score 9.4 vs 6.9
Open-source, Git-like version control for governed data on object storage.
9.4/10★★★★★Visit lakeFS -
Best forTeams versioning SQL database tables
- Better than Hugging Face Hub:
- Editor score 9.2 vs 6.9
Git-style table versioning with MySQL compatibility and open-source deployment.
- Dataset branching
- Point-in-time rollback
9.2/10★★★★★Visit Dolt -
Best forResearchers versioning large file datasets
- Better than Hugging Face Hub:
- Editor score 9.0 vs 6.9
A free, technical toolkit for versioning, reproducing, and synchronizing large file datasets.
- Dataset branching
- Point-in-time rollback
9.0/10★★★★☆Visit DataLad -
Best forDistributed large-file repositories
- Better than Hugging Face Hub:
- Editor score 8.8 vs 6.9
A focused, open-source choice for distributed large-file repositories.
- Dataset branching
- Point-in-time rollback
8.8/10★★★★☆Visit git-annex -
Best forStreaming table and CDC pipelines
- Better than Hugging Face Hub:
- Editor score 8.7 vs 6.9
A flexible open-source choice for streaming tables, CDC pipelines, and lakehouse architectures.
- Dataset branching
- Point-in-time rollback
8.7/10★★★★☆Visit Apache Paimon -
Best forML teams versioning datasets and model assets
- Better than Hugging Face Hub:
- Editor score 8.6 vs 6.9
A focused version-control platform for datasets, model assets, and AI workflow files.
- Dataset branching
- Point-in-time rollback
8.6/10★★★★☆Visit Oxen -
Best forIceberg data-lake metadata versioning
- Better than Hugging Face Hub:
- Editor score 8.5 vs 6.9
A self-hosted catalog for branching, history, and transactions across Iceberg tables.
- Dataset branching
- Point-in-time rollback
8.5/10★★★★☆Visit Project Nessie -
Best forOpen table-format versioning
- Better than Hugging Face Hub:
- Editor score 8.4 vs 6.9
A capable open table format for teams managing versioned analytic datasets.
- Dataset branching
- Point-in-time rollback
8.4/10★★★★☆Visit Apache Iceberg -
Best forTransactional lakehouse table teams
- Better than Hugging Face Hub:
- Editor score 8.3 vs 6.9
A free, open table format for teams managing transactional lakehouse workloads.
- Point-in-time rollback
8.3/10★★★★☆Visit Delta Lake -
Best forTeams versioning data and transformation pipelines
- Better than Hugging Face Hub:
- Editor score 8.2 vs 6.9
A broad data versioning platform for teams managing pipelines, lineage, and rollback.
- Dataset branching
- Point-in-time rollback
8.2/10★★★★☆Visit Nile -
Best forCloud teams building immutable data pipelines
- Better than Hugging Face Hub:
- Editor score 8.1 vs 6.9
A strong fit for teams building immutable, traceable data pipelines in the cloud.
8.1/10★★★★☆Visit DataChain -
Best forMultimodal and vector data teams
- Better than Hugging Face Hub:
- Editor score 8.0 vs 6.9
A self-hosted, open-source foundation for versioned multimodal and vector data.
- Dataset branching
- Point-in-time rollback
8.0/10★★★★☆Visit Lance -
Best forGIS and geospatial dataset teams
- Better than Hugging Face Hub:
- Editor score 7.9 vs 6.9
A specialized open-source choice for versioning spatial and tabular datasets.
- Dataset branching
- Point-in-time rollback
7.9/10★★★★☆Visit Koordinates -
Best forHosted teams managing visual datasets
- Better than Hugging Face Hub:
- Editor score 7.8 vs 6.9
A hosted dataset control layer with strong versioning, visualization, and developer access.
- Dataset branching
- Point-in-time rollback
7.8/10★★★★☆Visit Graviti -
Best forVersioned graph and semantic data
- Better than Hugging Face Hub:
- Editor score 7.7 vs 6.9
A strong fit for versioned semantic graphs, with flexible querying and branching built in.
7.7/10★★★★☆Visit TerminusDB
Hugging Face Hub Alternatives: Common Questions
What is the best alternative to Hugging Face Hub?
lakeFS: #1 in our Data Version Control Tools ranking, with an editor score of 9.4 out of 10. Open-source, Git-like version control for governed data on object storage.
Is there a free alternative to Hugging Face Hub?
Yes. lakeFS, Dolt, DataLad, git-annex and Apache Paimon have a free plan or a free tier (15 of the 15 alternatives on this page).
What is the cheapest paid alternative to Hugging Face Hub?
Of the alternatives here that publish a price, Oxen starts lowest, at $30/mo.
Why do people look for Hugging Face Hub alternatives?
Its verified scope centers on hosted files and machine-learning assets; Storage Buckets are mutable and non-versioned; Advanced controls and higher limits require paid plans.
How do I switch from Hugging Face Hub?
Export your data from Hugging Face Hub (most tools have an export in their settings). Sign up for the alternative; start on its free plan or trial if it has one. Import your export and set up the integrations your team relies on. Run both side by side for a short while, then cancel Hugging Face Hub.
How to Switch from Hugging Face Hub
- Export your data from Hugging Face Hub (most tools have an export in their settings).
- Sign up for the alternative; start on its free plan or trial if it has one.
- Import your export and set up the integrations your team relies on.
- Run both side by side for a short while, then cancel Hugging Face Hub.
Hugging Face Hub vs Each Alternative
| # | Tool | Free plan | Paid from | Data scope | Dataset branching | Point-in-time rollback | Snapshot granularity | Score |
|---|---|---|---|---|---|---|---|---|
| 23 | Hugging Face Hub | Yes | $9/mo | Files | Yes | Yes | File | 6.9 |
| 1 | lakeFS | Yes | 9.4 | |||||
| 2 | Dolt | Yes | Free | Tables | Yes | Yes | Table | 9.2 |
| 3 | DataLad | Yes | Free | Files | Yes | Yes | File | 9.0 |
| 4 | git-annex | Free | Files | Yes | Yes | File | 8.8 | |
| 5 | Apache Paimon | Yes | Free | Tables | Yes | Yes | Table | 8.7 |
| 6 | Oxen | Yes | $30/mo | Files_and_tables | Yes | Yes | File_and_table | 8.6 |
| 7 | Project Nessie | Free | Tables | Yes | Yes | Table | 8.5 | |
| 8 | Apache Iceberg | Free | Tables | Yes | Yes | Table | 8.4 | |
| 9 | Delta Lake | Yes | Free | Tables | Yes | Table | 8.3 | |
| 10 | Nile | Yes | Tables | Yes | Yes | Table | 8.2 | |
| 11 | DataChain | Yes | Files_and_tables | File_and_table | 8.1 | |||
| 12 | Lance | Free | Files_and_tables | Yes | Yes | Table | 8.0 | |
| 13 | Kart | Free | Files_and_tables | Yes | Yes | File_and_table | 7.9 | |
| 14 | Graviti | Yes | $200/mo | Files_and_tables | Yes | Yes | 7.8 | |
| 15 | TerminusDB | Yes | Free | 7.7 |
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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