Comparison
deeplake vs lancedb
Verdict
Pick deeplake if deeplake is an AI Data Runtime for Agents designed with serverless Postgres and multimodal data lake support, targeting scalable retrieval and training capabilities; pick lancedb if lanceDB is a developer-friendly, open-source embedded retrieval library for multimodal AI applications. It supports various SDKs and REST APIs, offering efficient functionalities including approximate nearest neighbor (k.
Markdown twin · deeplake alternatives · lancedb alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | deeplake | lancedb |
|---|---|---|
| Maintenance | Steady (87d since push) As of 3d · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · 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
- deeplake
- AI Data Runtime for Agents with scalable retrieval and training features
- lancedb
- Developer-friendly OSS embedded retrieval library for multimodal AI.
Stars
- deeplake
- 9.2k
- lancedb
- 11k
Forks
- deeplake
- 721
- lancedb
- 972
Open issues
- deeplake
- 63
- lancedb
- 630
Language
- deeplake
- C++
- lancedb
- Rust
Adopt for
- deeplake
- Deeplake is an AI Data Runtime for Agents designed with serverless Postgres and multimodal data lake support, targeting scalable retrieval and training capabilities.
- lancedb
- LanceDB is a developer-friendly, open-source embedded retrieval library for multimodal AI applications. It supports various SDKs and REST APIs, offering efficient functionalities including approximate nearest neighbor (k
Persona
- deeplake
- -
- lancedb
- -
Runtime
- deeplake
- -
- lancedb
- -
License
- deeplake
- Deeplake uses the Apache-2.0 license, allowing free use in both open source and commercial projects with attribution.
- lancedb
- Apache-2.0
Last pushed
- deeplake
- May 21, 2026
- lancedb
- Jul 28, 2026
Categories
- deeplake
- Data & Retrieval, Model Training, Vector Databases
- lancedb
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- deeplake
- Steady (60%)
- lancedb
- Very active (96%)
Days since push
- deeplake
- 87d
- lancedb
- 0d
Open issues (now)
- deeplake
- 63
- lancedb
- 630
Stars delta
- deeplake
- +16 (30d)
- lancedb
- Unknown
Open issues delta
- deeplake
- -6 (30d)
- lancedb
- Unknown
Full report
- deeplake
- Trust report
- lancedb
- Trust report
Shared compatibility
- Python · deeplake: Python runtime · lancedb: Python runtime
Choose deeplake if…
- deeplake is primarily C++; lancedb is Rust.
- Pricing: Pricing details are not specified for Deeplake's public repository..
- Requirements: Deeplake can be installed using pip, making it accessible via the command `pip install deeplake`..
- Tags unique to deeplake: agent, agentic-rag, ai, computer-vision.
- Also covers Model Training.
- When you are developing applications that require seamless integration with AI agents, as Deeplake supports agent-centric design.
When NOT to use deeplake
- If your project does not benefit from an agent-centric architecture and you primarily require traditional database operations without multimodal features.
- When cost control is critical and serverless PostgreSQL might introduce variable costs compared to on-premises solutions for data retrieval and training.
Choose lancedb if…
- lancedb is primarily Rust; deeplake is C++.
- Pricing: Open-source under Apache-2.0 license, ensuring free use and modification for everyone..
- Tags unique to lancedb: approximate-nearest-neighbor-search, image-search, nearest-neighbor-search, recommender-system.
- lancedb ships Docker support for self-hosted deployment.
- - When you need an easy-to-use, fully featured search functionality, encompassing approximate nearest neighbor searches, image searches, semantic searches, etc., specifically tailored for multimodal A
When NOT to use lancedb
- - Avoid LanceDB if your project requires real-time search latency below millisecond levels because the overhead for embedding storage and retrieval might affect performance.
- - Not suitable when you are working with large-scale real-time applications that require extensive horizontal scalability beyond what its embedded design can offer.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (activeloopai/deeplake) · observed Aug 17, 2026
- GitHub forks (activeloopai/deeplake) · observed Aug 17, 2026
- Last push (activeloopai/deeplake) · observed May 21, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 9, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (lancedb/lancedb) · observed Jul 28, 2026
- GitHub forks (lancedb/lancedb) · observed Jul 28, 2026
- Last push (lancedb/lancedb) · observed Jul 28, 2026
- License file (Apache-2.0) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: deeplake 9.2k · lancedb 11k (synced Aug 17, 2026).
Common questions
- What is the difference between deeplake and lancedb?
- deeplake: AI Data Runtime for Agents with scalable retrieval and training features. lancedb: Developer-friendly OSS embedded retrieval library for multimodal AI.. See the comparison table for live GitHub stats and shared categories.
- When should I choose deeplake over lancedb?
- Choose deeplake over lancedb when deeplake is primarily C++; lancedb is Rust; Pricing: Pricing details are not specified for Deeplake's public repository.; Requirements: Deeplake can be installed using pip, making it accessible via the command
pip install deeplake.; Tags unique to deeplake: agent, agentic-rag, ai, computer-vision; Also covers Model Training; When you are developing applications that require seamless integration with AI agents, as Deeplake supports agent-centric design. - When should I choose lancedb over deeplake?
- Choose lancedb over deeplake when lancedb is primarily Rust; deeplake is C++; Pricing: Open-source under Apache-2.0 license, ensuring free use and modification for everyone.; Tags unique to lancedb: approximate-nearest-neighbor-search, image-search, nearest-neighbor-search, recommender-system; lancedb ships Docker support for self-hosted deployment; - When you need an easy-to-use, fully featured search functionality, encompassing approximate nearest neighbor searches, image searches, semantic searches, etc., specifically tailored for multimodal A.
- When should I avoid deeplake?
- If your project does not benefit from an agent-centric architecture and you primarily require traditional database operations without multimodal features. When cost control is critical and serverless PostgreSQL might introduce variable costs compared to on-premises solutions for data retrieval and training.
- When should I avoid lancedb?
- - Avoid LanceDB if your project requires real-time search latency below millisecond levels because the overhead for embedding storage and retrieval might affect performance. - Not suitable when you are working with large-scale real-time applications that require extensive horizontal scalability beyond what its embedded design can offer.
- Is deeplake or lancedb more popular on GitHub?
- lancedb has more GitHub stars (11,014 vs 9,224). Stars measure visibility, not whether either tool fits your constraints.
- Are deeplake and lancedb open source?
- Yes - both are open-source projects on GitHub (deeplake: Apache-2.0, lancedb: Apache-2.0).
- Where can I find alternatives to deeplake or lancedb?
- GraphCanon lists graph-backed alternatives at deeplake alternatives and lancedb alternatives (deeplake markdown twin, lancedb 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, deeplake or lancedb?
- deeplake: Steady. lancedb: 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 deeplake and lancedb?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deeplake trust report; lancedb trust report.