Comparison
deeplake vs dingo
Verdict
Pick deeplake if deeplake is an AI Data Runtime for Agents that integrates a serverless PostgreSQL with a multimodal data lake, designed for scalable retrieval and training; pick dingo if dingoDB is a MySQL-compatible database designed for handling both structured and unstructured data with support for real-time semantic search.
Markdown twin · deeplake alternatives · dingo alternatives
GraphCanon updated Sep 30, 2026
9views this month
Trust & integrity
| Signal | deeplake | dingo |
|---|---|---|
| Maintenance | Slowing (119d since push) As of Sep 18, 2026 · github_public_v1 | Steady (71d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- dingo
- A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data
Stars
- deeplake
- 9.2k
- dingo
- 1.7k
Forks
- deeplake
- 722
- dingo
- 264
Open issues
- deeplake
- 67
- dingo
- 8
Language
- deeplake
- C++
- dingo
- Java
Adopt for
- deeplake
- Deeplake is an AI Data Runtime for Agents that integrates a serverless PostgreSQL with a multimodal data lake, designed for scalable retrieval and training.
- dingo
- DingoDB is a MySQL-compatible database designed for handling both structured and unstructured data with support for real-time semantic search.
Persona
- deeplake
- -
- dingo
- -
Runtime
- deeplake
- -
- dingo
- -
License
- deeplake
- Deeplake is available under the Apache-2.0 license, allowing for free use, modification, and distribution.
- dingo
- Apache-2.0
Last pushed
- deeplake
- May 21, 2026
- dingo
- Jul 10, 2026
Categories
- deeplake
- Data & Retrieval, Model Training, Vector Databases
- dingo
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- deeplake
- Slowing (36%)
- dingo
- Steady (60%)
Days since push
- deeplake
- 119d
- dingo
- 71d
Open issues (now)
- deeplake
- 67
- dingo
- 8
Stars delta
- deeplake
- +15 (30d)
- dingo
- +5 (30d)
Open issues delta
- deeplake
- +4 (30d)
- dingo
- 0 (30d)
Full report
- deeplake
- Trust report
- dingo
- Trust report
Choose deeplake if…
- deeplake is primarily C++; dingo is Java.
- Pricing: Deeplake offers a free tier with options for premium services, though specific pricing details are not provided in the repository..
- Requirements: Min 4 GB RAM; Installation can be done via pip, making it accessible for Python environments..
- Tags unique to deeplake: agent, agentic-rag, ai, clawbot.
- Also covers Model Training.
- When you need a serverless PostgreSQL setup integrated with a multimodal data lake for efficient data retrieval and training.
When NOT to use deeplake
- If your project does not require serverless PostgreSQL or multimodal data handling capabilities.
- When you are looking for a solution that does not support C++ as the primary language, as Deeplake is built with C++.
- If your use case does not benefit from the specific integration of PostgreSQL with a data lake, and you prefer a more traditional database setup.
Choose dingo if…
- dingo is primarily Java; deeplake is C++.
- Tags unique to dingo: embedding-search, embedding-store, hybrid-search, key-value-distributed-store.
- You need a unified SQL interface for vector queries on diverse data types
When NOT to use dingo
- If your application strictly demands non-SQL interfaces for querying
- When the Apache-2.0 license is incompatible with your project requirements
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 Sep 20, 2026
- GitHub forks (activeloopai/deeplake) · observed Sep 20, 2026
- Last push (activeloopai/deeplake) · observed May 21, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 30, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (dingodb/dingo) · observed Sep 20, 2026
- GitHub forks (dingodb/dingo) · observed Sep 20, 2026
- Last push (dingodb/dingo) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: deeplake 9.2k · dingo 1.7k (synced Sep 20, 2026).
Common questions
- What is the difference between deeplake and dingo?
- deeplake: AI Data Runtime for Agents. dingo: A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data. See the comparison table for live GitHub stats and shared categories.
- When should I choose deeplake over dingo?
- Choose deeplake over dingo when deeplake is primarily C++; dingo is Java; Pricing: Deeplake offers a free tier with options for premium services, though specific pricing details are not provided in the repository.; Requirements: Min 4 GB RAM; Installation can be done via pip, making it accessible for Python environments.; Tags unique to deeplake: agent, agentic-rag, ai, clawbot; Also covers Model Training; When you need a serverless PostgreSQL setup integrated with a multimodal data lake for efficient data retrieval and training.
- When should I choose dingo over deeplake?
- Choose dingo over deeplake when dingo is primarily Java; deeplake is C++; Tags unique to dingo: embedding-search, embedding-store, hybrid-search, key-value-distributed-store; You need a unified SQL interface for vector queries on diverse data types.
- When should I avoid deeplake?
- If your project does not require serverless PostgreSQL or multimodal data handling capabilities. When you are looking for a solution that does not support C++ as the primary language, as Deeplake is built with C++. If your use case does not benefit from the specific integration of PostgreSQL with a data lake, and you prefer a more traditional database setup.
- When should I avoid dingo?
- If your application strictly demands non-SQL interfaces for querying When the Apache-2.0 license is incompatible with your project requirements
- Is deeplake or dingo more popular on GitHub?
- deeplake has more GitHub stars (9,239 vs 1,704). Stars measure visibility, not whether either tool fits your constraints.
- Are deeplake and dingo open source?
- Yes - both are open-source projects on GitHub (deeplake: Apache-2.0, dingo: Apache-2.0).
- Where can I find alternatives to deeplake or dingo?
- GraphCanon lists graph-backed alternatives at deeplake alternatives and dingo alternatives (deeplake markdown twin, dingo 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 dingo?
- deeplake: Slowing. dingo: Steady. 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 dingo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deeplake trust report; dingo trust report.