Comparison
deeplake vs raglite
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 raglite if rAGLite offers specialized capabilities for integrating Retrieval-Augmented Generation (RAG) models with DuckDB or PostgreSQL.
Markdown twin · deeplake alternatives · raglite alternatives
GraphCanon updated Sep 30, 2026
7views this month
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Trust & integrity
| Signal | deeplake | raglite |
|---|---|---|
| Maintenance | Slowing (119d since push) As of Sep 18, 2026 · github_public_v1 | Steady (33d 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
- raglite
- Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
Stars
- deeplake
- 9.2k
- raglite
- 1.2k
Forks
- deeplake
- 722
- raglite
- 109
Open issues
- deeplake
- 67
- raglite
- 14
Language
- deeplake
- C++
- raglite
- Python
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.
- raglite
- RAGLite offers specialized capabilities for integrating Retrieval-Augmented Generation (RAG) models with DuckDB or PostgreSQL.
Persona
- deeplake
- -
- raglite
- -
Runtime
- deeplake
- -
- raglite
- -
License
- deeplake
- Deeplake is available under the Apache-2.0 license, allowing for free use, modification, and distribution.
- raglite
- MPL-2.0
Last pushed
- deeplake
- May 21, 2026
- raglite
- Aug 17, 2026
Categories
- deeplake
- Data & Retrieval, Model Training, Vector Databases
- raglite
- Data & Retrieval, Model Training
Trust and health
Maintenance
- deeplake
- Slowing (36%)
- raglite
- Steady (60%)
Days since push
- deeplake
- 119d
- raglite
- 33d
Open issues (now)
- deeplake
- 67
- raglite
- 14
Stars delta
- deeplake
- +15 (30d)
- raglite
- +6 (30d)
Open issues delta
- deeplake
- +4 (30d)
- raglite
- +1 (30d)
Full report
- deeplake
- Trust report
- raglite
- Trust report
Shared compatibility
- Python · deeplake: Python runtime · raglite: Python runtime
Choose deeplake if…
- deeplake is primarily C++; raglite is Python.
- License: deeplake is Apache-2.0, raglite is MPL-2.0.
- 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 Vector Databases.
- 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 raglite if…
- raglite is primarily Python; deeplake is C++.
- License: raglite is MPL-2.0, deeplake is Apache-2.0.
- Tags unique to raglite: chainlit, colbert, duckdb, evals.
- raglite ships Docker support for self-hosted deployment.
- - You need to leverage Retriever-Reader architectures specifically optimized for either DuckDB or PostgreSQL backend databases.
When NOT to use raglite
- - The project demands integration with RAG systems that natively support database backends other than DuckDB and PostgreSQL, as RAGLite is limited to these two options.
- - You are looking for a more generalized framework that supports multiple vector search engines besides those compatible with DuckDB or PostgreSQL.
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 (superlinear-ai/raglite) · observed Sep 20, 2026
- GitHub forks (superlinear-ai/raglite) · observed Sep 20, 2026
- Last push (superlinear-ai/raglite) · observed Aug 17, 2026
- License file (MPL-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 · raglite 1.2k (synced Sep 20, 2026).
Common questions
- What is the difference between deeplake and raglite?
- deeplake: AI Data Runtime for Agents. raglite: Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL. See the comparison table for live GitHub stats and shared categories.
- When should I choose deeplake over raglite?
- Choose deeplake over raglite when deeplake is primarily C++; raglite is Python; License: deeplake is Apache-2.0, raglite is MPL-2.0; 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 Vector Databases; When you need a serverless PostgreSQL setup integrated with a multimodal data lake for efficient data retrieval and training.
- When should I choose raglite over deeplake?
- Choose raglite over deeplake when raglite is primarily Python; deeplake is C++; License: raglite is MPL-2.0, deeplake is Apache-2.0; Tags unique to raglite: chainlit, colbert, duckdb, evals; raglite ships Docker support for self-hosted deployment; - You need to leverage Retriever-Reader architectures specifically optimized for either DuckDB or PostgreSQL backend databases.
- 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 raglite?
- - The project demands integration with RAG systems that natively support database backends other than DuckDB and PostgreSQL, as RAGLite is limited to these two options. - You are looking for a more generalized framework that supports multiple vector search engines besides those compatible with DuckDB or PostgreSQL.
- Is deeplake or raglite more popular on GitHub?
- deeplake has more GitHub stars (9,239 vs 1,202). Stars measure visibility, not whether either tool fits your constraints.
- Are deeplake and raglite open source?
- Yes - both are open-source projects on GitHub (deeplake: Apache-2.0, raglite: MPL-2.0).
- Where can I find alternatives to deeplake or raglite?
- GraphCanon lists graph-backed alternatives at deeplake alternatives and raglite alternatives (deeplake markdown twin, raglite 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 raglite?
- deeplake: Slowing. raglite: 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 raglite?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deeplake trust report; raglite trust report.