Comparison
embedbase vs dingo
Verdict
Pick embedbase if embedbase is a TypeScript-based API designed to facilitate the creation of Large Language Model (LLM) powered applications via integrations with embeddings and vector databases; 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 · embedbase alternatives · dingo alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | embedbase | dingo |
|---|---|---|
| Maintenance | Dormant (601d since push) As of 3w · github_public_v1 | Active (11d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 4w · 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
- embedbase
- A dead-simple API to build LLM-powered apps
- dingo
- A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data
Stars
- embedbase
- 524
- dingo
- 1.7k
Forks
- embedbase
- 55
- dingo
- 264
Open issues
- embedbase
- 35
- dingo
- 8
Language
- embedbase
- TypeScript
- dingo
- Java
Adopt for
- embedbase
- Embedbase is a TypeScript-based API designed to facilitate the creation of Large Language Model (LLM) powered applications via integrations with embeddings and vector databases.
- dingo
- DingoDB is a MySQL-compatible database designed for handling both structured and unstructured data with support for real-time semantic search.
Persona
- embedbase
- -
- dingo
- -
Runtime
- embedbase
- -
- dingo
- -
License
- embedbase
- MIT
- dingo
- Apache-2.0
Last pushed
- embedbase
- Nov 27, 2024
- dingo
- Jul 10, 2026
Categories
- embedbase
- Data & Retrieval, Vector Databases
- dingo
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- embedbase
- Dormant (18%)
- dingo
- Active (82%)
Days since push
- embedbase
- 601d
- dingo
- 11d
Open issues (now)
- embedbase
- 35
- dingo
- 8
Full report
- embedbase
- Trust report
- dingo
- Trust report
Choose embedbase if…
- embedbase is primarily TypeScript; dingo is Java.
- License: embedbase is MIT, dingo is Apache-2.0.
- Tags unique to embedbase: ai, artificial-intelligence, chatgpt, embeddings.
- * Use Embedbase if you require direct integration capabilities specifically designed for embeddings and vector databases, like pgvector or Supabase.
When NOT to use embedbase
- * Avoid using Embedbase if your application's technology stack cannot effectively integrate TypeScript, as its primary language support is in this framework and not others like Python.
- * Do not use it when you need extensive customization options for the vector database configurations beyond what pgvector or Supabase offers.
Choose dingo if…
- dingo is primarily Java; embedbase is TypeScript.
- License: dingo is Apache-2.0, embedbase is MIT.
- 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 (different-ai/embedbase) · observed Jul 22, 2026
- GitHub forks (different-ai/embedbase) · observed Jul 22, 2026
- Last push (different-ai/embedbase) · observed Nov 27, 2024
- License file (MIT) · observed Jul 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (dingodb/dingo) · observed Jul 22, 2026
- GitHub forks (dingodb/dingo) · observed Jul 22, 2026
- Last push (dingodb/dingo) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: embedbase 524 · dingo 1.7k (synced Jul 22, 2026).
Common questions
- What is the difference between embedbase and dingo?
- embedbase: A dead-simple API to build LLM-powered apps. 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 embedbase over dingo?
- Choose embedbase over dingo when embedbase is primarily TypeScript; dingo is Java; License: embedbase is MIT, dingo is Apache-2.0; Tags unique to embedbase: ai, artificial-intelligence, chatgpt, embeddings; * Use Embedbase if you require direct integration capabilities specifically designed for embeddings and vector databases, like pgvector or Supabase.
- When should I choose dingo over embedbase?
- Choose dingo over embedbase when dingo is primarily Java; embedbase is TypeScript; License: dingo is Apache-2.0, embedbase is MIT; 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 embedbase?
- * Avoid using Embedbase if your application's technology stack cannot effectively integrate TypeScript, as its primary language support is in this framework and not others like Python. * Do not use it when you need extensive customization options for the vector database configurations beyond what pgvector or Supabase offers.
- 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 embedbase or dingo more popular on GitHub?
- dingo has more GitHub stars (1,699 vs 524). Stars measure visibility, not whether either tool fits your constraints.
- Are embedbase and dingo open source?
- Yes - both are open-source projects on GitHub (embedbase: MIT, dingo: Apache-2.0).
- Where can I find alternatives to embedbase or dingo?
- GraphCanon lists graph-backed alternatives at embedbase alternatives and dingo alternatives (embedbase 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, embedbase or dingo?
- embedbase: Dormant. dingo: 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 embedbase and dingo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: embedbase trust report; dingo trust report.