Comparison
DB-GPT-Hub vs MindSQL
Verdict
Pick DB-GPT-Hub if dB-GPT-Hub offers resources for improving DB-GPT's Text-to-SQL capabilities through fine-tuning techniques and relevant datasets; pick MindSQL if mindSQL uses RAG and models like GPT-4 to transform natural language into SQL queries for multiple databases, leveraging vectorstores such as ChromaDB and Faiss.
Markdown twin · DB-GPT-Hub alternatives · MindSQL alternatives
GraphCanon updated 2d
Trust & integrity
| Signal | DB-GPT-Hub | MindSQL |
|---|---|---|
| Maintenance | Dormant (417d since push) As of 2d · github_public_v1 | Dormant (387d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · github_public_v1 | Not a fork · Organization account As of 2w · 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
- DB-GPT-Hub
- Repository for DB-GPT models, datasets, and techniques aimed at Text-to-SQL performance enhancement.
- MindSQL
- A Python Text-to-SQL RAG Library simplifying database interactions with natural language queries.
Stars
- DB-GPT-Hub
- 2.0k
- MindSQL
- 447
Forks
- DB-GPT-Hub
- 250
- MindSQL
- 48
Open issues
- DB-GPT-Hub
- 73
- MindSQL
- 10
Language
- DB-GPT-Hub
- Python
- MindSQL
- Python
Adopt for
- DB-GPT-Hub
- DB-GPT-Hub offers resources for improving DB-GPT's Text-to-SQL capabilities through fine-tuning techniques and relevant datasets.
- MindSQL
- MindSQL uses RAG and models like GPT-4 to transform natural language into SQL queries for multiple databases, leveraging vectorstores such as ChromaDB and Faiss.
Persona
- DB-GPT-Hub
- -
- MindSQL
- -
Runtime
- DB-GPT-Hub
- -
- MindSQL
- -
License
- DB-GPT-Hub
- MIT
- MindSQL
- GPL-3.0
Last pushed
- DB-GPT-Hub
- Jul 2, 2025
- MindSQL
- Jul 16, 2025
Categories
- DB-GPT-Hub
- LLM Frameworks, Model Training
- MindSQL
- Data & Retrieval, Model Training
Trust and health
Days since push
- DB-GPT-Hub
- 417d
- MindSQL
- 387d
Open issues (now)
- DB-GPT-Hub
- 73
- MindSQL
- 10
Stars delta
- DB-GPT-Hub
- +5 (30d)
- MindSQL
- Unknown
Open issues delta
- DB-GPT-Hub
- 0 (30d)
- MindSQL
- Unknown
Full report
- DB-GPT-Hub
- Trust report
- MindSQL
- Trust report
Shared compatibility
- Python · DB-GPT-Hub: Python runtime · MindSQL: Python runtime
Choose DB-GPT-Hub if…
- License: DB-GPT-Hub is MIT, MindSQL is GPL-3.0.
- Tags unique to DB-GPT-Hub: database, datasets, fine-tuning, gpt.
- Also covers LLM Frameworks.
- Use when you need to improve Text-to-SQL performance specifically with the DB-GPT model, as this repository is specialized for enhancing its functionalities.
When NOT to use DB-GPT-Hub
- Avoid using when your project does not involve the DB-GPT model, as resources and techniques here are tailor-made for this specific model.
- Do not utilize if you require immediate results without the need for model customization or performance enhancement through fine-tuning.
Choose MindSQL if…
- License: MindSQL is GPL-3.0, DB-GPT-Hub is MIT.
- Tags unique to MindSQL: chatbot, langchain, rag, retrival-augmented.
- Also covers Data & Retrieval.
- - When you require text-to-SQL conversion that supports PostgreSQL, MySQL, SQLite, Snowflake, BigQuery with advanced context-aware responses powered by GPT-4 and Llama 2
When NOT to use MindSQL
- - If your project only supports Python versions below 3.10, since MindSQL requires at least Python 3.10
- - When using incompatible databases not listed such as Oracle, Microsoft SQL Server, because MindSQL's database support is limited to PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (eosphoros-ai/DB-GPT-Hub) · observed Aug 24, 2026
- GitHub forks (eosphoros-ai/DB-GPT-Hub) · observed Aug 24, 2026
- Last push (eosphoros-ai/DB-GPT-Hub) · observed Jul 2, 2025
- License file (MIT) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Mindinventory/MindSQL) · observed Aug 7, 2026
- GitHub forks (Mindinventory/MindSQL) · observed Aug 7, 2026
- Last push (Mindinventory/MindSQL) · observed Jul 16, 2025
- License file (GPL-3.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DB-GPT-Hub 2.0k · MindSQL 447 (synced Aug 24, 2026).
Common questions
- What is the difference between DB-GPT-Hub and MindSQL?
- DB-GPT-Hub: Repository for DB-GPT models, datasets, and techniques aimed at Text-to-SQL performance enhancement.. MindSQL: A Python Text-to-SQL RAG Library simplifying database interactions with natural language queries.. See the comparison table for live GitHub stats and shared categories.
- When should I choose DB-GPT-Hub over MindSQL?
- Choose DB-GPT-Hub over MindSQL when License: DB-GPT-Hub is MIT, MindSQL is GPL-3.0; Tags unique to DB-GPT-Hub: database, datasets, fine-tuning, gpt; Also covers LLM Frameworks; Use when you need to improve Text-to-SQL performance specifically with the DB-GPT model, as this repository is specialized for enhancing its functionalities.
- When should I choose MindSQL over DB-GPT-Hub?
- Choose MindSQL over DB-GPT-Hub when License: MindSQL is GPL-3.0, DB-GPT-Hub is MIT; Tags unique to MindSQL: chatbot, langchain, rag, retrival-augmented; Also covers Data & Retrieval; - When you require text-to-SQL conversion that supports PostgreSQL, MySQL, SQLite, Snowflake, BigQuery with advanced context-aware responses powered by GPT-4 and Llama 2.
- When should I avoid DB-GPT-Hub?
- Avoid using when your project does not involve the DB-GPT model, as resources and techniques here are tailor-made for this specific model. Do not utilize if you require immediate results without the need for model customization or performance enhancement through fine-tuning.
- When should I avoid MindSQL?
- - If your project only supports Python versions below 3.10, since MindSQL requires at least Python 3.10 - When using incompatible databases not listed such as Oracle, Microsoft SQL Server, because MindSQL's database support is limited to PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery
- Is DB-GPT-Hub or MindSQL more popular on GitHub?
- DB-GPT-Hub has more GitHub stars (2,006 vs 447). Stars measure visibility, not whether either tool fits your constraints.
- Are DB-GPT-Hub and MindSQL open source?
- Yes - both are open-source projects on GitHub (DB-GPT-Hub: MIT, MindSQL: GPL-3.0).
- Where can I find alternatives to DB-GPT-Hub or MindSQL?
- GraphCanon lists graph-backed alternatives at DB-GPT-Hub alternatives and MindSQL alternatives (DB-GPT-Hub markdown twin, MindSQL 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, DB-GPT-Hub or MindSQL?
- DB-GPT-Hub: Dormant. MindSQL: Dormant. 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 DB-GPT-Hub and MindSQL?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DB-GPT-Hub trust report; MindSQL trust report.