Comparison
WrenAI vs DB-GPT
Verdict
Pick WrenAI if wrenAI transforms natural-language queries into SQL and produces visual reports from over twenty supported data sources using an open context layer; pick DB-GPT if dB-GPT is an open-source framework that integrates with various LLM services, streamlining tasks from reasoning to SQL execution and planning.
Markdown twin · WrenAI alternatives · DB-GPT alternatives
GraphCanon updated 2d
Trust & integrity
| Signal | WrenAI | DB-GPT |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2d · github_public_v1 | Very active (0d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · github_public_v1 | Not a fork · Organization account As of 2d · 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
- WrenAI
- GenBI for AI agents, turns natural-language questions into trusted dashboards and SQL
- DB-GPT
- open-source agentic AI data assistant for the next generation of AI + Data products
Stars
- WrenAI
- 17k
- DB-GPT
- 20k
Forks
- WrenAI
- 2.0k
- DB-GPT
- 2.9k
Open issues
- WrenAI
- 327
- DB-GPT
- 428
Language
- WrenAI
- Python
- DB-GPT
- Python
Adopt for
- WrenAI
- WrenAI transforms natural-language queries into SQL and produces visual reports from over twenty supported data sources using an open context layer.
- DB-GPT
- DB-GPT is an open-source framework that integrates with various LLM services, streamlining tasks from reasoning to SQL execution and planning.
Persona
- WrenAI
- -
- DB-GPT
- -
Runtime
- WrenAI
- -
- DB-GPT
- -
License
- WrenAI
- WrenAI is distributed under an open-source Apache 2.0 license, allowing for broad use, modification, and distribution.
- DB-GPT
- MIT
Last pushed
- WrenAI
- Aug 18, 2026
- DB-GPT
- Aug 17, 2026
Categories
- WrenAI
- AI Agents, Data & Retrieval
- DB-GPT
- Data & Retrieval, LLM Frameworks
Trust and health
Open issues (now)
- WrenAI
- 327
- DB-GPT
- 428
Stars delta
- WrenAI
- +1.3k (30d)
- DB-GPT
- +239 (30d)
Open issues delta
- WrenAI
- -41 (30d)
- DB-GPT
- -5 (30d)
Full report
- WrenAI
- Trust report
- DB-GPT
- Trust report
Typed relationship
WrenAI alternative DB-GPTDB-GPT and WrenAI both provide solutions in the domain of AI-driven data handling and querying, albeit DB-GPT appears to have a broader scope with more integrative goals compared to WrenAI's focus on text-to-SQL.
Shared compatibility
- Python · WrenAI: Python runtime · DB-GPT: Python runtime
Choose WrenAI if…
- License: WrenAI is Other, DB-GPT is MIT.
- Pricing: Free to use with self-hosting capabilities; commercial support available..
- Requirements: Install the CLI using pip (e.g., `pip install wrenai`). Consider regional mirrors like Tsinghua for faster installation in mainland China..
- DB-GPT and WrenAI both provide solutions in the domain of AI-driven data handling and querying, albeit DB-GPT appears to have a broader scope with more integrative goals compared to WrenAI's focus on text-to-SQL.
- Tags unique to WrenAI: agent, bigquery, context-engineering, duckdb.
- Also covers AI Agents.
- When you require a tool that can generate trusted dashboards, charts, and SQL queries directly from natural language inputs.
When NOT to use WrenAI
- For environments where the specific installation instructions for regions like mainland China might be problematic or where direct dependency on certain mirrors could cause operational challenges.
- When a project strictly requires proprietary tools or has licensing constraints that do not align with the Apache 2.0 license of WrenAI.
Choose DB-GPT if…
- License: DB-GPT is MIT, WrenAI is Other.
- DB-GPT and WrenAI both provide solutions in the domain of AI-driven data handling and querying, albeit DB-GPT appears to have a broader scope with more integrative goals compared to WrenAI's focus on text-to-SQL.
- Tags unique to DB-GPT: agents, bgi, database, deepseek.
- Also covers LLM Frameworks.
- DB-GPT ships Docker support for self-hosted deployment.
- - You need a tool that can handle complex data processing and task automation using AI.
When NOT to use DB-GPT
- - You are looking for a heavily community-customized or fine-tuned experience as,DB-GPT's flexibility might be limited compared to more customizable systems.
- - Your use case strictly requires proprietary services and you seek a tool without dependency on third-party LLM services which DB-GPT inherently relies upon.
- - Deployment contexts that strictly adhere to closed-source frameworks or environments where open-source software is restricted might not align well with DB-GPT’s licensing model.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Canner/WrenAI) · observed Aug 18, 2026
- GitHub forks (Canner/WrenAI) · observed Aug 18, 2026
- Last push (Canner/WrenAI) · observed Aug 18, 2026
- License file (Other) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (eosphoros-ai/DB-GPT) · observed Aug 18, 2026
- GitHub forks (eosphoros-ai/DB-GPT) · observed Aug 18, 2026
- Last push (eosphoros-ai/DB-GPT) · observed Aug 17, 2026
- License file (MIT) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: WrenAI 17k · DB-GPT 20k (synced Aug 18, 2026).
Common questions
- What is the difference between WrenAI and DB-GPT?
- WrenAI: GenBI for AI agents, turns natural-language questions into trusted dashboards and SQL. DB-GPT: open-source agentic AI data assistant for the next generation of AI + Data products. See the comparison table for live GitHub stats and shared categories.
- When should I choose WrenAI over DB-GPT?
- Choose WrenAI over DB-GPT when License: WrenAI is Other, DB-GPT is MIT; Pricing: Free to use with self-hosting capabilities; commercial support available.; Requirements: Install the CLI using pip (e.g.,
pip install wrenai). Consider regional mirrors like Tsinghua for faster installation in mainland China.; DB-GPT and WrenAI both provide solutions in the domain of AI-driven data handling and querying, albeit DB-GPT appears to have a broader scope with more integrative goals compared to WrenAI's focus on text-to-SQL; Tags unique to WrenAI: agent, bigquery, context-engineering, duckdb; Also covers AI Agents; When you require a tool that can generate trusted dashboards, charts, and SQL queries directly from natural language inputs. - When should I choose DB-GPT over WrenAI?
- Choose DB-GPT over WrenAI when License: DB-GPT is MIT, WrenAI is Other; DB-GPT and WrenAI both provide solutions in the domain of AI-driven data handling and querying, albeit DB-GPT appears to have a broader scope with more integrative goals compared to WrenAI's focus on text-to-SQL; Tags unique to DB-GPT: agents, bgi, database, deepseek; Also covers LLM Frameworks; DB-GPT ships Docker support for self-hosted deployment; - You need a tool that can handle complex data processing and task automation using AI.
- When should I avoid WrenAI?
- For environments where the specific installation instructions for regions like mainland China might be problematic or where direct dependency on certain mirrors could cause operational challenges. When a project strictly requires proprietary tools or has licensing constraints that do not align with the Apache 2.0 license of WrenAI.
- When should I avoid DB-GPT?
- - You are looking for a heavily community-customized or fine-tuned experience as,DB-GPT's flexibility might be limited compared to more customizable systems. - Your use case strictly requires proprietary services and you seek a tool without dependency on third-party LLM services which DB-GPT inherently relies upon. - Deployment contexts that strictly adhere to closed-source frameworks or environments where open-source software is restricted might not align well with DB-GPT’s licensing model.
- Is WrenAI or DB-GPT more popular on GitHub?
- DB-GPT has more GitHub stars (19,740 vs 17,295). Stars measure visibility, not whether either tool fits your constraints.
- Are WrenAI and DB-GPT open source?
- Yes - both are open-source projects on GitHub (WrenAI: Other, DB-GPT: MIT).
- Where can I find alternatives to WrenAI or DB-GPT?
- GraphCanon lists graph-backed alternatives at WrenAI alternatives and DB-GPT alternatives (WrenAI markdown twin, DB-GPT 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, WrenAI or DB-GPT?
- WrenAI: Very active. DB-GPT: 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 WrenAI and DB-GPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: WrenAI trust report; DB-GPT trust report.