--- title: "WrenAI vs DB-GPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/canner-wrenai-vs-eosphoros-ai-db-gpt" tools: ["canner-wrenai", "eosphoros-ai-db-gpt"] --- # WrenAI vs DB-GPT Neutral, constraint-first comparison with live GitHub stats. | | [WrenAI](/tools/canner-wrenai.md) | [DB-GPT](/tools/eosphoros-ai-db-gpt.md) | | --- | --- | --- | | Tagline | Generative BI for AI agents, an open-source text-to-SQL solution. | open-source agentic AI data assistant for the next generation of AI + Data products | | Stars | 15,754 | 19,418 | | Forks | 1,802 | 2,806 | | Open issues | 336 | 426 | | Language | Python | Python | | Adopt for | WrenAI transforms natural language questions into trusted SQL and dashboards. It utilizes an open context layer for governance across multiple data sources. | An open-source agentic AI data assistant that connects to various data sources, autonomously writes SQL, runs Python-driven analyses, and produces insights and reports. | | Persona | - | - | | Runtime | - | - | | License | Other | DB-GPT offers its services under an MIT license which permits reuse within both free and proprietary software, allowing modifications but requires retention of copyright and permission notices. | | Categories | Data & Retrieval, AI Agents | Data & Retrieval, AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [WrenAI](/tools/canner-wrenai.md) | [DB-GPT](/tools/eosphoros-ai-db-gpt.md) | | --- | --- | --- | | Days since push | 0d | 3d | | Open issues (now) | 336 | 426 | | Full report | [trust report](/tools/canner-wrenai/trust.md) | [trust report](/tools/eosphoros-ai-db-gpt/trust.md) | **Typed relationship:** WrenAI _(alternative)_ DB-GPT 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. ## Decision facts: WrenAI - **Adopt for:** WrenAI transforms natural language questions into trusted SQL and dashboards. It utilizes an open context layer for governance across multiple data sources. ## Decision facts: DB-GPT - **Pricing:** freemium - Open-source project under the MIT License with no associated direct costs. - **Requirements:** Min 4 GB RAM; Requires Docker; Requires integration with databases, CSV/Excel files, warehouses, and knowledge bases to be functional. - **Adopt for:** An open-source agentic AI data assistant that connects to various data sources, autonomously writes SQL, runs Python-driven analyses, and produces insights and reports. - **License detail:** DB-GPT offers its services under an MIT license which permits reuse within both free and proprietary software, allowing modifications but requires retention of copyright and permission notices. ## Choose when ### Choose WrenAI if… - License: WrenAI is Other, DB-GPT is MIT. - 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: genbi, charts, duckdb, openai. - - When you need a comprehensive solution that goes beyond text-to-SQL, offering end-to-end generative BI capabilities that turn business questions into governed SQL and shareable dashboards. ### Choose DB-GPT if… - License: DB-GPT is MIT, WrenAI is Other. - Pricing: Open-source project under the MIT License with no associated direct costs.. - Requirements: Min 4 GB RAM; Requires Docker; Requires integration with databases, CSV/Excel files, warehouses, and knowledge bases to be functional.. - 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: deepseek, agents, hacktoberfest, bgi. - DB-GPT ships Docker support for self-hosted deployment. - - When you need an advanced tool for connecting to different types of data sources such as databases, CSV/Excel files, warehouses, and knowledge bases. ## When NOT to use WrenAI - - If your data environment does not align well with WrenAI's supported databases (e.g., BigQuery, Snowflake), or if you need integration with more specialized, niche database solutions. - - When the priority is on using proprietary tools where every aspect of the solution is locked into a single vendor’s ecosystem and open-source solutions are less desirable. ## When NOT to use DB-GPT - - When you are looking for a fully proprietary solution as DB-GPT is an open-source product that might require more community-driven support rather than dedicated customer service. - - If your project requires integration with specific data sources or systems not well-supported by DB-GPT’s current setup, including those requiring high-level security configurations that may differ. - - In scenarios where customization beyond the existing functionalities provided by the tool is required and you lack the resources or skills to modify it due to its open-source nature. ## Common questions ### What is the difference between WrenAI and DB-GPT? WrenAI: Generative BI for AI agents, an open-source text-to-SQL solution.. 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; 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: genbi, charts, duckdb, openai; - When you need a comprehensive solution that goes beyond text-to-SQL, offering end-to-end generative BI capabilities that turn business questions into governed SQL and shareable dashboards. ### When should I choose DB-GPT over WrenAI? Choose DB-GPT over WrenAI when License: DB-GPT is MIT, WrenAI is Other; Pricing: Open-source project under the MIT License with no associated direct costs.; Requirements: Min 4 GB RAM; Requires Docker; Requires integration with databases, CSV/Excel files, warehouses, and knowledge bases to be functional.; 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: deepseek, agents, hacktoberfest, bgi; DB-GPT ships Docker support for self-hosted deployment; - When you need an advanced tool for connecting to different types of data sources such as databases, CSV/Excel files, warehouses, and knowledge bases. ### When should I avoid WrenAI? - If your data environment does not align well with WrenAI's supported databases (e.g., BigQuery, Snowflake), or if you need integration with more specialized, niche database solutions. - When the priority is on using proprietary tools where every aspect of the solution is locked into a single vendor’s ecosystem and open-source solutions are less desirable. ### When should I avoid DB-GPT? - When you are looking for a fully proprietary solution as DB-GPT is an open-source product that might require more community-driven support rather than dedicated customer service. - If your project requires integration with specific data sources or systems not well-supported by DB-GPT’s current setup, including those requiring high-level security configurations that may differ. - In scenarios where customization beyond the existing functionalities provided by the tool is required and you lack the resources or skills to modify it due to its open-source nature. ### Is WrenAI or DB-GPT more popular on GitHub? DB-GPT has more GitHub stars (19,418 vs 15,754). 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 /tools/canner-wrenai/alternatives and /tools/eosphoros-ai-db-gpt/alternatives (/tools/canner-wrenai/alternatives.md, /tools/eosphoros-ai-db-gpt/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/canner-wrenai-vs-eosphoros-ai-db-gpt.md 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: /tools/canner-wrenai/trust; DB-GPT: /tools/eosphoros-ai-db-gpt/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=canner-wrenai`](/api/graphcanon/graph?tool=canner-wrenai) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_