Comparison
DB-GPT vs langflow
Verdict
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; pick langflow if langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems.
Markdown twin · DB-GPT alternatives · langflow alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | DB-GPT | langflow |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · 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 published findings from this source as of 2026-07-11 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
- open-source agentic AI data assistant for the next generation of AI + Data products
- langflow
- Tool for building and deploying AI-powered agents and workflows
Stars
- DB-GPT
- 20k
- langflow
- 153k
Forks
- DB-GPT
- 2.9k
- langflow
- 9.7k
Open issues
- DB-GPT
- 428
- langflow
- 972
Language
- DB-GPT
- Python
- langflow
- Python
Adopt for
- DB-GPT
- DB-GPT is an open-source framework that integrates with various LLM services, streamlining tasks from reasoning to SQL execution and planning.
- langflow
- Langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems.
Persona
- DB-GPT
- -
- langflow
- -
Runtime
- DB-GPT
- -
- langflow
- -
License
- DB-GPT
- MIT
- langflow
- MIT
Last pushed
- DB-GPT
- Aug 17, 2026
- langflow
- Aug 2, 2026
Categories
- DB-GPT
- Data & Retrieval, LLM Frameworks
- langflow
- AI Agents, Model Training
Trust and health
Open issues (now)
- DB-GPT
- 428
- langflow
- 972
Stars delta
- DB-GPT
- +239 (30d)
- langflow
- Unknown
Open issues delta
- DB-GPT
- -5 (30d)
- langflow
- Unknown
OSV dependency advisories
- DB-GPT
- No lockfile (source not queried)
- langflow
- No published findings from this source as of 2026-07-11
Full report
- DB-GPT
- Trust report
- langflow
- Trust report
Typed relationship
DB-GPT alternative langflowLangFlow and DB-GPT are both tools for creating and managing AI-powered agents and workflows, offering varying degrees of functionality but addressing similar needs.
Shared compatibility
- Python · DB-GPT: Python runtime · langflow: Python runtime
Choose DB-GPT if…
- LangFlow and DB-GPT are both tools for creating and managing AI-powered agents and workflows, offering varying degrees of functionality but addressing similar needs.
- Tags unique to DB-GPT: bgi, database, deepseek, gpt.
- Also covers Data & Retrieval, 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.
Choose langflow if…
- Pricing: Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk..
- Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings..
- LangFlow and DB-GPT are both tools for creating and managing AI-powered agents and workflows, offering varying degrees of functionality but addressing similar needs.
- Tags unique to langflow: chatgpt, generative-ai, large language models, multiagent.
- Also covers AI Agents, Model Training.
- Use Langflow if you are working with Python versions from 3.10 to 3.14, as these versions are specifically supported for seamless operation of the tool.
When NOT to use langflow
- Do not use Langflow if your Python environment does not align with version constraints between 3.10 and 3.14.
- Langflow may not be the best fit if you are seeking a platform that operates without any language model integration, as it fundamentally relies on such models for its functionality.
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) · 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 (langflow-ai/langflow) · observed Aug 2, 2026
- GitHub forks (langflow-ai/langflow) · observed Aug 2, 2026
- Last push (langflow-ai/langflow) · observed Aug 2, 2026
- License file (MIT) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DB-GPT 20k · langflow 153k (synced Aug 18, 2026).
Common questions
- What is the difference between DB-GPT and langflow?
- DB-GPT: open-source agentic AI data assistant for the next generation of AI + Data products. langflow: Tool for building and deploying AI-powered agents and workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose DB-GPT over langflow?
- Choose DB-GPT over langflow when LangFlow and DB-GPT are both tools for creating and managing AI-powered agents and workflows, offering varying degrees of functionality but addressing similar needs; Tags unique to DB-GPT: bgi, database, deepseek, gpt; Also covers Data & Retrieval, 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 choose langflow over DB-GPT?
- Choose langflow over DB-GPT when Pricing: Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk.; Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings.; LangFlow and DB-GPT are both tools for creating and managing AI-powered agents and workflows, offering varying degrees of functionality but addressing similar needs; Tags unique to langflow: chatgpt, generative-ai, large language models, multiagent; Also covers AI Agents, Model Training; Use Langflow if you are working with Python versions from 3.10 to 3.14, as these versions are specifically supported for seamless operation of the tool.
- 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.
- When should I avoid langflow?
- Do not use Langflow if your Python environment does not align with version constraints between 3.10 and 3.14. Langflow may not be the best fit if you are seeking a platform that operates without any language model integration, as it fundamentally relies on such models for its functionality.
- Is DB-GPT or langflow more popular on GitHub?
- langflow has more GitHub stars (152,744 vs 19,740). Stars measure visibility, not whether either tool fits your constraints.
- Are DB-GPT and langflow open source?
- Yes - both are open-source projects on GitHub (DB-GPT: MIT, langflow: MIT).
- Where can I find alternatives to DB-GPT or langflow?
- GraphCanon lists graph-backed alternatives at DB-GPT alternatives and langflow alternatives (DB-GPT markdown twin, langflow 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 or langflow?
- DB-GPT: Very active. langflow: 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 DB-GPT and langflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DB-GPT trust report; langflow trust report.