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Comparison

DB-GPT-Hub vs autogen

Verdict

Pick DB-GPT-Hub when license: DB-GPT-Hub is MIT, autogen is CC-BY-4.0; pick autogen when license: autogen is CC-BY-4.0, DB-GPT-Hub is MIT.

Markdown twin · DB-GPT-Hub alternatives · autogen alternatives

GraphCanon updated today

DB-GPT-Hub logo

DB-GPT-Hub

eosphoros-ai/DB-GPT-Hub

★ 2.0kpushed Jul 2, 2025
vs
autogen logo

autogen

microsoft/autogen

★ 60kpushed Apr 15, 2026

Trust & integrity

SignalDB-GPT-Hubautogen
Maintenance
Dormant (374d since push)
As of today · github_public_v1
Steady (87d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none
DB-GPT-Hub trust reportautogen trust reportTrust methodology

Tagline

DB-GPT-Hub
A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
autogen
A programming framework for agentic AI

Stars

DB-GPT-Hub
2.0k
autogen
60k

Forks

DB-GPT-Hub
250
autogen
9.0k

Open issues

DB-GPT-Hub
73
autogen
945

Language

DB-GPT-Hub
Python
autogen
Python

Adopt for

DB-GPT-Hub
-
autogen
AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models.

Persona

DB-GPT-Hub
-
autogen
-

Runtime

DB-GPT-Hub
-
autogen
-

License

DB-GPT-Hub
MIT
autogen
CC-BY-4.0

Last pushed

DB-GPT-Hub
Jul 2, 2025
autogen
Apr 15, 2026

Categories

DB-GPT-Hub
LLM Frameworks
autogen
LLM Frameworks, AI Agents

Trust and health

Maintenance

DB-GPT-Hub
Dormant (18%)
autogen
Steady (60%)

Days since push

DB-GPT-Hub
374d
autogen
87d

Open issues (now)

DB-GPT-Hub
73
autogen
945

Full report

DB-GPT-Hub
Trust report
autogen
Trust report

Choose DB-GPT-Hub if…

  • License: DB-GPT-Hub is MIT, autogen is CC-BY-4.0.
  • Tags unique to DB-GPT-Hub: fine-tuning, llm, datasets, hacktoberfest.
  • Leaner open-issue backlog (73).

When NOT to use DB-GPT-Hub

  • Last GitHub push was 375 days ago (dormant maintenance, Jul 2, 2025). Validate activity before betting a new project on DB-GPT-Hub.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
GitHubDetails

Choose autogen if…

  • License: autogen is CC-BY-4.0, DB-GPT-Hub is MIT.
  • Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure..
  • Tags unique to autogen: llm-framework, autogen, agents, ai.
  • Also covers AI Agents.
  • You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.

When NOT to use autogen

  • If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework.
  • When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited.
  • You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities.
GitHubDetails

Explore

DB-GPT-Hub trust report →autogen trust report →LLM Frameworks category →AI Agents category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: DB-GPT-Hub 2.0k · autogen 60k (synced Jul 11, 2026).

Common questions

What is the difference between DB-GPT-Hub and autogen?
DB-GPT-Hub: A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories.
When should I choose DB-GPT-Hub over autogen?
Choose DB-GPT-Hub over autogen when License: DB-GPT-Hub is MIT, autogen is CC-BY-4.0; Tags unique to DB-GPT-Hub: fine-tuning, llm, datasets, hacktoberfest; Leaner open-issue backlog (73).
When should I choose autogen over DB-GPT-Hub?
Choose autogen over DB-GPT-Hub when License: autogen is CC-BY-4.0, DB-GPT-Hub is MIT; Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.; Tags unique to autogen: llm-framework, autogen, agents, ai; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
When should I avoid DB-GPT-Hub?
Last GitHub push was 375 days ago (dormant maintenance, Jul 2, 2025). Validate activity before betting a new project on DB-GPT-Hub. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
When should I avoid autogen?
If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. You need solutions which do not involve additional installations for server components such as playwright/mcp, as AutoGen requires this setup for certain functionalities.
Is DB-GPT-Hub or autogen more popular on GitHub?
autogen has more GitHub stars (59,658 vs 1,997). Stars measure visibility, not whether either tool fits your constraints.
Are DB-GPT-Hub and autogen open source?
Yes - both are open-source projects on GitHub (DB-GPT-Hub: MIT, autogen: CC-BY-4.0).
Where can I find alternatives to DB-GPT-Hub or autogen?
GraphCanon lists graph-backed alternatives at DB-GPT-Hub alternatives and autogen alternatives (DB-GPT-Hub markdown twin, autogen 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 autogen?
DB-GPT-Hub: Dormant. autogen: Steady. 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 autogen?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DB-GPT-Hub trust report; autogen trust report.