Home/Compare/deepeval vs autogen

Comparison

deepeval vs autogen

Verdict

Pick deepeval when license: deepeval is Apache-2.0, autogen is CC-BY-4.0; pick autogen when license: autogen is CC-BY-4.0, deepeval is Apache-2.0.

Markdown twin · deepeval alternatives · autogen alternatives

GraphCanon updated today

deepeval logo

deepeval

confident-ai/deepeval

17kpushed Jul 10, 2026
vs
autogen logo

autogen

microsoft/autogen

60kpushed Apr 15, 2026

Trust & integrity

Signaldeepevalautogen
Maintenance
Very active (0d 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

Tagline

deepeval
The LLM Evaluation Framework
autogen
A programming framework for agentic AI

Stars

deepeval
17k
autogen
60k

Forks

deepeval
1.6k
autogen
9.0k

Open issues

deepeval
334
autogen
945

Language

deepeval
Python
autogen
Python

Adopt for

deepeval
-
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

deepeval
-
autogen
-

Runtime

deepeval
-
autogen
-

License

deepeval
Apache-2.0
autogen
CC-BY-4.0

Last pushed

deepeval
Jul 10, 2026
autogen
Apr 15, 2026

Categories

deepeval
LLM Frameworks, Evaluation & Observability
autogen
AI Agents, LLM Frameworks

Trust and health

Maintenance

deepeval
Very active (96%)
autogen
Steady (60%)

Days since push

deepeval
0d
autogen
87d

Open issues (now)

deepeval
334
autogen
945

Full report

deepeval
Trust report

Choose deepeval if…

  • License: deepeval is Apache-2.0, autogen is CC-BY-4.0.
  • Tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics.
  • Also covers Evaluation & Observability.

When NOT to use deepeval

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

Choose autogen if…

  • License: autogen is CC-BY-4.0, deepeval is Apache-2.0.
  • 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.

Explore

Sources

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

GitHub stars on cards: deepeval 17k · autogen 60k (synced Jul 11, 2026).

Common questions

What is the difference between deepeval and autogen?
deepeval: The LLM Evaluation Framework. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories.
When should I choose deepeval over autogen?
Choose deepeval over autogen when License: deepeval is Apache-2.0, autogen is CC-BY-4.0; Tags unique to deepeval: python, llm-evaluation-framework, evaluation-metrics, llm-evaluation-metrics; Also covers Evaluation & Observability.
When should I choose autogen over deepeval?
Choose autogen over deepeval when License: autogen is CC-BY-4.0, deepeval is Apache-2.0; 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 deepeval?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
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 deepeval or autogen more popular on GitHub?
autogen has more GitHub stars (59,658 vs 16,767). Stars measure visibility, not whether either tool fits your constraints.
Are deepeval and autogen open source?
Yes - both are open-source projects on GitHub (deepeval: Apache-2.0, autogen: CC-BY-4.0).
Where can I find alternatives to deepeval or autogen?
GraphCanon lists graph-backed alternatives at deepeval alternatives and autogen alternatives (deepeval 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, deepeval or autogen?
deepeval: Very active. 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 deepeval and autogen?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deepeval trust report; autogen trust report.