Comparison
do-not-answer vs autogen
Verdict
Pick do-not-answer when do-not-answer is primarily Jupyter Notebook; autogen is Python; pick autogen when autogen is primarily Python; do-not-answer is Jupyter Notebook.
Markdown twin · do-not-answer alternatives · autogen alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | do-not-answer | autogen |
|---|---|---|
| Maintenance | Dormant (764d 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
- do-not-answer
- Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs
- autogen
- A programming framework for agentic AI
Stars
- do-not-answer
- 334
- autogen
- 60k
Forks
- do-not-answer
- 29
- autogen
- 9.0k
Open issues
- do-not-answer
- 0
- autogen
- 945
Language
- do-not-answer
- Jupyter Notebook
- autogen
- Python
Adopt for
- do-not-answer
- -
- 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
- do-not-answer
- -
- autogen
- -
Runtime
- do-not-answer
- -
- autogen
- -
License
- do-not-answer
- Apache-2.0
- autogen
- CC-BY-4.0
Last pushed
- do-not-answer
- Jun 7, 2024
- autogen
- Apr 15, 2026
Categories
- do-not-answer
- LLM Frameworks, Evaluation & Observability
- autogen
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- do-not-answer
- Dormant (18%)
- autogen
- Steady (60%)
Days since push
- do-not-answer
- 764d
- autogen
- 87d
Open issues (now)
- do-not-answer
- 0
- autogen
- 945
Full report
- do-not-answer
- Trust report
- autogen
- Trust report
Choose do-not-answer if…
- do-not-answer is primarily Jupyter Notebook; autogen is Python.
- License: do-not-answer is Apache-2.0, autogen is CC-BY-4.0.
- Tags unique to do-not-answer: jupyter notebook.
- Also covers Evaluation & Observability.
When NOT to use do-not-answer
- Last GitHub push was 764 days ago (dormant maintenance, Jun 7, 2024). Validate activity before betting a new project on do-not-answer.
- 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…
- autogen is primarily Python; do-not-answer is Jupyter Notebook.
- License: autogen is CC-BY-4.0, do-not-answer 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 (Libr-AI/do-not-answer) · observed Jul 11, 2026
- GitHub forks (Libr-AI/do-not-answer) · observed Jul 11, 2026
- Last push (Libr-AI/do-not-answer) · observed Jun 7, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/autogen) · observed Jul 11, 2026
- GitHub forks (microsoft/autogen) · observed Jul 11, 2026
- Last push (microsoft/autogen) · observed Apr 15, 2026
- License file (CC-BY-4.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: do-not-answer 334 · autogen 60k (synced Jul 11, 2026).
Common questions
- What is the difference between do-not-answer and autogen?
- do-not-answer: Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose do-not-answer over autogen?
- Choose do-not-answer over autogen when do-not-answer is primarily Jupyter Notebook; autogen is Python; License: do-not-answer is Apache-2.0, autogen is CC-BY-4.0; Tags unique to do-not-answer: jupyter notebook; Also covers Evaluation & Observability.
- When should I choose autogen over do-not-answer?
- Choose autogen over do-not-answer when autogen is primarily Python; do-not-answer is Jupyter Notebook; License: autogen is CC-BY-4.0, do-not-answer 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 do-not-answer?
- Last GitHub push was 764 days ago (dormant maintenance, Jun 7, 2024). Validate activity before betting a new project on do-not-answer. 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 do-not-answer or autogen more popular on GitHub?
- autogen has more GitHub stars (59,658 vs 334). Stars measure visibility, not whether either tool fits your constraints.
- Are do-not-answer and autogen open source?
- Yes - both are open-source projects on GitHub (do-not-answer: Apache-2.0, autogen: CC-BY-4.0).
- Where can I find alternatives to do-not-answer or autogen?
- GraphCanon lists graph-backed alternatives at do-not-answer alternatives and autogen alternatives (do-not-answer 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, do-not-answer or autogen?
- do-not-answer: 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 do-not-answer and autogen?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: do-not-answer trust report; autogen trust report.