--- title: "novice-ChatGPT vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aiplaybookin-novice-chatgpt-vs-microsoft-autogen" tools: ["aiplaybookin-novice-chatgpt", "microsoft-autogen"] --- # novice-ChatGPT vs autogen *GraphCanon updated Jul 15, 2026* ## Verdict Pick novice-ChatGPT when novice-ChatGPT is primarily Jupyter Notebook; autogen is Python; pick autogen when autogen is primarily Python; novice-ChatGPT is Jupyter Notebook. [novice-ChatGPT](https://github.com/aiplaybookin/novice-ChatGPT) reports 126 GitHub stars, 17 forks, and 0 open issues, last pushed Aug 16, 2024. [autogen](https://microsoft.github.io/autogen/) has 60k stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 2026. Figures are from public GitHub metadata via [novice-ChatGPT's repository](https://github.com/aiplaybookin/novice-ChatGPT) and [autogen's repository](https://github.com/microsoft/autogen). | | [novice-ChatGPT](/tools/aiplaybookin-novice-chatgpt.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | ChatGPT API Usage using LangChain, LlamaIndex, Guardrails, AutoGPT and more | A programming framework for agentic AI | | Stars | 126 | 59,658 | | Forks | 17 | 8,983 | | Open issues | 0 | 945 | | Language | Jupyter Notebook | Python | | Adopt for | - | 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 | - | - | | Runtime | - | - | | License | - | CC-BY-4.0 | | Categories | Computer Vision, LLM Frameworks, Speech & Audio | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [novice-ChatGPT](/tools/aiplaybookin-novice-chatgpt.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 698d | 87d | | Open issues (now) | 0 | 945 | | Owner type | User | Organization | | Full report | [trust report](/tools/aiplaybookin-novice-chatgpt/trust.md) | [trust report](/tools/microsoft-autogen/trust.md) | ## Shared compatibility - **Python**: [novice-ChatGPT](/tools/aiplaybookin-novice-chatgpt.md) - Python runtime; [autogen](/tools/microsoft-autogen.md) - Python runtime ## Decision facts: autogen - **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. - **Adopt for:** 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. ## Choose when ### Choose novice-ChatGPT if… - novice-ChatGPT is primarily Jupyter Notebook; autogen is Python. - Tags unique to novice-ChatGPT: autogpt, gpt4, guardrails, jupyter-notebook. - Also covers Computer Vision, Speech & Audio. ### Choose autogen if… - autogen is primarily Python; novice-ChatGPT is Jupyter Notebook. - 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: agentic-agi, agents, ai, autogen. - 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 novice-ChatGPT - Last GitHub push was 698 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on novice-ChatGPT. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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. ## Common questions ### What is the difference between novice-ChatGPT and autogen? novice-ChatGPT: ChatGPT API Usage using LangChain, LlamaIndex, Guardrails, AutoGPT and more. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose novice-ChatGPT over autogen? Choose novice-ChatGPT over autogen when novice-ChatGPT is primarily Jupyter Notebook; autogen is Python; Tags unique to novice-ChatGPT: autogpt, gpt4, guardrails, jupyter-notebook; Also covers Computer Vision, Speech & Audio. ### When should I choose autogen over novice-ChatGPT? Choose autogen over novice-ChatGPT when autogen is primarily Python; novice-ChatGPT is Jupyter Notebook; 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: agentic-agi, agents, ai, autogen; 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 novice-ChatGPT? Last GitHub push was 698 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on novice-ChatGPT. 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 novice-ChatGPT or autogen more popular on GitHub? autogen has more GitHub stars (59,658 vs 126). Stars measure visibility, not whether either tool fits your constraints. ### Are novice-ChatGPT and autogen open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to novice-ChatGPT or autogen? GraphCanon lists graph-backed alternatives at [novice-ChatGPT alternatives](/tools/aiplaybookin-novice-chatgpt/alternatives) and [autogen alternatives](/tools/microsoft-autogen/alternatives) ([novice-ChatGPT markdown twin](/tools/aiplaybookin-novice-chatgpt/alternatives.md), [autogen markdown twin](/tools/microsoft-autogen/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 [this comparison](/compare/aiplaybookin-novice-chatgpt-vs-microsoft-autogen.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, novice-ChatGPT or autogen? novice-ChatGPT: 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 novice-ChatGPT and autogen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [novice-ChatGPT trust report](/tools/aiplaybookin-novice-chatgpt/trust); [autogen trust report](/tools/microsoft-autogen/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aiplaybookin-novice-chatgpt`](/api/graphcanon/graph?tool=aiplaybookin-novice-chatgpt) - 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/_