--- title: "guidance vs open-webui" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/guidance-ai-guidance-vs-open-webui-open-webui" tools: ["guidance-ai-guidance", "open-webui-open-webui"] --- # guidance vs open-webui *GraphCanon updated Jul 11, 2026* ## Verdict Pick guidance if guidance is a specialized tool written in Jupyter Notebooks that provides a unique language to control large language models (LLMs) across multiple backends such as Transformers, llama.cpp, and OpenAI. It's open-source,轻; pick open-webui if suitable for developers working with large language models who require a user-friendly interface and support for multiple APIs including Ollama and OpenAI. [guidance](https://github.com/guidance-ai/guidance) reports 22k GitHub stars, 1.2k forks, and 303 open issues, last pushed May 21, 2026. [open-webui](https://openwebui.com) has 145k stars, 21k forks, and 391 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [guidance's repository](https://github.com/guidance-ai/guidance) and [open-webui's repository](https://github.com/open-webui/open-webui). | | [guidance](/tools/guidance-ai-guidance.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Tagline | A guidance language for controlling large language models. | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) | | Stars | 21,656 | 145,029 | | Forks | 1,190 | 21,005 | | Open issues | 303 | 391 | | Language | Jupyter Notebook | Python | | Adopt for | Guidance is a specialized tool written in Jupyter Notebooks that provides a unique language to control large language models (LLMs) across multiple backends such as Transformers, llama.cpp, and OpenAI. It's open-source,轻 | Suitable for developers working with large language models who require a user-friendly interface and support for multiple APIs including Ollama and OpenAI. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [guidance](/tools/guidance-ai-guidance.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 50d | 0d | | Open issues (now) | 303 | 391 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/guidance-ai-guidance/trust.md) | [trust report](/tools/open-webui-open-webui/trust.md) | ## Decision facts: guidance - **Adopt for:** Guidance is a specialized tool written in Jupyter Notebooks that provides a unique language to control large language models (LLMs) across multiple backends such as Transformers, llama.cpp, and OpenAI. It's open-source,轻 ## Decision facts: open-webui - **Adopt for:** Suitable for developers working with large language models who require a user-friendly interface and support for multiple APIs including Ollama and OpenAI. ## Choose when ### Choose guidance if… - guidance is primarily Jupyter Notebook; open-webui is Python. - License: guidance is MIT, open-webui is Other. - Tags unique to guidance: backend support, control language, language-models, pip-installable. - When you need a specific language to finely control various LLM backends including Transformers, llama.cpp, and OpenAI ### Choose open-webui if… - open-webui is primarily Python; guidance is Jupyter Notebook. - License: open-webui is Other, guidance is MIT. - Tags unique to open-webui: ai, llm, openai, self-hosted. - When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface. ## When NOT to use guidance - When your project is strictly confined to using only one type of backend which you can manage without a specialized control language - If your development environment does not support or prefer Jupyter Notebooks, Guidance may not be the best choice ## When NOT to use open-webui - When looking for tooling that exclusively supports APIs other than Ollama and OpenAI, as these are specific areas of focus for open-webui. - If the requirement is a highly specialized interface tailored to specific tasks rather than a general AI interaction platform. ## Common questions ### What is the difference between guidance and open-webui? guidance: A guidance language for controlling large language models.. open-webui: User-friendly AI Interface (Supports Ollama, OpenAI API, ...). See the comparison table for live GitHub stats and shared categories. ### When should I choose guidance over open-webui? Choose guidance over open-webui when guidance is primarily Jupyter Notebook; open-webui is Python; License: guidance is MIT, open-webui is Other; Tags unique to guidance: backend support, control language, language-models, pip-installable; When you need a specific language to finely control various LLM backends including Transformers, llama.cpp, and OpenAI. ### When should I choose open-webui over guidance? Choose open-webui over guidance when open-webui is primarily Python; guidance is Jupyter Notebook; License: open-webui is Other, guidance is MIT; Tags unique to open-webui: ai, llm, openai, self-hosted; When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface. ### When should I avoid guidance? When your project is strictly confined to using only one type of backend which you can manage without a specialized control language If your development environment does not support or prefer Jupyter Notebooks, Guidance may not be the best choice ### When should I avoid open-webui? When looking for tooling that exclusively supports APIs other than Ollama and OpenAI, as these are specific areas of focus for open-webui. If the requirement is a highly specialized interface tailored to specific tasks rather than a general AI interaction platform. ### Is guidance or open-webui more popular on GitHub? open-webui has more GitHub stars (145,029 vs 21,656). Stars measure visibility, not whether either tool fits your constraints. ### Are guidance and open-webui open source? Yes - both are open-source projects on GitHub (guidance: MIT, open-webui: Other). ### Where can I find alternatives to guidance or open-webui? GraphCanon lists graph-backed alternatives at [guidance alternatives](/tools/guidance-ai-guidance/alternatives) and [open-webui alternatives](/tools/open-webui-open-webui/alternatives) ([guidance markdown twin](/tools/guidance-ai-guidance/alternatives.md), [open-webui markdown twin](/tools/open-webui-open-webui/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/guidance-ai-guidance-vs-open-webui-open-webui.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, guidance or open-webui? guidance: Steady. open-webui: 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 guidance and open-webui? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [guidance trust report](/tools/guidance-ai-guidance/trust); [open-webui trust report](/tools/open-webui-open-webui/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=guidance-ai-guidance`](/api/graphcanon/graph?tool=guidance-ai-guidance) - 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/_