--- title: "scaling-book vs open-webui" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jax-ml-scaling-book-vs-open-webui-open-webui" tools: ["jax-ml-scaling-book", "open-webui-open-webui"] --- # scaling-book vs open-webui *GraphCanon updated Jul 11, 2026* ## Verdict Pick scaling-book when scaling-book is primarily HTML; open-webui is Python; pick open-webui when open-webui is primarily Python; scaling-book is HTML. [scaling-book](https://jax-ml.github.io/scaling-book/) reports 1.3k GitHub stars, 179 forks, and 8 open issues, last pushed Jul 8, 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 [scaling-book's repository](https://github.com/jax-ml/scaling-book) and [open-webui's repository](https://github.com/open-webui/open-webui). | | [scaling-book](/tools/jax-ml-scaling-book.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Tagline | Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) | | Stars | 1,258 | 145,029 | | Forks | 179 | 21,005 | | Open issues | 8 | 391 | | Language | HTML | Python | | 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. | | 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._ | | [scaling-book](/tools/jax-ml-scaling-book.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Days since push | 2d | 0d | | Open issues (now) | 8 | 391 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/jax-ml-scaling-book/trust.md) | [trust report](/tools/open-webui-open-webui/trust.md) | ## 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 scaling-book if… - scaling-book is primarily HTML; open-webui is Python. - License: scaling-book is MIT, open-webui is Other. - Tags unique to scaling-book: html, jax, llm-inference, llms. ### Choose open-webui if… - open-webui is primarily Python; scaling-book is HTML. - License: open-webui is Other, scaling-book 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 scaling-book - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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 scaling-book and open-webui? scaling-book: Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs. 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 scaling-book over open-webui? Choose scaling-book over open-webui when scaling-book is primarily HTML; open-webui is Python; License: scaling-book is MIT, open-webui is Other; Tags unique to scaling-book: html, jax, llm-inference, llms. ### When should I choose open-webui over scaling-book? Choose open-webui over scaling-book when open-webui is primarily Python; scaling-book is HTML; License: open-webui is Other, scaling-book 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 scaling-book? Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### 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 scaling-book or open-webui more popular on GitHub? open-webui has more GitHub stars (145,029 vs 1,258). Stars measure visibility, not whether either tool fits your constraints. ### Are scaling-book and open-webui open source? Yes - both are open-source projects on GitHub (scaling-book: MIT, open-webui: Other). ### Where can I find alternatives to scaling-book or open-webui? GraphCanon lists graph-backed alternatives at [scaling-book alternatives](/tools/jax-ml-scaling-book/alternatives) and [open-webui alternatives](/tools/open-webui-open-webui/alternatives) ([scaling-book markdown twin](/tools/jax-ml-scaling-book/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/jax-ml-scaling-book-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, scaling-book or open-webui? scaling-book: Very active. 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 scaling-book and open-webui? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [scaling-book trust report](/tools/jax-ml-scaling-book/trust); [open-webui trust report](/tools/open-webui-open-webui/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jax-ml-scaling-book`](/api/graphcanon/graph?tool=jax-ml-scaling-book) - 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/_