--- title: "open-webui vs ray-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/open-webui-open-webui-vs-ray-project-ray-llm" tools: ["open-webui-open-webui", "ray-project-ray-llm"] --- # open-webui vs ray-llm *GraphCanon updated Jul 12, 2026* ## Verdict Pick open-webui when tags unique to open-webui: ai, openai, self-hosted; pick ray-llm when tags unique to ray-llm: llm-serving, ray. [open-webui](https://openwebui.com) reports 145k GitHub stars, 21k forks, and 391 open issues, last pushed Jul 10, 2026. [ray-llm](https://docs.ray.io/en/latest/) has 1.3k stars, 90 forks, and 0 open issues, last pushed Mar 13, 2025. Figures are from public GitHub metadata via [open-webui's repository](https://github.com/open-webui/open-webui) and [ray-llm's repository](https://github.com/ray-project/ray-llm). | | [open-webui](/tools/open-webui-open-webui.md) | [ray-llm](/tools/ray-project-ray-llm.md) | | --- | --- | --- | | Tagline | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) | RayLLM - LLMs on Ray (Archived). Read README for more info. | | Stars | 145,029 | 1,263 | | Forks | 21,005 | 90 | | Open issues | 391 | 0 | | Language | 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 | Other | - | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [open-webui](/tools/open-webui-open-webui.md) | [ray-llm](/tools/ray-project-ray-llm.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 0d | 485d | | Archived on GitHub | No | Yes | | Open issues (now) | 391 | 0 | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/open-webui-open-webui/trust.md) | [trust report](/tools/ray-project-ray-llm/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 open-webui if… - Tags unique to open-webui: ai, openai, self-hosted. - When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface. - More GitHub stars (145k vs 1.3k) - visibility, not fit. ### Choose ray-llm if… - Tags unique to ray-llm: llm-serving, ray. - Leaner open-issue backlog (0). ## 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. ## When NOT to use ray-llm - ray-llm is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. - 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. ## Common questions ### What is the difference between open-webui and ray-llm? open-webui: User-friendly AI Interface (Supports Ollama, OpenAI API, ...). ray-llm: RayLLM - LLMs on Ray (Archived). Read README for more info.. See the comparison table for live GitHub stats and shared categories. ### When should I choose open-webui over ray-llm? Choose open-webui over ray-llm when Tags unique to open-webui: ai, openai, self-hosted; When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface; More GitHub stars (145k vs 1.3k) - visibility, not fit. ### When should I choose ray-llm over open-webui? Choose ray-llm over open-webui when Tags unique to ray-llm: llm-serving, ray; Leaner open-issue backlog (0). ### 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. ### When should I avoid ray-llm? ray-llm is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. 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. ### Is open-webui or ray-llm more popular on GitHub? open-webui has more GitHub stars (145,029 vs 1,263). Stars measure visibility, not whether either tool fits your constraints. ### Are open-webui and ray-llm open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to open-webui or ray-llm? GraphCanon lists graph-backed alternatives at [open-webui alternatives](/tools/open-webui-open-webui/alternatives) and [ray-llm alternatives](/tools/ray-project-ray-llm/alternatives) ([open-webui markdown twin](/tools/open-webui-open-webui/alternatives.md), [ray-llm markdown twin](/tools/ray-project-ray-llm/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/open-webui-open-webui-vs-ray-project-ray-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, open-webui or ray-llm? open-webui: Very active. ray-llm: Archived. 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 open-webui and ray-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [open-webui trust report](/tools/open-webui-open-webui/trust); [ray-llm trust report](/tools/ray-project-ray-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=open-webui-open-webui`](/api/graphcanon/graph?tool=open-webui-open-webui) - 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/_