--- title: "open-webui vs Awesome-LLM-Inference" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/open-webui-open-webui-vs-xlite-dev-awesome-llm-inference" tools: ["open-webui-open-webui", "xlite-dev-awesome-llm-inference"] --- # open-webui vs Awesome-LLM-Inference *GraphCanon updated Jul 11, 2026* ## Verdict Pick open-webui when license: open-webui is Other, Awesome-LLM-Inference is GPL-3.0; pick Awesome-LLM-Inference when license: Awesome-LLM-Inference is GPL-3.0, open-webui is Other. [open-webui](https://openwebui.com) reports 145k GitHub stars, 21k forks, and 391 open issues, last pushed Jul 10, 2026. [Awesome-LLM-Inference](https://github.com/xlite-dev/Awesome-LLM-Inference) has 5.4k stars, 421 forks, and 4 open issues, last pushed Jun 23, 2026. Figures are from public GitHub metadata via [open-webui's repository](https://github.com/open-webui/open-webui) and [Awesome-LLM-Inference's repository](https://github.com/xlite-dev/Awesome-LLM-Inference). | | [open-webui](/tools/open-webui-open-webui.md) | [Awesome-LLM-Inference](/tools/xlite-dev-awesome-llm-inference.md) | | --- | --- | --- | | Tagline | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) | 📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉 | | Stars | 145,029 | 5,383 | | Forks | 21,005 | 421 | | Open issues | 391 | 4 | | Language | Python | 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 | GPL-3.0 | | Categories | LLM Frameworks, Inference & Serving | LLM Frameworks, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [open-webui](/tools/open-webui-open-webui.md) | [Awesome-LLM-Inference](/tools/xlite-dev-awesome-llm-inference.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 18d | | Open issues (now) | 391 | 4 | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/open-webui-open-webui/trust.md) | [trust report](/tools/xlite-dev-awesome-llm-inference/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… - License: open-webui is Other, Awesome-LLM-Inference is GPL-3.0. - Tags unique to open-webui: self-hosted, llm, ai, openai. - When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface. ### Choose Awesome-LLM-Inference if… - License: Awesome-LLM-Inference is GPL-3.0, open-webui is Other. - Tags unique to Awesome-LLM-Inference: deepseek-r1, deepseek-v3, deepseek, flash-mla. - Leaner open-issue backlog (4). ## 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 Awesome-LLM-Inference - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between open-webui and Awesome-LLM-Inference? open-webui: User-friendly AI Interface (Supports Ollama, OpenAI API, ...). Awesome-LLM-Inference: 📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉. See the comparison table for live GitHub stats and shared categories. ### When should I choose open-webui over Awesome-LLM-Inference? Choose open-webui over Awesome-LLM-Inference when License: open-webui is Other, Awesome-LLM-Inference is GPL-3.0; Tags unique to open-webui: self-hosted, llm, ai, openai; When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface. ### When should I choose Awesome-LLM-Inference over open-webui? Choose Awesome-LLM-Inference over open-webui when License: Awesome-LLM-Inference is GPL-3.0, open-webui is Other; Tags unique to Awesome-LLM-Inference: deepseek-r1, deepseek-v3, deepseek, flash-mla; Leaner open-issue backlog (4). ### 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 Awesome-LLM-Inference? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is open-webui or Awesome-LLM-Inference more popular on GitHub? open-webui has more GitHub stars (145,029 vs 5,383). Stars measure visibility, not whether either tool fits your constraints. ### Are open-webui and Awesome-LLM-Inference open source? Yes - both are open-source projects on GitHub (open-webui: Other, Awesome-LLM-Inference: GPL-3.0). ### Where can I find alternatives to open-webui or Awesome-LLM-Inference? GraphCanon lists graph-backed alternatives at [open-webui alternatives](/tools/open-webui-open-webui/alternatives) and [Awesome-LLM-Inference alternatives](/tools/xlite-dev-awesome-llm-inference/alternatives) ([open-webui markdown twin](/tools/open-webui-open-webui/alternatives.md), [Awesome-LLM-Inference markdown twin](/tools/xlite-dev-awesome-llm-inference/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-xlite-dev-awesome-llm-inference.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, open-webui or Awesome-LLM-Inference? open-webui: Very active. Awesome-LLM-Inference: 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 open-webui and Awesome-LLM-Inference? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [open-webui trust report](/tools/open-webui-open-webui/trust); [Awesome-LLM-Inference trust report](/tools/xlite-dev-awesome-llm-inference/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/_