--- title: "wllama vs open-webui" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ngxson-wllama-vs-open-webui-open-webui" tools: ["ngxson-wllama", "open-webui-open-webui"] --- # wllama vs open-webui *GraphCanon updated Jul 11, 2026* ## Verdict Pick wllama when wllama is primarily TypeScript; open-webui is Python; pick open-webui when open-webui is primarily Python; wllama is TypeScript. [wllama](https://huggingface.co/spaces/ngxson/wllama) reports 1.1k GitHub stars, 106 forks, and 50 open issues, last pushed Jun 17, 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 [wllama's repository](https://github.com/ngxson/wllama) and [open-webui's repository](https://github.com/open-webui/open-webui). | | [wllama](/tools/ngxson-wllama.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Tagline | WebAssembly binding for llama.cpp - Enabling on-browser LLM inference | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) | | Stars | 1,138 | 145,029 | | Forks | 106 | 21,005 | | Open issues | 50 | 391 | | Language | TypeScript | 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 | LLM Frameworks, Inference & Serving | LLM Frameworks, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [wllama](/tools/ngxson-wllama.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 23d | 0d | | Open issues (now) | 50 | 391 | | Owner type | User | Organization | | Security scan | 9 low (9 low) | No MCP manifest | | Full report | [trust report](/tools/ngxson-wllama/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 wllama if… - wllama is primarily TypeScript; open-webui is Python. - License: wllama is MIT, open-webui is Other. - Tags unique to wllama: webassembly, llama, llamacpp, typescript. ### Choose open-webui if… - open-webui is primarily Python; wllama is TypeScript. - License: open-webui is Other, wllama is MIT. - Tags unique to open-webui: self-hosted, ai, openai. - When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface. ## When NOT to use wllama - 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. ## 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 wllama and open-webui? wllama: WebAssembly binding for llama.cpp - Enabling on-browser LLM inference. 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 wllama over open-webui? Choose wllama over open-webui when wllama is primarily TypeScript; open-webui is Python; License: wllama is MIT, open-webui is Other; Tags unique to wllama: webassembly, llama, llamacpp, typescript. ### When should I choose open-webui over wllama? Choose open-webui over wllama when open-webui is primarily Python; wllama is TypeScript; License: open-webui is Other, wllama is MIT; Tags unique to open-webui: self-hosted, ai, openai; When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface. ### When should I avoid wllama? 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. ### 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 wllama or open-webui more popular on GitHub? open-webui has more GitHub stars (145,029 vs 1,138). Stars measure visibility, not whether either tool fits your constraints. ### Are wllama and open-webui open source? Yes - both are open-source projects on GitHub (wllama: MIT, open-webui: Other). ### Where can I find alternatives to wllama or open-webui? GraphCanon lists graph-backed alternatives at [wllama alternatives](/tools/ngxson-wllama/alternatives) and [open-webui alternatives](/tools/open-webui-open-webui/alternatives) ([wllama markdown twin](/tools/ngxson-wllama/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/ngxson-wllama-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, wllama or open-webui? wllama: 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 wllama and open-webui? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [wllama trust report](/tools/ngxson-wllama/trust); [open-webui trust report](/tools/open-webui-open-webui/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ngxson-wllama`](/api/graphcanon/graph?tool=ngxson-wllama) - 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/_