--- title: "distributed-llama vs open-webui" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/b4rtaz-distributed-llama-vs-open-webui-open-webui" tools: ["b4rtaz-distributed-llama", "open-webui-open-webui"] --- # distributed-llama vs open-webui *GraphCanon updated Jul 11, 2026* ## Verdict Pick distributed-llama when distributed-llama is primarily C++; open-webui is Python; pick open-webui when open-webui is primarily Python; distributed-llama is C++. [distributed-llama](https://github.com/b4rtaz/distributed-llama) reports 3.0k GitHub stars, 238 forks, and 48 open issues, last pushed Jul 5, 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 [distributed-llama's repository](https://github.com/b4rtaz/distributed-llama) and [open-webui's repository](https://github.com/open-webui/open-webui). | | [distributed-llama](/tools/b4rtaz-distributed-llama.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Tagline | Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference. | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) | | Stars | 2,981 | 145,029 | | Forks | 238 | 21,005 | | Open issues | 48 | 391 | | Language | C++ | 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._ | | [distributed-llama](/tools/b4rtaz-distributed-llama.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Days since push | 5d | 0d | | Open issues (now) | 48 | 391 | | Owner type | User | Organization | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/b4rtaz-distributed-llama/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 distributed-llama if… - distributed-llama is primarily C++; open-webui is Python. - License: distributed-llama is MIT, open-webui is Other. - Tags unique to distributed-llama: distributed-computing, distributed-llm, llama2, llama3. ### Choose open-webui if… - open-webui is primarily Python; distributed-llama is C++. - License: open-webui is Other, distributed-llama is MIT. - 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. ## When NOT to use distributed-llama - 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 distributed-llama and open-webui? distributed-llama: Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster 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 distributed-llama over open-webui? Choose distributed-llama over open-webui when distributed-llama is primarily C++; open-webui is Python; License: distributed-llama is MIT, open-webui is Other; Tags unique to distributed-llama: distributed-computing, distributed-llm, llama2, llama3. ### When should I choose open-webui over distributed-llama? Choose open-webui over distributed-llama when open-webui is primarily Python; distributed-llama is C++; License: open-webui is Other, distributed-llama is MIT; 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. ### When should I avoid distributed-llama? 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 distributed-llama or open-webui more popular on GitHub? open-webui has more GitHub stars (145,029 vs 2,981). Stars measure visibility, not whether either tool fits your constraints. ### Are distributed-llama and open-webui open source? Yes - both are open-source projects on GitHub (distributed-llama: MIT, open-webui: Other). ### Where can I find alternatives to distributed-llama or open-webui? GraphCanon lists graph-backed alternatives at [distributed-llama alternatives](/tools/b4rtaz-distributed-llama/alternatives) and [open-webui alternatives](/tools/open-webui-open-webui/alternatives) ([distributed-llama markdown twin](/tools/b4rtaz-distributed-llama/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/b4rtaz-distributed-llama-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, distributed-llama or open-webui? distributed-llama: 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 distributed-llama and open-webui? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [distributed-llama trust report](/tools/b4rtaz-distributed-llama/trust); [open-webui trust report](/tools/open-webui-open-webui/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=b4rtaz-distributed-llama`](/api/graphcanon/graph?tool=b4rtaz-distributed-llama) - 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/_