--- title: "open-webui vs openinfer" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/open-webui-open-webui-vs-openinfer-project-openinfer" tools: ["open-webui-open-webui", "openinfer-project-openinfer"] --- # open-webui vs openinfer *GraphCanon updated Jul 17, 2026* ## Verdict Pick open-webui if suitable for developers working with large language models who require a user-friendly interface and support for multiple APIs including Ollama and OpenAI; pick openinfer if high-performance GPU-based inference engine for Rust developers targeting Qwen3 and Kimi-K2 using pure CUDA kernels. [open-webui](https://openwebui.com) reports 146k GitHub stars, 21k forks, and 449 open issues, last pushed Jul 16, 2026. [openinfer](https://open-infer.org/) has 528 stars, 75 forks, and 112 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [open-webui's repository](https://github.com/open-webui/open-webui) and [openinfer's repository](https://github.com/openinfer-project/openinfer). | | [open-webui](/tools/open-webui-open-webui.md) | [openinfer](/tools/openinfer-project-openinfer.md) | | --- | --- | --- | | Tagline | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) | Pure Rust CUDA LLM inference engine serving multiple models including Qwen3 and Kimi-K2 | | Stars | 145,651 | 528 | | Forks | 21,092 | 75 | | Open issues | 449 | 112 | | Language | Python | Rust | | 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. | high-performance GPU-based inference engine for Rust developers targeting Qwen3 and Kimi-K2 using pure CUDA kernels | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | 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) | [openinfer](/tools/openinfer-project-openinfer.md) | | --- | --- | --- | | Open issues (now) | 449 | 112 | | Full report | [trust report](/tools/open-webui-open-webui/trust.md) | [trust report](/tools/openinfer-project-openinfer/trust.md) | **Typed relationship:** open-webui _(alternative)_ openinfer Both projects aim to provide inference engines for locally running LLMs with a user-friendly interface or API. ## 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. ## Decision facts: openinfer - **Adopt for:** high-performance GPU-based inference engine for Rust developers targeting Qwen3 and Kimi-K2 using pure CUDA kernels ## Choose when ### Choose open-webui if… - open-webui is primarily Python; openinfer is Rust. - License: open-webui is Other, openinfer is Apache-2.0. - Both projects aim to provide inference engines for locally running LLMs with a user-friendly interface or API. - Tags unique to open-webui: ai, llm, openai, self-hosted. - Also covers LLM Frameworks. - open-webui ships Docker support for self-hosted deployment. - When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface. ### Choose openinfer if… - openinfer is primarily Rust; open-webui is Python. - License: openinfer is Apache-2.0, open-webui is Other. - Both projects aim to provide inference engines for locally running LLMs with a user-friendly interface or API. - Tags unique to openinfer: cuda, gpu, llm-inference, openai-api. - When you are working with large language models Qwen3 and/or Kimi-K2 specifically, and want to avoid PyTorch dependencies. ## 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 openinfer - Avoid if you are developing models other than Qwen3 or Kimi-K2 as support for other models might be limited. - Not recommended for projects where PyTorch integration is crucial as this tool does not depend on it and may require changes in existing workflows. ## Common questions ### What is the difference between open-webui and openinfer? open-webui: User-friendly AI Interface (Supports Ollama, OpenAI API, ...). openinfer: Pure Rust CUDA LLM inference engine serving multiple models including Qwen3 and Kimi-K2. See the comparison table for live GitHub stats and shared categories. ### When should I choose open-webui over openinfer? Choose open-webui over openinfer when open-webui is primarily Python; openinfer is Rust; License: open-webui is Other, openinfer is Apache-2.0; Both projects aim to provide inference engines for locally running LLMs with a user-friendly interface or API; Tags unique to open-webui: ai, llm, openai, self-hosted; Also covers LLM Frameworks; open-webui ships Docker support for self-hosted deployment; When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface. ### When should I choose openinfer over open-webui? Choose openinfer over open-webui when openinfer is primarily Rust; open-webui is Python; License: openinfer is Apache-2.0, open-webui is Other; Both projects aim to provide inference engines for locally running LLMs with a user-friendly interface or API; Tags unique to openinfer: cuda, gpu, llm-inference, openai-api; When you are working with large language models Qwen3 and/or Kimi-K2 specifically, and want to avoid PyTorch dependencies. ### 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 openinfer? Avoid if you are developing models other than Qwen3 or Kimi-K2 as support for other models might be limited. Not recommended for projects where PyTorch integration is crucial as this tool does not depend on it and may require changes in existing workflows. ### Is open-webui or openinfer more popular on GitHub? open-webui has more GitHub stars (145,651 vs 528). Stars measure visibility, not whether either tool fits your constraints. ### Are open-webui and openinfer open source? Yes - both are open-source projects on GitHub (open-webui: Other, openinfer: Apache-2.0). ### Where can I find alternatives to open-webui or openinfer? GraphCanon lists graph-backed alternatives at [open-webui alternatives](/tools/open-webui-open-webui/alternatives) and [openinfer alternatives](/tools/openinfer-project-openinfer/alternatives) ([open-webui markdown twin](/tools/open-webui-open-webui/alternatives.md), [openinfer markdown twin](/tools/openinfer-project-openinfer/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-openinfer-project-openinfer.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, open-webui or openinfer? open-webui: Very active. openinfer: 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 open-webui and openinfer? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [open-webui trust report](/tools/open-webui-open-webui/trust); [openinfer trust report](/tools/openinfer-project-openinfer/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/_