--- title: "hipfire vs open-webui" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kaden-schutt-hipfire-vs-open-webui-open-webui" tools: ["kaden-schutt-hipfire", "open-webui-open-webui"] --- # hipfire vs open-webui *GraphCanon updated Jul 11, 2026* ## Verdict Pick hipfire when hipfire is primarily Rust; open-webui is Python; pick open-webui when open-webui is primarily Python; hipfire is Rust. [hipfire](https://github.com/Kaden-Schutt/hipfire) reports 473 GitHub stars, 48 forks, and 86 open issues, last pushed Jul 11, 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 [hipfire's repository](https://github.com/Kaden-Schutt/hipfire) and [open-webui's repository](https://github.com/open-webui/open-webui). | | [hipfire](/tools/kaden-schutt-hipfire.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Tagline | RDNA-native LLM inference engine in Rust. | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) | | Stars | 473 | 145,029 | | Forks | 48 | 21,005 | | Open issues | 86 | 391 | | Language | Rust | 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 | Other | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [hipfire](/tools/kaden-schutt-hipfire.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Open issues (now) | 86 | 391 | | Owner type | User | Organization | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/kaden-schutt-hipfire/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 hipfire if… - hipfire is primarily Rust; open-webui is Python. - Tags unique to hipfire: amd-gpu, gpu-computing, hip, llm-inference. - More recently updated (last pushed Jul 11, 2026). ### Choose open-webui if… - open-webui is primarily Python; hipfire is Rust. - Tags unique to open-webui: ai, llm, 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 hipfire - 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 hipfire and open-webui? hipfire: RDNA-native LLM inference engine in Rust.. 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 hipfire over open-webui? Choose hipfire over open-webui when hipfire is primarily Rust; open-webui is Python; Tags unique to hipfire: amd-gpu, gpu-computing, hip, llm-inference; More recently updated (last pushed Jul 11, 2026). ### When should I choose open-webui over hipfire? Choose open-webui over hipfire when open-webui is primarily Python; hipfire is Rust; Tags unique to open-webui: ai, llm, 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 hipfire? 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 hipfire or open-webui more popular on GitHub? open-webui has more GitHub stars (145,029 vs 473). Stars measure visibility, not whether either tool fits your constraints. ### Are hipfire and open-webui open source? Yes - both are open-source projects on GitHub (hipfire: Other, open-webui: Other). ### Where can I find alternatives to hipfire or open-webui? GraphCanon lists graph-backed alternatives at [hipfire alternatives](/tools/kaden-schutt-hipfire/alternatives) and [open-webui alternatives](/tools/open-webui-open-webui/alternatives) ([hipfire markdown twin](/tools/kaden-schutt-hipfire/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/kaden-schutt-hipfire-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, hipfire or open-webui? hipfire: 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 hipfire and open-webui? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [hipfire trust report](/tools/kaden-schutt-hipfire/trust); [open-webui trust report](/tools/open-webui-open-webui/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kaden-schutt-hipfire`](/api/graphcanon/graph?tool=kaden-schutt-hipfire) - 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/_