--- title: "OfflineLLM vs open-webui" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jegly-offlinellm-vs-open-webui-open-webui" tools: ["jegly-offlinellm", "open-webui-open-webui"] --- # OfflineLLM vs open-webui *GraphCanon updated Jul 15, 2026* ## Verdict Pick OfflineLLM when offlineLLM is primarily Kotlin; open-webui is Python; pick open-webui when open-webui is primarily Python; OfflineLLM is Kotlin. [OfflineLLM](https://jegly.xyz) reports 190 GitHub stars, 16 forks, and 0 open issues, last pushed Jul 10, 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 [OfflineLLM's repository](https://github.com/jegly/OfflineLLM) and [open-webui's repository](https://github.com/open-webui/open-webui). | | [OfflineLLM](/tools/jegly-offlinellm.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Tagline | Private on-device AI chat for Android, runs any GGUF model locally via llama.cpp with ARM-optimised SIMD. Zero network permissions, encrypted settings, biometric lock, tamper detection. + GPU Accelera | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) | | Stars | 190 | 145,029 | | Forks | 16 | 21,005 | | Open issues | 0 | 391 | | Language | Kotlin | 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 | Computer Vision, Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [OfflineLLM](/tools/jegly-offlinellm.md) | [open-webui](/tools/open-webui-open-webui.md) | | --- | --- | --- | | Days since push | 5d | 0d | | Open issues (now) | 0 | 391 | | Owner type | User | Organization | | Full report | [trust report](/tools/jegly-offlinellm/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 OfflineLLM if… - OfflineLLM is primarily Kotlin; open-webui is Python. - Tags unique to OfflineLLM: android, android-ai, android-ai-app, android-llm. - Also covers Computer Vision. ### Choose open-webui if… - open-webui is primarily Python; OfflineLLM is Kotlin. - 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 OfflineLLM - 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 OfflineLLM and open-webui? OfflineLLM: Private on-device AI chat for Android, runs any GGUF model locally via llama.cpp with ARM-optimised SIMD. Zero network permissions, encrypted settings, biometric lock, tamper detection. + GPU Accelera. 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 OfflineLLM over open-webui? Choose OfflineLLM over open-webui when OfflineLLM is primarily Kotlin; open-webui is Python; Tags unique to OfflineLLM: android, android-ai, android-ai-app, android-llm; Also covers Computer Vision. ### When should I choose open-webui over OfflineLLM? Choose open-webui over OfflineLLM when open-webui is primarily Python; OfflineLLM is Kotlin; 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 OfflineLLM? 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 OfflineLLM or open-webui more popular on GitHub? open-webui has more GitHub stars (145,029 vs 190). Stars measure visibility, not whether either tool fits your constraints. ### Are OfflineLLM and open-webui open source? Yes - both are open-source projects on GitHub (OfflineLLM: Other, open-webui: Other). ### Where can I find alternatives to OfflineLLM or open-webui? GraphCanon lists graph-backed alternatives at [OfflineLLM alternatives](/tools/jegly-offlinellm/alternatives) and [open-webui alternatives](/tools/open-webui-open-webui/alternatives) ([OfflineLLM markdown twin](/tools/jegly-offlinellm/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/jegly-offlinellm-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, OfflineLLM or open-webui? OfflineLLM: 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 OfflineLLM and open-webui? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OfflineLLM trust report](/tools/jegly-offlinellm/trust); [open-webui trust report](/tools/open-webui-open-webui/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jegly-offlinellm`](/api/graphcanon/graph?tool=jegly-offlinellm) - 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/_