--- title: "conduit vs llavavision" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cogwheel0-conduit-vs-lxe-llavavision" tools: ["cogwheel0-conduit", "lxe-llavavision"] --- # conduit vs llavavision *GraphCanon updated Aug 14, 2026* ## Verdict Pick conduit if conduit is an open-source mobile application enabling users on iOS and Android to interface with self-hosted AI services via the OpenWebUI API; pick llavavision if llavavision is an experimental web application that provides users with computer-vision capabilities powered by llama.cpp/llava backend, allowing local processing of images and video streams. [conduit](https://conduit.mobile) reports 1.9k GitHub stars, 193 forks, and 63 open issues, last pushed Aug 10, 2026. [llavavision](https://github.com/lxe/llavavision) has 496 stars, 34 forks, and 3 open issues, last pushed Nov 28, 2023. Figures are from public GitHub metadata via [conduit's repository](https://github.com/cogwheel0/conduit) and [llavavision's repository](https://github.com/lxe/llavavision). | | [conduit](/tools/cogwheel0-conduit.md) | [llavavision](/tools/lxe-llavavision.md) | | --- | --- | --- | | Tagline | Mobile client for OpenWebUI | A simple Be My Eyes web app with llama.cpp/llava backend | | Stars | 1,945 | 496 | | Forks | 193 | 34 | | Open issues | 63 | 3 | | Language | Dart | JavaScript | | Adopt for | Conduit is an open-source mobile application enabling users on iOS and Android to interface with self-hosted AI services via the OpenWebUI API. | llavavision is an experimental web application that provides users with computer-vision capabilities powered by llama.cpp/llava backend, allowing local processing of images and video streams. | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 License | - | | Categories | Inference & Serving, LLM Frameworks | Computer Vision, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [conduit](/tools/cogwheel0-conduit.md) | [llavavision](/tools/lxe-llavavision.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 3d | 976d | | Open issues (now) | 63 | 3 | | Stars delta | +157 (30d) | Unknown | | Open issues delta | +10 (30d) | Unknown | | Full report | [trust report](/tools/cogwheel0-conduit/trust.md) | [trust report](/tools/lxe-llavavision/trust.md) | ## Decision facts: conduit - **Requirements:** - The application requires a recent Flutter SDK with Dart version 3.9 or newer.; - For building on Android, Java 17 and Android 7.0+ (API level 24) are necessary requirements.; - On iOS, the application supports only devices running iOS 16.0+. Xcode is required for builds. - **Adopt for:** Conduit is an open-source mobile application enabling users on iOS and Android to interface with self-hosted AI services via the OpenWebUI API. - **License detail:** GPL-3.0 License ## Decision facts: llavavision - **Adopt for:** llavavision is an experimental web application that provides users with computer-vision capabilities powered by llama.cpp/llava backend, allowing local processing of images and video streams. ## Choose when ### Choose conduit if… - conduit is primarily Dart; llavavision is JavaScript. - Requirements: - The application requires a recent Flutter SDK with Dart version 3.9 or newer.; - For building on Android, Java 17 and Android 7.0+ (API level 24) are necessary requirements.; - On iOS, the application supports only devices running iOS 16.0+. Xcode is required for builds.. - Tags unique to conduit: mobile, ollama, openwebui, selfhosted. - Also covers Inference & Serving. - - You are using a self-hosted AI service compatible with OpenWebUI, OpenAI APIs, or Ollama endpoint, and require a mobile interface for it. ### Choose llavavision if… - llavavision is primarily JavaScript; conduit is Dart. - Tags unique to llavavision: ai, artificial-intelligence, computer-vision, llama. - Also covers Computer Vision. - llavavision ships Docker support for self-hosted deployment. - When you need a lightweight, locally deployed AI solution for basic vision tasks that can operate on moderate hardware resources (~5 GB RAM) ## When NOT to use conduit - - If you aim to use proprietary AI services that do not offer OpenAI-compatible APIs or are not compatible with the endpoints supported by Conduit. - - Your development setup does not include Flutter SDK with Dart 3.9 or newer, Java 17 for Android builds, and Xcode or Android Studio. ## When NOT to use llavavision - If your application requires high-performance computations or large-scale data processing beyond low to mid-tier hardware capabilities - In scenarios where strict real-time performance is critical, as llavavision may not offer the necessary speed due to its computational dependencies on local resources ## Common questions ### What is the difference between conduit and llavavision? conduit: Mobile client for OpenWebUI. llavavision: A simple Be My Eyes web app with llama.cpp/llava backend. See the comparison table for live GitHub stats and shared categories. ### When should I choose conduit over llavavision? Choose conduit over llavavision when conduit is primarily Dart; llavavision is JavaScript; Requirements: - The application requires a recent Flutter SDK with Dart version 3.9 or newer.; - For building on Android, Java 17 and Android 7.0+ (API level 24) are necessary requirements.; - On iOS, the application supports only devices running iOS 16.0+. Xcode is required for builds.; Tags unique to conduit: mobile, ollama, openwebui, selfhosted; Also covers Inference & Serving; - You are using a self-hosted AI service compatible with OpenWebUI, OpenAI APIs, or Ollama endpoint, and require a mobile interface for it. ### When should I choose llavavision over conduit? Choose llavavision over conduit when llavavision is primarily JavaScript; conduit is Dart; Tags unique to llavavision: ai, artificial-intelligence, computer-vision, llama; Also covers Computer Vision; llavavision ships Docker support for self-hosted deployment; When you need a lightweight, locally deployed AI solution for basic vision tasks that can operate on moderate hardware resources (~5 GB RAM). ### When should I avoid conduit? - If you aim to use proprietary AI services that do not offer OpenAI-compatible APIs or are not compatible with the endpoints supported by Conduit. - Your development setup does not include Flutter SDK with Dart 3.9 or newer, Java 17 for Android builds, and Xcode or Android Studio. ### When should I avoid llavavision? If your application requires high-performance computations or large-scale data processing beyond low to mid-tier hardware capabilities In scenarios where strict real-time performance is critical, as llavavision may not offer the necessary speed due to its computational dependencies on local resources ### Is conduit or llavavision more popular on GitHub? conduit has more GitHub stars (1,945 vs 496). Stars measure visibility, not whether either tool fits your constraints. ### Are conduit and llavavision open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to conduit or llavavision? GraphCanon lists graph-backed alternatives at [conduit alternatives](/tools/cogwheel0-conduit/alternatives) and [llavavision alternatives](/tools/lxe-llavavision/alternatives) ([conduit markdown twin](/tools/cogwheel0-conduit/alternatives.md), [llavavision markdown twin](/tools/lxe-llavavision/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/cogwheel0-conduit-vs-lxe-llavavision.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, conduit or llavavision? conduit: Very active. llavavision: Dormant. 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 conduit and llavavision? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [conduit trust report](/tools/cogwheel0-conduit/trust); [llavavision trust report](/tools/lxe-llavavision/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cogwheel0-conduit`](/api/graphcanon/graph?tool=cogwheel0-conduit) - 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/_