OpenVibeEval is an independent, community-driven evaluation suite built to benchmark how AI models and agent harnesses generate real-world frontend web interfaces.
Unlike traditional coding benchmarks that focus on terminal algorithms or synthetic riddles, OpenVibeEval tests production-grade UI creation under strict, zero-shot, single-file HTML/CSS constraints.
axe-core engine.OpenVibeEval is 100% independent, open-source, and free of vendor sponsorship.
A startup from Tunisia.
Controlled Harness Comparator
Hold model and prompt constant to isolate how different agent wrappers alter frontend output.
Automated Accessibility Auditing
Evaluates generated code for WCAG 2.1 compliance (0โ100%) using automated axe-core testing.
Blind Pairwise Arena
Model-blind A/B voting arena where users judge UI aesthetic and interaction before revealing model identities.
Live Interactive Sandboxes
Full interactive iframe previews with desktop, mobile, and external tab toggles.
Sample-Adjusted Leaderboard
Bayesian-adjusted ranking algorithm ensuring single lucky runs cannot outrank well-tested models.
Frontend developers, full-stack engineers, AI agent builders, design system engineers, and engineering leads looking to identify the best AI models and coding harnesses for generating accessible, high-performance web applications.
Unlike traditional benchmarks that only test terminal code or math puzzles, OpenVibeEval is built specifically for real-world Frontend UI generation. It evaluates how AI models and agent harnesses build production-grade single-file HTML/CSS web interfaces, combining automated W3C accessibility audits (axe-core) with live sandboxed previews and a model-blind community voting Arena.
Most benchmarks hide the agent wrapper the model runs inside. OpenVibeEval explicitly tests the 'Harness Impact', allowing developers to hold the model and prompt constant and see exactly how tools like Cline, OpenCode, or GitHub Copilot alter output quality. Every run includes a live interactive sandbox, accessibility report, and versioned date-stamped results with zero sponsored rankings.
OpenVibeEval was created to solve a disconnect in AI coding benchmarks: models that scored high on synthetic coding tests often generated broken CSS, missing ARIA landmarks, or unrenderable layouts when asked to build real web UIs. We built OpenVibeEval as a living, community-driven benchmark to test real UI tasks (dashboards, crypto terminals, canvas games, and web audio synths) under zero-shot, single-file constraints.
Astro, TypeScript, Cloudflare Pages
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