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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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reachat
✓ verifiedFree
Open-source React component library for quickly building custom chat interfaces on top of any LLM backend.
3.7K visits/mo
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Angular.dev
✓ verifiedFree
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
1.1M visits/mo
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Google Opal
✓ verifiedFree
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
2.1M visits/mo
Pricing
No public pricing
No public pricing
No public pricing
Core features
- ✦Prebuilt customizable chat UI components for React
- ✦Support for file uploads, embeds, and markdown rendering
- ✦Theming and styling customization options
- ✦Support for switching between multiple AI models in one interface
- ✦Backend- and LLM-agnostic architecture
- ✦Installable via npm as an open-source package
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
Use cases
- →Adding a chat interface to a React app without building components from scratch
- →Prototyping LLM-powered chat products quickly
- →Building multi-model chat tools that let users switch AI providers
- →Embedding conversational AI UI into existing enterprise products
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
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