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Open-source framework for automated end-to-end UI testing of mobile and web apps, with a paid cloud for parallel device runs.
AI-assisted low-code platform for building governed internal tools and workflows that connect directly to production data.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
Free trial available
Free trial available
No public pricing
Free trial available
No public pricing
No public pricing
- ✦Human-readable YAML test flows
- ✦Local CLI and Studio testing for free
- ✦Open-source, CI-friendly design
- ✦Cloud device farm for parallel runs
- ✦AI-agent integration through MCP
- ✦Self-healing tests with local agents
- ✦AI prompt-to-app builder for production-ready internal tools
- ✦MCP server for building apps from external AI coding agents
- ✦Import of apps built in other platforms via ZIP or GitHub sync
- ✦Direct, permission-governed connections to production data sources
- ✦Workflow automation and orchestration across systems
- ✦Mobile app support alongside web apps
- ✦Enterprise access controls, SSO and audit logging
- ✦Self-hosting option for regulated environments
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- →Automate mobile app UI regression tests
- →Run tests in parallel across many devices
- →Integrate UI testing into CI pipelines
- →Let AI agents generate and run app tests
- →Engineering and ops teams building internal admin tools fast
- →IT centralizing governance over AI-generated business apps
- →Enterprises building embedded portals for external users
- →Teams automating multi-step operational workflows
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts