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AI-native test automation that generates, self-heals and runs UI, API and AI-agent tests across browsers and devices.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
AI Text2SQL database client that generates and fixes SQL from natural language across 30+ databases, with dashboards.
AI tool that converts natural-language questions into SQL queries, sold via a Lemon Squeezy storefront with tiered pricing.
No public pricing
No public pricing
No public pricing
Free trial available
Free trial available
- ✦AI-generated test cases for web, mobile, API and databases
- ✦Self-healing tests that patch selector drift
- ✦AI agent testing with adversarial scenarios and scoring
- ✦Parallel cloud grid across Chromium, Firefox, WebKit, iOS, Android
- ✦MCP to drive testing from Claude, ChatGPT or Cursor in plain English
- ✦Root cause analysis and visual regression
- ✦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
- ✦AI Text2SQL query generation
- ✦One-click SQL error fixing
- ✦GUI database management and ER diagrams
- ✦AI data analysis and dashboards
- ✦Support for 30+ databases
- ✦Local data processing for privacy
- ✦Natural language to SQL conversion
- ✦Database schema integration for accurate queries
- ✦Supports PostgreSQL, MySQL, Oracle, SQL Server and more
- ✦Insights with queries, results, visualizations and explanations
- ✦Desktop app for local database connections
- ✦Public API for custom integrations
- →Automate end-to-end regression without hand-writing scripts
- →Validate AI agents on Agentforce, Bedrock or Azure AI before launch
- →Run cross-browser tests inside existing CI/CD pipelines
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Write SQL from plain language
- →Manage multiple databases in one client
- →Generate BI dashboards from data
- →Migrate and sync schemas/data
- →Generating SQL queries without writing raw syntax
- →Helping non-technical users query databases
- →Speeding up ad hoc data lookups for analysts