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Awesome GitHub RepositoriesTest Code from Web Specs
Generation of executable browser tests from high-level specifications without manual selector mapping.
Distinct from Code from Specification Generators: Distinct from general code generation by targeting browser automation scripts from functional test specs.
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Awesome Test Code from Web Specs GitHub Repositories
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- lavague-ai/lavague
lavague-ai/LaVague
6,374Ver en GitHubLaVague is an LLM web agent framework and large action model designed to translate natural language instructions into executable browser automation scripts. It functions as a multi-modal orchestrator that reasons over web page states and HTML content to automate multi-step tasks via a Selenium-based automation engine. The framework features a modular model provider layer, allowing users to swap between different language and vision models from providers such as Anthropic, Gemini, and Azure OpenAI. It employs a multi-modal world model to process screenshots and HTML structures, utilizing retri
Transforms test specifications into executable code for web applications without requiring manual CSS or XPath selectors.
Pythonaibrowserlarge-action-model
