AI-powered test automation: write human-readable instructions, Alumnium executes them. Supports web, mobile, and popular frameworks.
Alumnium is an AI-powered test automation tool that translates human-readable test instructions into executable commands. It integrates with popular test frameworks like Playwright, Selenium, and Appium, supporting both web and mobile testing. Engineers write plain language steps using simple commands (do, check, get), and Alumnium's AI executes them via browser interactions, leveraging LLMs from providers like OpenAI, Anthropic, and Google Gemini. It offers an MCP Server for integration with general-purpose AI agents. Alumnium is open-source and currently supports Python, with TypeScript support in development.
check_circleIntegrates with Playwright, Selenium, Appium
check_circleWorks with any Python test framework
check_circleMCP Server for AI agent integration
check_circleUses accessibility tree and screenshots
check_circleSupports multiple AI providers (OpenAI, Anthropic, Google Gemini, etc.)
check_circleReasoning model support for improved accuracy
check_circleOpen source
Use Cases
lightbulbSoftware engineers write test cases in plain English and let Alumnium convert them into executable browser commands, reducing test creation time from hours to minutes.
lightbulbQA teams automate regression testing by describing user flows in natural language, ensuring consistent execution across different browsers and devices without manual scripting.
lightbulbMobile app developers use Alumnium with Appium to write human-readable instructions for mobile UI tests, eliminating the need to write complex Appium code.
lightbulbDevOps engineers integrate Alumnium into CI/CD pipelines via its API, enabling automated test execution triggered by code commits and providing rapid feedback.
lightbulbAI agents leverage Alumnium's MCP Server to automate web tasks like form filling and data extraction as part of broader workflows, enhancing productivity.
lightbulbTest engineers maintain test suites by editing plain language instructions instead of brittle code, making tests easier to update when the UI changes.
lightbulbCross-functional teams collaborate on test scenarios using natural language, allowing non-technical stakeholders to contribute to test case definitions.
test automationAI testingbrowser testingmobile testingPlaywrightSeleniumAppiumnatural language testingopen sourcePythonTypeScriptMCP Server
