Dieses Projekt ist eine High-Level-Python-Bibliothek und ein Wrapper für Selenium, der für Webbrowser-Automatisierung und funktionale Tests entwickelt wurde. Er bietet eine vereinfachte Schnittstelle zur Steuerung von Browsern, um automatisierte Workflows und End-to-End-Tests in Chrome und Firefox auszuführen.
Die Hauptfunktionen von mherrmann/selenium-python-helium sind: Automated End-to-End Testing, Text-Based Element Discovery, Web Task Automations, Python Browser Automation Libraries, Multi-Page Browser Workflow Automators, Automation Driver Wrappers, Selenium WebDriver Automations, Abstraction Layers.
Open-Source-Alternativen zu mherrmann/selenium-python-helium sind unter anderem: mherrmann/helium — Helium is a Python library and high-level wrapper for Selenium designed for browser automation, functional UI testing,… mozilla-firefox/firefox — Firefox is a cross-platform web browser engine designed to render web content, execute JavaScript, and manage secure… lavague-ai/lavague — LaVague is an LLM web agent framework and large action model designed to translate natural language instructions into… facebook/php-webdriver — php-webdriver is a browser automation library and PHP language binding for the Selenium WebDriver protocol. It serves… php-webdriver/php-webdriver — php-webdriver is a WebDriver PHP client and browser automation framework that implements the W3C WebDriver standard.… teamcapybara/capybara — Capybara is a browser automation library and web application acceptance test framework used to simulate user behavior…
Helium is a Python library and high-level wrapper for Selenium designed for browser automation, functional UI testing, and web scraping. It provides a simplified interface for interacting with web applications across different browser engines. The library distinguishes itself by allowing users to identify and interact with web elements using visible text labels rather than relying exclusively on technical identifiers like XPaths or CSS selectors. This approach enables the creation of automation scripts based on human-readable labels. The toolkit covers a broad range of browser automation cap
Firefox is a cross-platform web browser engine designed to render web content, execute JavaScript, and manage secure browsing sessions. It utilizes a multi-process isolation architecture that distributes browser tasks across independent operating system processes to ensure stability and prevent site-specific failures from impacting the entire application. The engine incorporates a sandboxed execution environment to restrict web content and untrusted scripts to isolated memory compartments, enforcing security policies that prevent unauthorized access to system resources. The project distinguis
LaVague 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
php-webdriver is a browser automation library and PHP language binding for the Selenium WebDriver protocol. It serves as a web application testing tool that allows for the programmatic control of web browsers to simulate user interactions and navigate web pages. The project implements the WebDriver protocol to manage browser sessions and execute automated functional tests. It enables integration with Selenium servers to perform automated web testing and support headless browser workflows. The library provides capabilities for configuring browser properties and managing the lifecycle of remot