A high-level Python wrapper for Selenium that simplifies web automation with a more intuitive API.
Helium is a Python library that simplifies web browser automation by providing a high-level wrapper around Selenium. It allows developers to automate tasks in browsers like Chrome and Firefox using a more intuitive API that references elements by visible labels, reducing script complexity and maintenance effort.
Python developers and testers who need to automate web interactions for testing, scraping, or workflow automation, especially those finding Selenium's low-level API cumbersome.
Helium offers a significantly shorter and more readable syntax than raw Selenium, with built-in handling for iFrames, window management, and waits, making web automation faster to write and easier to maintain.
Lighter web automation with Python
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Allows referencing web elements by visible labels instead of complex selectors, reducing script length by 30-50% compared to Selenium, as stated in the README.
Enables interaction with elements inside nested iFrames without manual context switching, a common pain point in Selenium automation.
Intelligently focuses popups and allows window switching by title, eliminating the need to iterate over Selenium window handles.
Provides implicit waits for element presence and a cleaner API for explicit waits, such as wait_until(Button('Download').exists), improving script robustness.
Only officially supports Chrome and Firefox; Internet Explorer support was removed, and other browsers like Safari are not covered, limiting cross-browser testing.
The maintainer has limited time for free support, leading to potentially slow response to issues and infrequent updates, as admitted in the README's status section.
As a wrapper over Selenium, it may not expose all advanced Selenium features, and the high-level API could introduce slight performance overhead for very specific use cases.