Skip to main content

Wrapper of Selenium, Appium and Playwright with single API

Project description

Automation Beyond Limits

GitHub License PyPI - Python Version PyPI - Version

Documentation Status GitHub Actions Workflow Status GitHub Actions Workflow Status

GitHub Actions Workflow Status GitHub Actions Workflow Status GitHub Actions Workflow Status GitHub Actions Workflow Status

[!NOTE] Previously known as dyatel-wrapper. This project follows the versioning of dyatel-wrapper.

Mops is a Python framework that seamlessly wraps over Selenium, Appium, and sync Playwright, providing a unified interface for browser and mobile automation. With Mops, you can effortlessly switch between these engines within the same test, allowing you to leverage the unique features of each framework without boundaries.

Whether you're running tests on web browsers, mobile devices, or a combination of both, Mops simplifies the process, giving you the flexibility and power to automate complex testing scenarios with ease.

Key Features

  • Seamless Integration: Mops integrates with Selenium, Appium, and Playwright, allowing you to use the best-suited engine for your specific testing needs.
  • Unified API: A single, easy-to-use API that abstracts away the differences between Selenium, Appium, and Playwright, making your test scripts more readable and maintainable.
  • Engine Switching: Switch between Selenium, Appium, and Playwright within the same test case, enabling cross-platform and cross-browser testing with minimal effort.
  • Visual Regression Testing: Perform visual regression tests using the integrated visual regression tool, available across all supported frameworks. This ensures your UI remains consistent across different browsers and devices.
  • Advanced Features: Leverage the advanced features of each framework, such as Playwright's mocks and Appium's real mobile devices support, all while using the same testing framework.
  • Extensibility: Extend the framework with custom functionality tailored to your project's specific requirements.
  • Automatic Locator Type Definition: The locator type will be automatically determined based on the provided locator string or Locator object.

Installation and usage

For information on installation and usage, please refer to our ReadTheDocs documentation. Check it out for more details.

Contributing

Mops is an open-source project, and we welcome contributions from the community. If you'd like to contribute, please open an pull request from your fork

License

Mops is licensed under the Apache License. See the LICENSE file for more details.

Support

If you encounter any issues or have questions, please feel free to reach out via our GitHub Issues page.

Thank you for choosing Mops for your automation needs!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mops-3.2.1.tar.gz (63.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mops-3.2.1-py3-none-any.whl (78.8 kB view details)

Uploaded Python 3

File details

Details for the file mops-3.2.1.tar.gz.

File metadata

  • Download URL: mops-3.2.1.tar.gz
  • Upload date:
  • Size: 63.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.0

File hashes

Hashes for mops-3.2.1.tar.gz
Algorithm Hash digest
SHA256 3964c9ef7ddba51b8bd9075ed470dc89a8f8d3f51f532721ce3890dfa2597315
MD5 4602b3747bc48749d41436b78be8c19d
BLAKE2b-256 d63c0e461edfb0b1cee149d6a690e96445b714ee0b4376c9fd0d8bd1f844cf51

See more details on using hashes here.

File details

Details for the file mops-3.2.1-py3-none-any.whl.

File metadata

  • Download URL: mops-3.2.1-py3-none-any.whl
  • Upload date:
  • Size: 78.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.0

File hashes

Hashes for mops-3.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 f0fe0bf8d599851ed10ecd886791a50307d7d71d2c2292fa4e8a353b795f14cd
MD5 da9db0bf933207ab62cf0f0d18ba42a0
BLAKE2b-256 f9f1383353936a821029735e1e953a0ceb36a5760012da42349a5c76f995da5a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page