BalderHub Auth is an open-source package designed for the Balder test framework, providing ready-to-use scenarios and utilities for testing authentication, account management, and permissions. Below are 6 auth & identity apps with similar functionality to BalderHub Auth, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
BalderHub EMail is an open-source package for the Balder test framework, offering features and support objects for writing and automating email-related test scenarios. It integrates with Python and is designed for developers and testers building robust automated tests involving email workflows.
balderhub-auth: BalderHub Project that provides scenarios and features for authentification and permission testing
BalderHub-HTML is an open-source package for the Balder test framework, designed to help developers automate the testing of HTML elements. It provides scenario features, predefined components, and utilities to simplify writing and maintaining tests for web pages. Ideal for developers seeking efficient HTML test automation.
BalderHub SMTP is an open-source package for the Balder test framework, enabling developers and testers to simulate and manage SMTP communication in automated tests. It provides utilities, scenario features, and integration with Python environments for robust email-related testing.
BalderHub Django is an open-source package that provides ready-to-use test scenarios, utilities, and building blocks for comprehensively testing Django applications with the Balder test framework. It focuses on validating Django admin interfaces, integrating CRUD operations, and offering reusable abstractions for efficient QA. Designed for Django developers and QA engineers, it streamlines the process of writing and maintaining robust tests.
balderhub-data is an official package for the Balder test framework, providing structured, reusable, and type-safe test data management. It enables developers to define, load, and sync test data for automated testing, supporting complex data models and permission scenarios. Ideal for Python developers working on data-driven testing.
