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  1. Stackups
  2. DevOps
  3. Testing Frameworks
  4. Testing Frameworks
  5. behave vs pytest

behave vs pytest

OverviewComparisonAlternatives

Overview

pytest
pytest
Stacks4.0K
Followers307
Votes0
GitHub Stars13.2K
Forks2.9K
behave
behave
Stacks67
Followers119
Votes0
GitHub Stars3.4K
Forks656

behave vs pytest: What are the differences?

Behave and Pytest are both popular testing frameworks in Python. Let's explore the key differences between them.

  1. Test Style: One of the main differences between Behave and Pytest is the style of writing tests. Behave follows a behavior-driven development (BDD) approach, where tests are written in a human-readable format using Gherkin syntax. This makes tests more understandable and accessible to non-technical stakeholders. On the other hand, Pytest follows a more traditional test-driven development (TDD) approach, where tests are written in Python code using assertions. This allows for more flexibility in test structure and organization.

  2. Test Discovery: Behave and Pytest have different mechanisms for automatically discovering tests in a project. Behave relies on feature files and step definitions to identify and execute tests. Feature files contain test scenarios written in Gherkin syntax, while step definitions map steps in the scenarios to Python code. Pytest, on the other hand, uses Python modules and functions as test cases. It automatically discovers tests based on naming conventions and a set of predefined rules.

  3. Fixture Support: Fixtures are reusable pieces of code that provide data or set up the test environment. Behave and Pytest handle fixtures differently. Behave provides a built-in mechanism called context to share data between steps and scenarios. This reduces the need for fixtures and simplifies test setup. Pytest, on the other hand, has a powerful fixture mechanism that allows users to define and use fixtures at various scopes (e.g., function, module, session). This provides more flexibility and control over test setup and teardown.

  4. Parallel Execution: Behave and Pytest have different approaches to parallel test execution. Behave does not have native support for parallel execution out of the box. However, it can be combined with other tools (e.g., pytest-xdist) to run tests in parallel. Pytest, on the other hand, has built-in support for parallel execution using the pytest-xdist plugin. This allows tests to be distributed across multiple processes or machines, significantly reducing test execution time.

  5. Test Reporting: Behave and Pytest generate different types of test reports. Behave generates reports in a human-readable format, highlighting the status of each scenario and step. These reports can be viewed in the command-line interface or saved to a file. Pytest, on the other hand, generates reports in various formats, including plain text, HTML, and XML. These reports provide detailed information about test results, including failure messages, traceback, and coverage data.

  6. Community and Ecosystem: Behave and Pytest have vibrant and active communities, but they differ in terms of ecosystem and community support. Pytest has a larger and more mature ecosystem, with a wide range of plugins and extensions available for various testing needs. It also has extensive documentation and a strong community of contributors. Behave, while still popular, has a smaller ecosystem with fewer plugins and resources available. However, it is actively maintained and has a dedicated community of users.

In summary, Behave is a Python behavior-driven development (BDD) framework that allows you to write feature files using the Gherkin language and automate tests with step definitions. Pytest, on the other hand, is a flexible and powerful testing framework that supports various types of tests, including unit, functional, and integration tests, with concise syntax and extensive plugin ecosystem.

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Detailed Comparison

pytest
pytest
behave
behave

A framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. It is a mature full-featured Python testing tool.

It is behaviour-driven development, Python style. It uses tests written in a natural language style, backed up by Python code.

Auto-discovery; Modular fixtures
bdd; tests; tdd
Statistics
GitHub Stars
13.2K
GitHub Stars
3.4K
GitHub Forks
2.9K
GitHub Forks
656
Stacks
4.0K
Stacks
67
Followers
307
Followers
119
Votes
0
Votes
0
Integrations
PyCharm
PyCharm
Python
Python
Django
Django
Flask
Flask

What are some alternatives to pytest, behave?

Robot Framework

Robot Framework

It is a generic test automation framework for acceptance testing and acceptance test-driven development. It has easy-to-use tabular test data syntax and it utilizes the keyword-driven testing approach. Its testing capabilities can be extended by test libraries implemented either with Python or Java, and users can create new higher-level keywords from existing ones using the same syntax that is used for creating test cases.

Karate DSL

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

Cucumber

Cucumber

Cucumber is a tool that supports Behaviour-Driven Development (BDD) - a software development process that aims to enhance software quality and reduce maintenance costs.

TestCafe

TestCafe

It is a pure node.js end-to-end solution for testing web apps. It takes care of all the stages: starting browsers, running tests, gathering test results and generating reports.

Spock Framework

Spock Framework

It is a testing and specification framework for Java and Groovy applications. What makes it stand out from the crowd is its beautiful and highly expressive specification language. It is compatible with most IDEs, build tools, and continuous integration servers.

Selenide

Selenide

It is a library for writing concise, readable, boilerplate-free tests in Java using Selenium WebDriver.

Capybara

Capybara

Capybara helps you test web applications by simulating how a real user would interact with your app. It is agnostic about the driver running your tests and comes with Rack::Test and Selenium support built in. WebKit is supported through an external gem.

PHPUnit

PHPUnit

PHPUnit is a programmer-oriented testing framework for PHP. It is an instance of the xUnit architecture for unit testing frameworks.

Detox

Detox

High velocity native mobile development requires us to adopt continuous integration workflows, which means our reliance on manual QA has to drop significantly. It tests your mobile app while it's running in a real device/simulator, interacting with it just like a real user.

Imagium

Imagium

Imagium provides AI based visual testing solution for various forms of testing. It makes the job easier for QA Automation, Mobile Testers, DevOps and Compliance teams. Imagium is easy to integrate with any programing language

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