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

InSpec vs pytest

OverviewComparisonAlternatives

Overview

pytest
pytest
Stacks4.0K
Followers307
Votes0
GitHub Stars13.2K
Forks2.9K
InSpec
InSpec
Stacks336
Followers49
Votes0
GitHub Stars3.0K
Forks683

InSpec vs pytest: What are the differences?

InSpec and pytest are both popular testing frameworks used in the world of software development. InSpec is primarily used for testing infrastructure configurations, ensuring they comply with security standards and best practices, while pytest is a testing framework for Python code that is more focused on unit and functional testing.

  1. Language Focus: InSpec is specifically designed for testing infrastructure code, focusing on configuration settings, security compliance, and integration testing of servers and networks. On the other hand, pytest is tailored for Python code testing, covering unit testing, functional testing, and integration testing of Python applications.

  2. Target Audience: InSpec is commonly used by DevOps engineers, system administrators, and security professionals who need to verify the compliance and security of infrastructure setups. pytest, on the other hand, is utilized by Python developers and software testers who are primarily focused on testing the functionality and correctness of Python applications.

  3. Testing Approach: InSpec follows a behavior-driven development approach, which involves writing human-readable specifications describing the desired behavior of the infrastructure. pytest, on the other hand, adopts a more traditional testing approach with test functions that use assertions to validate the behavior of Python code.

  4. Extensibility: InSpec provides a flexible and extensible DSL (Domain Specific Language) for writing tests that can be easily integrated with various infrastructure management tools. In contrast, pytest offers a rich ecosystem of plugins and extensions that enhance its functionality for different testing needs and integrations.

  5. Reporting Capabilities: InSpec comes with built-in reporting capabilities that generate compliance reports with detailed information about the status of infrastructure configurations. pytest, on the other hand, provides customizable reporting options through plugins and integrations with various reporting tools to generate detailed test reports for Python applications.

  6. Community Support: Both InSpec and pytest have active communities that contribute to the development and improvement of these testing frameworks, providing support, documentation, and resources for users. However, the community size and support for pytest are generally larger due to its popularity in the Python development community.

In Summary, InSpec and pytest differ in their focus on infrastructure testing vs. Python code testing, target audience, testing approach, extensibility, reporting capabilities, and community support.

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Detailed Comparison

pytest
pytest
InSpec
InSpec

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 an open-source testing framework for infrastructure with a human- and machine-readable language for specifying compliance, security and policy requirements.

Auto-discovery; Modular fixtures
-
Statistics
GitHub Stars
13.2K
GitHub Stars
3.0K
GitHub Forks
2.9K
GitHub Forks
683
Stacks
4.0K
Stacks
336
Followers
307
Followers
49
Votes
0
Votes
0
Integrations
PyCharm
PyCharm
Linux
Linux
Docker
Docker
Windows
Windows

What are some alternatives to pytest, InSpec?

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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