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  1. Stackups
  2. DevOps
  3. Testing Frameworks
  4. Testing Frameworks
  5. Anaconda vs Capybara

Anaconda vs Capybara

OverviewComparisonAlternatives

Overview

Capybara
Capybara
Stacks858
Followers191
Votes15
Anaconda
Anaconda
Stacks440
Followers490
Votes0

Anaconda vs Capybara: What are the differences?

What is Anaconda? The Enterprise Data Science Platform for Data Scientists, IT Professionals and Business Leaders. A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.

What is Capybara? Acceptance test framework for web applications. 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.

Anaconda belongs to "Data Science Tools" category of the tech stack, while Capybara can be primarily classified under "Testing Frameworks".

Capybara is an open source tool with 8.87K GitHub stars and 1.3K GitHub forks. Here's a link to Capybara's open source repository on GitHub.

According to the StackShare community, Capybara has a broader approval, being mentioned in 52 company stacks & 95 developers stacks; compared to Anaconda, which is listed in 6 company stacks and 33 developer stacks.

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Detailed Comparison

Capybara
Capybara
Anaconda
Anaconda

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.

A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.

No setup necessary for Rails and Rack application. Works out of the box.;Intuitive API which mimics the language an actual user would use.;Switch the backend your tests run against from fast headless mode to an actual browser with no changes to your tests.;Powerful synchronization features mean you never have to manually wait for asynchronous processes to complete.
Stay safe and secure; Deliver on your data strategy; Get to market faster; Maximize flexibility and control
Statistics
Stacks
858
Stacks
440
Followers
191
Followers
490
Votes
15
Votes
0
Pros & Cons
Pros
  • 12
    Best acceptance test framework for Ruby on Rails apps
  • 2
    Synchronous with Rack::Test
  • 1
    Fast with Rack::Test
Cons
  • 1
    Hard to make reproducible tests when using with browser
No community feedback yet
Integrations
Rails
Rails
Python
Python
PyCharm
PyCharm
Visual Studio Code
Visual Studio Code
Atom-IDE
Atom-IDE
Visual Studio
Visual Studio

What are some alternatives to Capybara, Anaconda?

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.

Pandas

Pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

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.

NumPy

NumPy

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

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.

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