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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.
Pros of Anaconda
Pros of Capybara
- Best acceptance test framework for Ruby on Rails apps12
- Synchronous with Rack::Test2
- Fast with Rack::Test1
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Cons of Anaconda
Cons of Capybara
- Hard to make reproducible tests when using with browser1