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Google Puppeteer vs HavaRunner comparison of testing frameworks
What are the differences between Google Puppeteer and HavaRunner?

Google Puppeteer

https://developers.google.com/web/tools/puppeteer

HavaRunner

https://github.com/havarunner/havarunner
Programming language

JavaScript

Java

Category

Browser Automation

Unit Testing

General info

Puppeteer is a Node library which provides browser automation for chrome and chromium

Puppeteer runs headless by default, but can be configured to run full (non-headless) Chrome or Chromium; It provides a high-level API to control Chromium or Chrome over the DevTools Protocol

HavaRuner is a Java test framework with built-in concurrency support, suites and scenarios

HavaRunner is a Java test framework that has built in support for concurrency and enables you to create suites. You can run the same test against multiple scenarios and speeds up development cycles with faster tests.HavaRunner is a JUnit runner, which means that it is built on top of JUnit it's fairly straightforward to adopt it in a codebase that already has JUnit tests.
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

No

No

Client-side
Allows testing code execution on the client, such as a web browser

Yes

Most things you can do manually in the browser can be done using puppeteer, therefore you can create a testing environment for your tests to run directly. You can test front-end functionality such as UI testing with puppeteer

Yes

You can test front-end functionality and components with havarunner
Server-side
Allows testing the bahovior of a server-side code

No

Yes

HavaRunner is able to test server side functions and components
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

N/A

N/A

Group fixtures
Allows defining a fixed, specific states of data for a group of tests (group-fixtures). This ensures specific environment for a given group of tests.

N/A

N/A

Generators
Supports data generators for tests. Data generators generate input data for test. The test is then run for each input data produced in this way.

No

N/A

Licence
Licence type governing the use and redistribution of the software

Apache License 2.0

MIT License

Mocks
Mocks are objects that simulate the behavior of real objects. Using mocks allows testing some part of the code in isolation (with other parts mocked when needed)

No

Grouping
Allows organizing tests in groups

No

Yes

You can group your tests by annotating them as @PartOf a suite
Other
Other useful information about the testing framework