Selenium vs JBehave comparison of testing frameworks
What are the differences between Selenium and JBehave?

Selenium

https://pypi.org/project/selenium/

JBehave

https://jbehave.org/
Programming language

Python

Java

Category

Web Automation

Acceptance Testing

General info

Selenium is an open source tool used to test web applications

Selenium is a powerful testing tool which can send standard Python commands to different browsers, despite variations in browser design. It also provides extensions to emulate user interaction with browsers, a distribution server for scaling browser allocation, and the infrastructure for implementations of the W3C WebDriver specification that lets you write interchangeable code for all major web browsers

JBehave is a Behaviour-Driven Development testing framework for java

JBehave is a Behaviour Driven Development framework. It intends to provide an intuitive and accessible way for automated acceptance testing
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

It is primarily a browser automation tool which tests front-end components and functionality

Yes

You can test front-end behaviour (scenarios) with JBehave
Server-side
Allows testing the bahovior of a server-side code

Yes

It can perform Unit tests and can test various components and behaviours in the backend using a BDD or TDD approach

JBehave tests scenarios and behaviours of components, it can test back-end behaviour
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

Yes

By writing your Selenium WebDriver tests in PyTest, this gives you access to Pytest's powerful fixture model

Yes

You have a few options for using fixtures in JBehave: you can run your steps before/after each scenario by using LifeCycle: you can use @BeforeStory and @AfterStory annotations or you can define a dummy scenario with your setup/teardown steps
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.

Yes

One can group fixtures if accessing Pytest's fixture model

Yes

You can define group fixtures with JBehave
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.

Yes

By using a library such as Faker or Fake-factory

No

Licence
Licence type governing the use and redistribution of the software

Apache License 2.0

BSD-style 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)

Yes

It includes support for mocking

The best way to mock is to use third party libraries like Mockito, Jmock or Jmockit
Grouping
Allows organizing tests in groups

Yes

By using the TestNG feature with which we can create groups and maintain them easily

N/A

Other
Other useful information about the testing framework