What is Mockito and what are its top alternatives?
Top Alternatives to Mockito
JUnit is a simple framework to write repeatable tests. It is an instance of the xUnit architecture for unit testing frameworks. ...
Appium is an open source test automation framework for use with native, hybrid, and mobile web apps. It drives iOS and Android apps using the WebDriver protocol. Appium is sponsored by Sauce Labs and a thriving community of open source developers. ...
It is a framework that brings fast and reliable unit tests to Android. Tests run inside the JVM on your workstation in seconds. Test drive your Android application with robolectric ...
It is an open-source library focused on making mocking in Kotlin great. It is a library with the possibility of mocking default arguments, final classes, varargs, coroutines and extension methods. ...
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. ...
Behaviour Driven Development for Ruby. Making TDD Productive and Fun.
Cucumber is a tool that supports Behaviour-Driven Development (BDD) - a software development process that aims to enhance software quality and reduce maintenance costs. ...
It is a free, open source, community-focused unit testing tool for the .NET Framework. It is the latest technology for unit testing C#, F#, VB.NET and other .NET languages. It works with ReSharper, CodeRush, TestDriven.NET and Xamarin. ...
Mockito alternatives & related posts
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We are looking for a Testing Tool that can integrate with Java/ React/ Go/ Python/ Node.js. Which amongst the three tools JUnit, NUnit & Selenium would be the best for this use case?
We use JUnit for our Java Unit and Integration tests in Version 5. Combined with @JMockit2 and @truth (from Google) we perform all kinds of tests on our minecraft, standalone and microservice architecture.
We prefer JUnit over TestNG because of the bigger community, better support and the generally more agile development. JUnit integrates nicely with most software, while TestNG support is a little more limited.
- Webdriverio support12
- Java, C#, Python support6
- Open source3
- Great GUI with inspector2
- Active community2
- Support android test automation1
- Support iOS test automation1
- Internal API access1
related Appium posts
Looking for some advice: we are planning to create a hybrid app for both iOS and Android; this app will consume a REST API. We are looking for a tool for this development with the following attributes:
Shallow learning curve; easiness to adopt (all team is new into mobile development, with diverse backgrounds: Java, Python & AngularJS),
Easiness to test (we discarded Angular-based tools already: creating a unit test in Angular we considered time-consuming and low value. At this point of the project, we cannot afford UI testing with Selenium/Appium based tools).
So far, we are not considering any specific capability of the device. Still, in the mid/long term, we would require the usage of GPS (geolocalization) and accelerometer (not sure if it's possible to use it from a hybrid app). Suggest any other tool if you wish.
I chose WebdriverIO and Appium to implement a E2E tests solution on a native mobile app. WebdriverIO goes well beyond just implementing the Selenium / Appium protocol and allows to run tests in parallel out of the box. Appium has the big advantage of supporting iOS and Android platforms, so the test codebase and tools are exactly the same, which greatly reduces the learning curve and implementation time.
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I'm working as one of the engineering leads in RunaHR. As our platform is a Saas, we thought It'd be good to have an API (We chose Ruby and Rails for this) and a SPA (built with React and Redux ) connected. We started the SPA with Create React App since It's pretty easy to start.
We use Jest as the testing framework and react-testing-library to test React components. In Rails we make tests using RSpec.
Our main database is PostgreSQL, but we also use MongoDB to store some type of data. We started to use Redis for cache and other time sensitive operations.
We have a couple of extra projects: One is an Employee app built with React Native and the other is an internal back office dashboard built with Next.js for the client and Python in the backend side.
In 2010 we made the very difficult decision to entirely re-engineer our existing monolithic LAMP application from the ground up in order to address some growing concerns about it's long term viability as a platform.
Full application re-write is almost always never the answer, because of the risks involved. However the situation warranted drastic action as it was clear that the existing product was going to face severe scaling issues. We felt it better address these sooner rather than later and also take the opportunity to improve the international architecture and also to refactor the database in. order that it better matched the changes in core functionality.
PostgreSQL was chosen for its reputation as being solid ACID compliant database backend, it was available as an offering AWS RDS service which reduced the management overhead of us having to configure it ourselves. In order to reduce read load on the primary database we implemented an Elasticsearch layer for fast and scalable search operations. Synchronisation of these indexes was to be achieved through the use of Sidekiq's Redis based background workers on Amazon ElastiCache. Again the AWS solution here looked to be an easy way to keep our involvement in managing this part of the platform at a minimum. Allowing us to focus on our core business.
Rails ls was chosen for its ability to quickly get core functionality up and running, its MVC architecture and also its focus on Test Driven Development using RSpec and Selenium with Travis CI providing continual integration. We also liked Ruby for its terse, clean and elegant syntax. Though YMMV on that one!
Unicorn was chosen for its continual deployment and reputation as a reliable application server, nginx for its reputation as a fast and stable reverse-proxy. We also took advantage of the Amazon CloudFront CDN here to further improve performance by caching static assets globally.
We tried to strike a balance between having control over management and configuration of our core application with the convenience of being able to leverage AWS hosted services for ancillary functions (Amazon SES , Amazon SQS Amazon Route 53 all hosted securely inside Amazon VPC of course!).
Whilst there is some compromise here with potential vendor lock in, the tasks being performed by these ancillary services are no particularly specialised which should mitigate this risk. Furthermore we have already containerised the stack in our development using Docker environment, and looking to how best to bring this into production - potentially using Amazon EC2 Container Service
- Simple Syntax20
- Simple usage6
- Huge community4
- Nice report3
related Cucumber posts
With this structure, we're able to combine the automation efforts of each team member into a centralized repository while also providing new relevant metrics to business owners.