Alternatives to Robolectric logo

Alternatives to Robolectric

Mockito, JUnit, Appium, Robotium, and JavaScript are the most popular alternatives and competitors to Robolectric.
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What is Robolectric and what are its top alternatives?

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
Robolectric is a tool in the Testing Frameworks category of a tech stack.
Robolectric is an open source tool with 5.8K GitHub stars and 1.4K GitHub forks. Here’s a link to Robolectric's open source repository on GitHub

Top Alternatives to Robolectric

  • Mockito
    Mockito

    It is a mocking framework that tastes really good. It lets you write beautiful tests with a clean & simple API. It doesn’t give you hangover because the tests are very readable and they produce clean verification errors. ...

  • JUnit
    JUnit

    JUnit is a simple framework to write repeatable tests. It is an instance of the xUnit architecture for unit testing frameworks. ...

  • Appium
    Appium

    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. ...

  • Robotium
    Robotium

    It is an Android test automation framework that has full support for native and hybrid applications. It makes it easy to write powerful and robust automatic black-box UI tests for Android applications. ...

  • JavaScript
    JavaScript

    JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles. ...

  • Git
    Git

    Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency. ...

  • GitHub
    GitHub

    GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together. ...

  • Python
    Python

    Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best. ...

Robolectric alternatives & related posts

Mockito logo

Mockito

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Tasty mocking framework for unit tests in Java
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      related Mockito posts

      JUnit logo

      JUnit

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      A programmer-oriented testing framework for Java
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          related JUnit posts

          Jack Graves

          We use JUnit and Jest to perform the bulk of our automated test scenarios, with additional work with Apache JMeter for performance testing - for example, the Atlassian Data Center compliance testing is performed with JMeter. Jest provides testing for the React interfaces, which make up the backend of our App offerings. JUnit is used for Unit Testing our Server-based Apps. Mocha is another tool we use.

          See more

          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?

          See more
          Appium logo

          Appium

          564
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          Automation for iOS and Android Apps
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          PROS OF APPIUM
          • 12
            Webdriverio support
          • 6
            Java, C#, Python support
          • 3
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          CONS OF APPIUM
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            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.

            See more
            Kevin Roulleau
            QA Engineer Freelance at happn · | 5 upvotes · 990.6K views

            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.

            See more
            Robotium logo

            Robotium

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                JavaScript logo

                JavaScript

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                  Because I love functions
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                  JavaScript is the New PHP
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                  Like it or not, JS is part of the web standard
                • 9
                  Expansive community
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                  Everyone use it
                • 9
                  Can be used in backend, frontend and DB
                • 9
                  Easy
                • 8
                  Most Popular Language in the World
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                • 8
                  Can be used both as frontend and backend as well
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                  For the good parts
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                • 8
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                • 7
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                  It let's me use Babel & Typescript
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                  Can be used on frontend/backend/Mobile/create PRO Ui
                • 6
                  1.6K Can be used on frontend/backend
                • 6
                  Client side JS uses the visitors CPU to save Server Res
                • 6
                  Easy to make something
                • 5
                  Clojurescript
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                  Promise relationship
                • 5
                  Stockholm Syndrome
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                  Function expressions are useful for callbacks
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                  Scope manipulation
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                  Everywhere
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                  Client processing
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                  What to add
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                  Only Programming language on browser
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                  Not the best
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                  Subskill #4
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                  Easy to learn
                • 0
                  Hard 彤
                CONS OF JAVASCRIPT
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                  A constant moving target, too much churn
                • 20
                  Horribly inconsistent
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                  Javascript is the New PHP
                • 9
                  No ability to monitor memory utilitization
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                  Shows Zero output in case of ANY error
                • 7
                  Thinks strange results are better than errors
                • 6
                  Can be ugly
                • 3
                  No GitHub
                • 2
                  Slow

                related JavaScript posts

                Zach Holman

                Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.

                But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.

                But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.

                Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.

                See more
                Conor Myhrvold
                Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 10.9M views

                How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

                Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

                Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

                https://eng.uber.com/distributed-tracing/

                (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

                Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

                See more
                Git logo

                Git

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                • 2
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                related Git posts

                Simon Reymann
                Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 9.7M views

                Our whole DevOps stack consists of the following tools:

                • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
                • Respectively Git as revision control system
                • SourceTree as Git GUI
                • Visual Studio Code as IDE
                • CircleCI for continuous integration (automatize development process)
                • Prettier / TSLint / ESLint as code linter
                • SonarQube as quality gate
                • Docker as container management (incl. Docker Compose for multi-container application management)
                • VirtualBox for operating system simulation tests
                • Kubernetes as cluster management for docker containers
                • Heroku for deploying in test environments
                • nginx as web server (preferably used as facade server in production environment)
                • SSLMate (using OpenSSL) for certificate management
                • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
                • PostgreSQL as preferred database system
                • Redis as preferred in-memory database/store (great for caching)

                The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

                • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
                • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
                • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
                • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
                • Scalability: All-in-one framework for distributed systems.
                • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
                See more
                Tymoteusz Paul
                Devops guy at X20X Development LTD · | 23 upvotes · 8.7M views

                Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).

                It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up or vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.

                I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

                We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.

                If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.

                The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).

                Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.

                See more
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                GitHub

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                  Free HTML hosting
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                  Security options
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                  Ci
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                  Leads the copycats
                • 2
                  All in one development service
                • 2
                  Free private repos
                • 2
                  Free HTML hostings
                • 2
                  Easy and efficient maintainance of the projects
                • 2
                  Beautiful
                • 2
                  Easy source control and everything is backed up
                • 2
                  IAM integration
                • 2
                  Very Easy to Use
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                  Good tools support
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                  Issues tracker
                • 2
                  Never dethroned
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                  Self Hosted
                • 1
                  Dasf
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                CONS OF GITHUB
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                  Owned by micrcosoft
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                  Expensive for lone developers that want private repos
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                  Relatively slow product/feature release cadence
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                  API scoping could be better
                • 9
                  Only 3 collaborators for private repos
                • 4
                  Limited featureset for issue management
                • 3
                  Does not have a graph for showing history like git lens
                • 2
                  GitHub Packages does not support SNAPSHOT versions
                • 1
                  No multilingual interface
                • 1
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                • 1
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                related GitHub posts

                Johnny Bell

                I was building a personal project that I needed to store items in a real time database. I am more comfortable with my Frontend skills than my backend so I didn't want to spend time building out anything in Ruby or Go.

                I stumbled on Firebase by #Google, and it was really all I needed. It had realtime data, an area for storing file uploads and best of all for the amount of data I needed it was free!

                I built out my application using tools I was familiar with, React for the framework, Redux.js to manage my state across components, and styled-components for the styling.

                Now as this was a project I was just working on in my free time for fun I didn't really want to pay for hosting. I did some research and I found Netlify. I had actually seen them at #ReactRally the year before and deployed a Gatsby site to Netlify already.

                Netlify was very easy to setup and link to my GitHub account you select a repo and pretty much with very little configuration you have a live site that will deploy every time you push to master.

                With the selection of these tools I was able to build out my application, connect it to a realtime database, and deploy to a live environment all with $0 spent.

                If you're looking to build out a small app I suggest giving these tools a go as you can get your idea out into the real world for absolutely no cost.

                See more
                Russel Werner
                Lead Engineer at StackShare · | 32 upvotes · 2.6M views

                StackShare Feed is built entirely with React, Glamorous, and Apollo. One of our objectives with the public launch of the Feed was to enable a Server-side rendered (SSR) experience for our organic search traffic. When you visit the StackShare Feed, and you aren't logged in, you are delivered the Trending feed experience. We use an in-house Node.js rendering microservice to generate this HTML. This microservice needs to run and serve requests independent of our Rails web app. Up until recently, we had a mono-repo with our Rails and React code living happily together and all served from the same web process. In order to deploy our SSR app into a Heroku environment, we needed to split out our front-end application into a separate repo in GitHub. The driving factor in this decision was mostly due to limitations imposed by Heroku specifically with how processes can't communicate with each other. A new SSR app was created in Heroku and linked directly to the frontend repo so it stays in-sync with changes.

                Related to this, we need a way to "deploy" our frontend changes to various server environments without building & releasing the entire Ruby application. We built a hybrid Amazon S3 Amazon CloudFront solution to host our Webpack bundles. A new CircleCI script builds the bundles and uploads them to S3. The final step in our rollout is to update some keys in Redis so our Rails app knows which bundles to serve. The result of these efforts were significant. Our frontend team now moves independently of our backend team, our build & release process takes only a few minutes, we are now using an edge CDN to serve JS assets, and we have pre-rendered React pages!

                #StackDecisionsLaunch #SSR #Microservices #FrontEndRepoSplit

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                Python

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                • 220
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                • 77
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                • 59
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                • 49
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                • 45
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                • 35
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                • 29
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                • 28
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                • 23
                  Simple is better than complex
                • 20
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                • 19
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                • 18
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                • 17
                  Powerfull language
                • 17
                  Machine learning support
                • 16
                  Fast and simple
                • 14
                  Scripting
                • 12
                  Explicit is better than implicit
                • 11
                  Ease of development
                • 10
                  Clear and easy and powerfull
                • 9
                  Unlimited power
                • 8
                  It's lean and fun to code
                • 8
                  Import antigravity
                • 7
                  Print "life is short, use python"
                • 7
                  Python has great libraries for data processing
                • 6
                  Although practicality beats purity
                • 6
                  Flat is better than nested
                • 6
                  Great for tooling
                • 6
                  Rapid Prototyping
                • 6
                  Readability counts
                • 6
                  High Documented language
                • 6
                  I love snakes
                • 6
                  Fast coding and good for competitions
                • 6
                  There should be one-- and preferably only one --obvious
                • 6
                  Now is better than never
                • 5
                  Great for analytics
                • 5
                  Lists, tuples, dictionaries
                • 4
                  Easy to learn and use
                • 4
                  Simple and easy to learn
                • 4
                  Easy to setup and run smooth
                • 4
                  Web scraping
                • 4
                  CG industry needs
                • 4
                  Socially engaged community
                • 4
                  Complex is better than complicated
                • 4
                  Multiple Inheritence
                • 4
                  Beautiful is better than ugly
                • 4
                  Plotting
                • 3
                  If the implementation is hard to explain, it's a bad id
                • 3
                  Special cases aren't special enough to break the rules
                • 3
                  Pip install everything
                • 3
                  List comprehensions
                • 3
                  No cruft
                • 3
                  Generators
                • 3
                  Import this
                • 3
                  It is Very easy , simple and will you be love programmi
                • 3
                  Many types of collections
                • 3
                  If the implementation is easy to explain, it may be a g
                • 2
                  Batteries included
                • 2
                  Should START with this but not STICK with This
                • 2
                  Powerful language for AI
                • 2
                  Can understand easily who are new to programming
                • 2
                  Flexible and easy
                • 2
                  Good for hacking
                • 2
                  A-to-Z
                • 2
                  Because of Netflix
                • 2
                  Only one way to do it
                • 2
                  Better outcome
                • 1
                  Sexy af
                • 1
                  Slow
                • 1
                  Securit
                • 0
                  Ni
                • 0
                  Powerful
                CONS OF PYTHON
                • 53
                  Still divided between python 2 and python 3
                • 28
                  Performance impact
                • 26
                  Poor syntax for anonymous functions
                • 22
                  GIL
                • 19
                  Package management is a mess
                • 14
                  Too imperative-oriented
                • 12
                  Hard to understand
                • 12
                  Dynamic typing
                • 12
                  Very slow
                • 8
                  Indentations matter a lot
                • 8
                  Not everything is expression
                • 7
                  Incredibly slow
                • 7
                  Explicit self parameter in methods
                • 6
                  Requires C functions for dynamic modules
                • 6
                  Poor DSL capabilities
                • 6
                  No anonymous functions
                • 5
                  Fake object-oriented programming
                • 5
                  Threading
                • 5
                  The "lisp style" whitespaces
                • 5
                  Official documentation is unclear.
                • 5
                  Hard to obfuscate
                • 5
                  Circular import
                • 4
                  Lack of Syntax Sugar leads to "the pyramid of doom"
                • 4
                  The benevolent-dictator-for-life quit
                • 4
                  Not suitable for autocomplete
                • 2
                  Meta classes
                • 1
                  Training wheels (forced indentation)

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