Alternatives to Mockito logo

Alternatives to Mockito

JUnit, Appium, Robolectric, mockk, and JavaScript are the most popular alternatives and competitors to Mockito.
1.7K
178
+ 1
0

What is Mockito and what are its top alternatives?

Mockito is a popular Java framework used for creating mock objects in automated unit tests. It provides a simple and clean API for writing test cases and verifying behavior through mock objects. Mockito allows developers to simulate interactions with dependencies without the need for complex setups or external frameworks. However, one limitation of Mockito is that it does not support mocking of final classes or methods.

  1. PowerMock: PowerMock extends Mockito and other testing frameworks to allow mocking of final classes and static methods. Key features include support for mocking final classes and methods, integration with Mockito, JUnit, and TestNG, and compatibility with popular build tools. Pros include flexibility in mocking final classes and methods, but cons include increased complexity and potential for misuse.
  2. JMockit: JMockit is a mocking framework that offers advanced features for creating mock objects and verifying behavior. Key features include support for mocking final classes and methods, integration with JUnit and TestNG, and built-in support for code coverage analysis. Pros include powerful mocking capabilities, but cons include a steeper learning curve compared to Mockito.
  3. Mockk: Mockk is a mocking framework for Kotlin that provides a concise and expressive syntax for creating mock objects and stubbing behavior. Key features include support for Kotlin DSL, integration with popular testing libraries, and compatibility with Android development. Pros include Kotlin language support, but cons include limited documentation and community support compared to Mockito.
  4. EasyMock: EasyMock is a Java mocking framework that focuses on simplicity and ease of use for creating mock objects. Key features include support for creating mock objects with minimal code, integration with JUnit and TestNG, and compatibility with popular IDEs. Pros include simplicity in creating mock objects, but cons include less flexibility compared to Mockito.
  5. Spock Framework: The Spock Framework is a testing and specification framework for Java and Groovy that offers built-in mocking capabilities. Key features include support for writing specification-based test cases, integration with JUnit and TestNG, and a concise syntax for creating mock objects. Pros include expressive test case syntax, but cons include a learning curve for developers new to the framework.
  6. WireMock: WireMock is a standalone stubbing and mocking web service for testing HTTP-based APIs. Key features include support for creating mock HTTP endpoints, request matching and response stubbing, and integration with popular testing frameworks. Pros include comprehensive support for testing web services, but cons include setup and configuration overhead compared to Mockito for unit testing.
  7. PowerMockito: PowerMockito combines PowerMock and Mockito to provide enhanced mocking capabilities for final classes and static methods in Java tests. Key features include support for mocking final classes and methods, integration with Mockito, JUnit, and TestNG, and compatibility with popular build tools. Pros include extended capabilities for mocking final classes and methods, but cons include potential for misuse and increased complexity.
  8. WireMock.Net: WireMock.Net is a port of the WireMock HTTP stubbing and mocking web service for .NET applications. Key features include support for mocking HTTP endpoints, request matching and response stubbing, and integration with popular testing frameworks in the .NET ecosystem. Pros include the ability to test HTTP-based APIs in .NET applications, but cons include setup and configuration overhead compared to Mockito for unit testing.
  9. MockitoKotlin: MockitoKotlin is an idiomatic Kotlin wrapper for Mockito that provides a more Kotlin-friendly API for creating mock objects in tests. Key features include extension functions for Mockito classes, null safety in Kotlin, and seamless integration with Kotlin test frameworks. Pros include Kotlin language support and improved syntax for Mockito in Kotlin projects, but cons include the need for additional dependencies in Kotlin projects.
  10. Mockito2: Mockito2 is the latest version of the Mockito framework, which includes new features and improvements over the original Mockito library. Key features include enhanced mocking capabilities, improved error messages, and better integration with Java 8 features. Pros include continued support and updates for the Mockito framework, but cons include potential compatibility issues with existing Mockito codebases.

Top Alternatives to Mockito

  • 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. ...

  • Robolectric
    Robolectric

    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 ...

  • mockk
    mockk

    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. ...

  • 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. ...

Mockito alternatives & related posts

JUnit logo

JUnit

4.1K
612
0
A programmer-oriented testing framework for Java
4.1K
612
+ 1
0
PROS OF JUNIT
    Be the first to leave a pro
    CONS OF JUNIT
      Be the first to leave a con

      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

      562
      568
      28
      Automation for iOS and Android Apps
      562
      568
      + 1
      28
      PROS OF APPIUM
      • 12
        Webdriverio support
      • 6
        Java, C#, Python support
      • 3
        Open source
      • 2
        Great GUI with inspector
      • 2
        Active community
      • 1
        Support android test automation
      • 1
        Internal API access
      • 1
        Support iOS test automation
      CONS OF APPIUM
        Be the first to leave a con

        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 · 990.1K 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
        Robolectric logo

        Robolectric

        185
        31
        0
        An open-source testing framework for Android
        185
        31
        + 1
        0
        PROS OF ROBOLECTRIC
          Be the first to leave a pro
          CONS OF ROBOLECTRIC
            Be the first to leave a con

            related Robolectric posts

            mockk logo

            mockk

            36
            23
            0
            Mocking library for Kotlin
            36
            23
            + 1
            0
            PROS OF MOCKK
              Be the first to leave a pro
              CONS OF MOCKK
                Be the first to leave a con

                related mockk posts

                JavaScript logo

                JavaScript

                350.9K
                267.1K
                8.1K
                Lightweight, interpreted, object-oriented language with first-class functions
                350.9K
                267.1K
                + 1
                8.1K
                PROS OF JAVASCRIPT
                • 1.7K
                  Can be used on frontend/backend
                • 1.5K
                  It's everywhere
                • 1.2K
                  Lots of great frameworks
                • 896
                  Fast
                • 745
                  Light weight
                • 425
                  Flexible
                • 392
                  You can't get a device today that doesn't run js
                • 286
                  Non-blocking i/o
                • 236
                  Ubiquitousness
                • 191
                  Expressive
                • 55
                  Extended functionality to web pages
                • 49
                  Relatively easy language
                • 46
                  Executed on the client side
                • 30
                  Relatively fast to the end user
                • 25
                  Pure Javascript
                • 21
                  Functional programming
                • 15
                  Async
                • 13
                  Full-stack
                • 12
                  Setup is easy
                • 12
                  Its everywhere
                • 12
                  Future Language of The Web
                • 11
                  JavaScript is the New PHP
                • 11
                  Because I love functions
                • 10
                  Like it or not, JS is part of the web standard
                • 9
                  Expansive community
                • 9
                  Everyone use it
                • 9
                  Can be used in backend, frontend and DB
                • 9
                  Easy
                • 8
                  Easy to hire developers
                • 8
                  No need to use PHP
                • 8
                  For the good parts
                • 8
                  Can be used both as frontend and backend as well
                • 8
                  Powerful
                • 8
                  Most Popular Language in the World
                • 7
                  Popularized Class-Less Architecture & Lambdas
                • 7
                  It's fun
                • 7
                  Nice
                • 7
                  Versitile
                • 7
                  Hard not to use
                • 7
                  Its fun and fast
                • 7
                  Agile, packages simple to use
                • 7
                  Supports lambdas and closures
                • 7
                  Love-hate relationship
                • 7
                  Photoshop has 3 JS runtimes built in
                • 7
                  Evolution of C
                • 6
                  1.6K Can be used on frontend/backend
                • 6
                  Client side JS uses the visitors CPU to save Server Res
                • 6
                  It let's me use Babel & Typescript
                • 6
                  Easy to make something
                • 6
                  Can be used on frontend/backend/Mobile/create PRO Ui
                • 5
                  Promise relationship
                • 5
                  Stockholm Syndrome
                • 5
                  Function expressions are useful for callbacks
                • 5
                  Scope manipulation
                • 5
                  Everywhere
                • 5
                  Client processing
                • 5
                  Clojurescript
                • 5
                  What to add
                • 4
                  Because it is so simple and lightweight
                • 4
                  Only Programming language on browser
                • 1
                  Test2
                • 1
                  Easy to learn
                • 1
                  Easy to understand
                • 1
                  Not the best
                • 1
                  Hard to learn
                • 1
                  Subskill #4
                • 1
                  Test
                • 0
                  Hard 彤
                CONS OF JAVASCRIPT
                • 22
                  A constant moving target, too much churn
                • 20
                  Horribly inconsistent
                • 15
                  Javascript is the New PHP
                • 9
                  No ability to monitor memory utilitization
                • 8
                  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 · 10.1M 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

                289.8K
                174.2K
                6.6K
                Fast, scalable, distributed revision control system
                289.8K
                174.2K
                + 1
                6.6K
                PROS OF GIT
                • 1.4K
                  Distributed version control system
                • 1.1K
                  Efficient branching and merging
                • 959
                  Fast
                • 845
                  Open source
                • 726
                  Better than svn
                • 368
                  Great command-line application
                • 306
                  Simple
                • 291
                  Free
                • 232
                  Easy to use
                • 222
                  Does not require server
                • 27
                  Distributed
                • 22
                  Small & Fast
                • 18
                  Feature based workflow
                • 15
                  Staging Area
                • 13
                  Most wide-spread VSC
                • 11
                  Role-based codelines
                • 11
                  Disposable Experimentation
                • 7
                  Frictionless Context Switching
                • 6
                  Data Assurance
                • 5
                  Efficient
                • 4
                  Just awesome
                • 3
                  Github integration
                • 3
                  Easy branching and merging
                • 2
                  Compatible
                • 2
                  Flexible
                • 2
                  Possible to lose history and commits
                • 1
                  Rebase supported natively; reflog; access to plumbing
                • 1
                  Light
                • 1
                  Team Integration
                • 1
                  Fast, scalable, distributed revision control system
                • 1
                  Easy
                • 1
                  Flexible, easy, Safe, and fast
                • 1
                  CLI is great, but the GUI tools are awesome
                • 1
                  It's what you do
                • 0
                  Phinx
                CONS OF GIT
                • 16
                  Hard to learn
                • 11
                  Inconsistent command line interface
                • 9
                  Easy to lose uncommitted work
                • 7
                  Worst documentation ever possibly made
                • 5
                  Awful merge handling
                • 3
                  Unexistent preventive security flows
                • 3
                  Rebase hell
                • 2
                  When --force is disabled, cannot rebase
                • 2
                  Ironically even die-hard supporters screw up badly
                • 1
                  Doesn't scale for big data

                related Git posts

                Simon Reymann
                Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 9.2M 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 · 8.3M 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
                GitHub logo

                GitHub

                279.5K
                243.8K
                10.3K
                Powerful collaboration, review, and code management for open source and private development projects
                279.5K
                243.8K
                + 1
                10.3K
                PROS OF GITHUB
                • 1.8K
                  Open source friendly
                • 1.5K
                  Easy source control
                • 1.3K
                  Nice UI
                • 1.1K
                  Great for team collaboration
                • 867
                  Easy setup
                • 504
                  Issue tracker
                • 486
                  Great community
                • 482
                  Remote team collaboration
                • 451
                  Great way to share
                • 442
                  Pull request and features planning
                • 147
                  Just works
                • 132
                  Integrated in many tools
                • 121
                  Free Public Repos
                • 116
                  Github Gists
                • 112
                  Github pages
                • 83
                  Easy to find repos
                • 62
                  Open source
                • 60
                  It's free
                • 60
                  Easy to find projects
                • 56
                  Network effect
                • 49
                  Extensive API
                • 43
                  Organizations
                • 42
                  Branching
                • 34
                  Developer Profiles
                • 32
                  Git Powered Wikis
                • 30
                  Great for collaboration
                • 24
                  It's fun
                • 23
                  Clean interface and good integrations
                • 22
                  Community SDK involvement
                • 20
                  Learn from others source code
                • 16
                  Because: Git
                • 14
                  It integrates directly with Azure
                • 10
                  Newsfeed
                • 10
                  Standard in Open Source collab
                • 8
                  Fast
                • 8
                  It integrates directly with Hipchat
                • 8
                  Beautiful user experience
                • 7
                  Easy to discover new code libraries
                • 6
                  Smooth integration
                • 6
                  Cloud SCM
                • 6
                  Nice API
                • 6
                  Graphs
                • 6
                  Integrations
                • 6
                  It's awesome
                • 5
                  Quick Onboarding
                • 5
                  Remarkable uptime
                • 5
                  CI Integration
                • 5
                  Hands down best online Git service available
                • 5
                  Reliable
                • 4
                  Free HTML hosting
                • 4
                  Version Control
                • 4
                  Simple but powerful
                • 4
                  Unlimited Public Repos at no cost
                • 4
                  Security options
                • 4
                  Loved by developers
                • 4
                  Uses GIT
                • 4
                  Easy to use and collaborate with others
                • 3
                  IAM
                • 3
                  Nice to use
                • 3
                  Ci
                • 3
                  Easy deployment via SSH
                • 2
                  Good tools support
                • 2
                  Leads the copycats
                • 2
                  Free private repos
                • 2
                  Free HTML hostings
                • 2
                  Easy and efficient maintainance of the projects
                • 2
                  Beautiful
                • 2
                  Never dethroned
                • 2
                  IAM integration
                • 2
                  Very Easy to Use
                • 2
                  Easy to use
                • 2
                  All in one development service
                • 2
                  Self Hosted
                • 2
                  Issues tracker
                • 2
                  Easy source control and everything is backed up
                • 1
                  Profound
                CONS OF GITHUB
                • 53
                  Owned by micrcosoft
                • 37
                  Expensive for lone developers that want private repos
                • 15
                  Relatively slow product/feature release cadence
                • 10
                  API scoping could be better
                • 8
                  Only 3 collaborators for private repos
                • 3
                  Limited featureset for issue management
                • 2
                  GitHub Packages does not support SNAPSHOT versions
                • 2
                  Does not have a graph for showing history like git lens
                • 1
                  No multilingual interface
                • 1
                  Takes a long time to commit
                • 1
                  Expensive

                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 · 2.2M 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

                See more
                Python logo

                Python

                239.5K
                195.5K
                6.9K
                A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
                239.5K
                195.5K
                + 1
                6.9K
                PROS OF PYTHON
                • 1.2K
                  Great libraries
                • 961
                  Readable code
                • 846
                  Beautiful code
                • 787
                  Rapid development
                • 689
                  Large community
                • 435
                  Open source
                • 393
                  Elegant
                • 282
                  Great community
                • 272
                  Object oriented
                • 220
                  Dynamic typing
                • 77
                  Great standard library
                • 59
                  Very fast
                • 55
                  Functional programming
                • 49
                  Easy to learn
                • 45
                  Scientific computing
                • 35
                  Great documentation
                • 29
                  Productivity
                • 28
                  Easy to read
                • 28
                  Matlab alternative
                • 23
                  Simple is better than complex
                • 20
                  It's the way I think
                • 19
                  Imperative
                • 18
                  Free
                • 18
                  Very programmer and non-programmer friendly
                • 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)

                related Python posts

                Conor Myhrvold
                Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 10.1M 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
                Nick Parsons
                Building cool things on the internet 🛠️ at Stream · | 35 upvotes · 3.5M views

                Winds 2.0 is an open source Podcast/RSS reader developed by Stream with a core goal to enable a wide range of developers to contribute.

                We chose JavaScript because nearly every developer knows or can, at the very least, read JavaScript. With ES6 and Node.js v10.x.x, it’s become a very capable language. Async/Await is powerful and easy to use (Async/Await vs Promises). Babel allows us to experiment with next-generation JavaScript (features that are not in the official JavaScript spec yet). Yarn allows us to consistently install packages quickly (and is filled with tons of new tricks)

                We’re using JavaScript for everything – both front and backend. Most of our team is experienced with Go and Python, so Node was not an obvious choice for this app.

                Sure... there will be haters who refuse to acknowledge that there is anything remotely positive about JavaScript (there are even rants on Hacker News about Node.js); however, without writing completely in JavaScript, we would not have seen the results we did.

                #FrameworksFullStack #Languages

                See more