Alternatives to libGDX logo

Alternatives to libGDX

MonoGame, Android Studio, Cocos2D-X, Godot, and JavaFX are the most popular alternatives and competitors to libGDX.
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What is libGDX and what are its top alternatives?

The framework provides an environment for rapid prototyping and fast iterations. Instead of deploying to Android/iOS/Javascript after each code change, you can run and debug your game on the desktop, natively. Desktop JVM features like code hotswapping reduce your iteration times considerably.
libGDX is a tool in the Game Development category of a tech stack.
libGDX is an open source tool with 24.4K GitHub stars and 6.5K GitHub forks. Here’s a link to libGDX's open source repository on GitHub

Top Alternatives to libGDX

  • MonoGame
    MonoGame

    It is a free C# framework used by game developers to make games for multiple platforms and other systems. It is also used to make Windows and Windows Phone games run on other systems. ...

  • Android Studio
    Android Studio

    Android Studio is a new Android development environment based on IntelliJ IDEA. It provides new features and improvements over Eclipse ADT and will be the official Android IDE once it's ready. ...

  • Cocos2D-X
    Cocos2D-X

    Cocos2d-x is an open-source and cross-platform open source free 2D game engine for mobile game development known for its speed, stability, and ease of use ...

  • Godot
    Godot

    It is an advanced, feature-packed, multi-platform 2D and 3D open source game engine. It is developed by hundreds of contributors from all around the world. ...

  • JavaFX
    JavaFX

    It is a set of graphics and media packages that enables developers to design, create, test, debug, and deploy rich client applications that operate consistently across diverse platforms. ...

  • pygame
    pygame

    It is a cross-platform set of Python modules designed for writing video games. It includes computer graphics and sound libraries designed to be used with the Python programming language. ...

  • 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. ...

  • 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. ...

libGDX alternatives & related posts

MonoGame logo

MonoGame

33
1
A free C# framework used by game developers
33
1
PROS OF MONOGAME
  • 1
    Cross-platform
CONS OF MONOGAME
  • 1
    Can't working in vs mac 2019
  • 1
    No GUI

related MonoGame posts

Android Studio logo

Android Studio

25.7K
361
Android development environment based on IntelliJ IDEA
25.7K
361
PROS OF ANDROID STUDIO
  • 176
    Android studio is a great tool, getting better and bet
  • 103
    Google's official android ide
  • 37
    Intelligent code editor with lots of auto-completion
  • 25
    Its powerful and robust
  • 5
    Easy creating android app
  • 3
    Amazing Layout Designer
  • 3
    Great Code Tips
  • 3
    Great tool & very helpful
  • 2
    Easy to use
  • 2
    Built in Emulator
  • 2
    Keyboard Shortcuts are Amazing Out of the box
CONS OF ANDROID STUDIO
  • 4
    Slow emulator
  • 4
    Huge memory usage
  • 2
    Using Intellij IDEA, while Intellij IDEA have too
  • 2
    Complex for begginers
  • 2
    No checking incompatibilities
  • 1
    Lags behind IntelliJ IDEA
  • 1
    Slow release process

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Julien DeFrance
Principal Software Engineer at Tophatter · | 8 upvotes · 453.9K views

As a Engineering Manager & Director at SmartZip, I had a mix of front-end, back-end, #mobile engineers reporting to me.

Sprints after sprints, I noticed some inefficiencies on the MobileDev side. People working multiple sprints in a row on their Xcode / Objective-C codebase while some others were working on Android Studio. After which, QA & Product ensured both applications were in sync, on a UI/UX standpoint, creating addional work, which also happened to be extremely costly.

Our resources being so limited, my role was to stop this bleeding and keep my team productive and their time, valuable.

After some analysis, discussions, proof of concepts... etc. We decided to move to a single codebase using React Native so our velocity would increase.

After some initial investment, our initial assumptions were confirmed and we indeed started to ship features a lot faster than ever before. Also, our engineers found a way to perform this upgrade incrementally, so the initial platform-specific codebase wouldn't have to entirely be rewritten at once but only gradually and at will.

Feedback around React Native was very positive. And I doubt - for the kind of application we had - no one would want to go back to two or more code bases. Our application was still as Native as it gets. And no feature or device capability was compromised.

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Gustavo Muñoz
Senior Software Engineer at JOOR · | 8 upvotes · 450.3K views

In my modest opinion, Flutter is the future of mobile development. The framework is as important to mobile as React is to the web. And seeing that React Native does not finish taking off, I am focusing all my efforts on learning Flutter and Dart. The ecosystem is amazing. The community is crazy about Flutter. There are enough resources to learn and enjoy the framework, and the tools developed to work with it are amazing. Android Studio or Visual Studio Code has incredible plugins and Dart is a pretty straight forward and easy-to-learn language, even more, if you came from JavaScript. I admit it. I'm in love with Flutter. When you are not a designer, having a framework focused on design an pretty things is a must. And counting with tools like #flare for animations makes everything easier. It is so amazing that I wish I had a big mobile project right now at work just to use Flutter.

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Cocos2D-X logo

Cocos2D-X

64
0
Open source game engine
64
0
PROS OF COCOS2D-X
    Be the first to leave a pro
    CONS OF COCOS2D-X
    • 2
      Popular only in Asia
    • 2
      Based on Chinese
    • 1
      No Multiple Languages
    • 1
      Not Popular in itch.io and in Steam
    • 1
      Very poor system
    • 1
      No GUI
    • 1
      Bad Windows Performance

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    Godot logo

    Godot

    221
    47
    Free and open source 2D and 3D game engine
    221
    47
    PROS OF GODOT
    • 14
      Open source
    • 7
      Supports both C++, C# and GDScript
    • 7
      Cross-Platform
    • 7
      Easy to port
    • 5
      Simple
    • 4
      Avaible on Steam For Free
    • 3
      GDScript is Based On Python
    CONS OF GODOT
    • 1
      Harder to learn
    • 1
      Performance in 3D
    • 1
      Need opengl 2.1 / 3.3
    • 1
      Somewhat poor 3D performance and lacks automatic LODs

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    JavaFX logo

    JavaFX

    282
    11
    A Java library for building Rich Internet Applications
    282
    11
    PROS OF JAVAFX
    • 11
      Light
    CONS OF JAVAFX
    • 1
      Community support less than qt
    • 1
      Complicated

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    pygame logo

    pygame

    117
    5
    Open Source python programming language library for making multimedia applications
    117
    5
    PROS OF PYGAME
    • 3
      Easy to install
    • 1
      Simple
    • 1
      Lightweigt by only being 12 mb
    CONS OF PYGAME
    • 2
      Has only 2d
    • 1
      Slow

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    JavaScript logo

    JavaScript

    372.3K
    8.1K
    Lightweight, interpreted, object-oriented language with first-class functions
    372.3K
    8.1K
    PROS OF JAVASCRIPT
    • 1.7K
      Can be used on frontend/backend
    • 1.5K
      It's everywhere
    • 1.2K
      Lots of great frameworks
    • 899
      Fast
    • 746
      Light weight
    • 425
      Flexible
    • 392
      You can't get a device today that doesn't run js
    • 286
      Non-blocking i/o
    • 237
      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
      Its everywhere
    • 12
      Future Language of The Web
    • 12
      Setup is easy
    • 11
      JavaScript is the New PHP
    • 11
      Because I love functions
    • 10
      Like it or not, JS is part of the web standard
    • 9
      Everyone use it
    • 9
      Can be used in backend, frontend and DB
    • 9
      Easy
    • 9
      Expansive community
    • 8
      For the good parts
    • 8
      Easy to hire developers
    • 8
      No need to use PHP
    • 8
      Most Popular Language in the World
    • 8
      Powerful
    • 8
      Can be used both as frontend and backend as well
    • 7
      It's fun
    • 7
      Its fun and fast
    • 7
      Popularized Class-Less Architecture & Lambdas
    • 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
    • 7
      Hard not to use
    • 7
      Versitile
    • 7
      Nice
    • 6
      Easy to make something
    • 6
      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
      It let's me use Babel & Typescript
    • 5
      Clojurescript
    • 5
      Everywhere
    • 5
      Scope manipulation
    • 5
      Function expressions are useful for callbacks
    • 5
      Stockholm Syndrome
    • 5
      Promise relationship
    • 5
      Client processing
    • 5
      What to add
    • 4
      Because it is so simple and lightweight
    • 4
      Only Programming language on browser
    • 1
      Subskill #4
    • 1
      Test2
    • 1
      Easy to understand
    • 1
      Not the best
    • 1
      Easy to learn
    • 1
      Hard to learn
    • 1
      Easy to learn and test
    • 1
      Love it
    • 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
    • 0
      HORRIBLE DOCUMENTS, faulty code, repo has bugs

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    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.

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    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 13.3M 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

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    Python logo

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    250.8K
    6.9K
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      Great libraries
    • 965
      Readable code
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      Beautiful code
    • 789
      Rapid development
    • 692
      Large community
    • 439
      Open source
    • 394
      Elegant
    • 283
      Great community
    • 274
      Object oriented
    • 222
      Dynamic typing
    • 78
      Great standard library
    • 62
      Very fast
    • 56
      Functional programming
    • 52
      Easy to learn
    • 47
      Scientific computing
    • 36
      Great documentation
    • 30
      Productivity
    • 29
      Matlab alternative
    • 29
      Easy to read
    • 25
      Simple is better than complex
    • 21
      It's the way I think
    • 20
      Imperative
    • 19
      Very programmer and non-programmer friendly
    • 19
      Free
    • 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
      Fast coding and good for competitions
    • 6
      There should be one-- and preferably only one --obvious
    • 6
      High Documented language
    • 6
      Readability counts
    • 6
      Rapid Prototyping
    • 6
      I love snakes
    • 6
      Now is better than never
    • 6
      Flat is better than nested
    • 6
      Great for tooling
    • 5
      Great for analytics
    • 5
      Web scraping
    • 5
      Lists, tuples, dictionaries
    • 4
      Complex is better than complicated
    • 4
      Socially engaged community
    • 4
      Plotting
    • 4
      Beautiful is better than ugly
    • 4
      Easy to learn and use
    • 4
      Easy to setup and run smooth
    • 4
      Simple and easy to learn
    • 4
      Multiple Inheritence
    • 4
      CG industry needs
    • 3
      List comprehensions
    • 3
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    • 3
      Flexible and easy
    • 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
    • 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
      No cruft
    • 3
      Generators
    • 3
      Import this
    • 2
      Can understand easily who are new to programming
    • 2
      Securit
    • 2
      Should START with this but not STICK with This
    • 2
      A-to-Z
    • 2
      Because of Netflix
    • 2
      Only one way to do it
    • 2
      Better outcome
    • 2
      Good for hacking
    • 2
      Batteries included
    • 2
      Procedural programming
    • 1
      Sexy af
    • 1
      Automation friendly
    • 1
      Slow
    • 1
      Best friend for NLP
    • 0
      Powerful
    • 0
      Keep it simple
    • 0
      Ni
    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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    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 13.3M 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

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    Shared insights
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    TensorFlowTensorFlowDjangoDjangoPythonPython

    Hi, I have an LMS application, currently developed in Python-Django.

    It works all very well, students can view their classes and submit exams, but I have noticed that some students are sharing exam answers with other students and let's say they already have a model of the exams.

    I want with the help of artificial intelligence, the exams to have different questions and in a different order for each student, what technology should I learn to develop something like this? I am a Python-Django developer but my focus is on web development, I have never touched anything from A.I.

    What do you think about TensorFlow?

    Please, I would appreciate all your ideas and opinions, thank you very much in advance.

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