Alternatives to Unity logo

Alternatives to Unity

Unreal Engine, MonoGame, Godot, Blender, and JavaScript are the most popular alternatives and competitors to Unity.
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What is Unity and what are its top alternatives?

Unity is the ultimate game development platform. Use Unity to build high-quality 3D and 2D games, deploy them across mobile, desktop, VR/AR, consoles or the Web, and connect with loyal and enthusiastic players and customers.
Unity is a tool in the Game Development category of a tech stack.

Top Alternatives to Unity

  • Unreal Engine
    Unreal Engine

    It is a game engine that helps you make games. It is made up of several components that work together to drive the game. Its massive system of tools and editors allows you to organize your assets and manipulate them to create the gameplay for your game. ...

  • 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. ...

  • 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. ...

  • Blender
    Blender

    It is the free and open source 3D creation suite. It supports the entirety of the 3D pipeline—modeling, rigging, animation, simulation, rendering, compositing and motion tracking, even video editing and game creation. ...

  • 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. ...

  • Node.js
    Node.js

    Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices. ...

  • HTML5
    HTML5

    HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997. ...

Unity alternatives & related posts

Unreal Engine logo

Unreal Engine

375
34
A suite of integrated tools for game developers
375
34
PROS OF UNREAL ENGINE
  • 11
    C++
  • 6
    Blueprints
  • 5
    PBR
  • 4
    Suitable for any projects
  • 4
    Source Available
  • 3
    Convenient and modern UI
  • 1
    Most Popular Game engine
CONS OF UNREAL ENGINE
  • 6
    Heavy
  • 1
    A lot of "heaviness" myths around

related Unreal Engine 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

Godot logo

Godot

220
47
Free and open source 2D and 3D game engine
220
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

related Godot posts

Blender logo

Blender

382
20
Open Source 3D computer graphics software
382
20
PROS OF BLENDER
  • 9
    Free for Commercial and Personal Use
  • 4
    Layers
  • 4
    Usable For Graphic Design
  • 3
    Dozens of free addons, courses and an active community
CONS OF BLENDER
  • 2
    Long Render Time (every 3d program ever)
  • 1
    Blender dropped the game engine, see UPBGE
  • 1
    Confusing UI and shortcut navigation for newcomers

related Blender posts

JavaScript logo

JavaScript

371.1K
8.1K
Lightweight, interpreted, object-oriented language with first-class functions
371.1K
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

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.

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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

Python

250.3K
6.9K
A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
250.3K
6.9K
PROS OF PYTHON
  • 1.2K
    Great libraries
  • 965
    Readable code
  • 848
    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
    Powerful language for AI
  • 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)

related Python posts

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

See more
Shared insights
on
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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Node.js logo

Node.js

193K
8.5K
A platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
193K
8.5K
PROS OF NODE.JS
  • 1.4K
    Npm
  • 1.3K
    Javascript
  • 1.1K
    Great libraries
  • 1K
    High-performance
  • 805
    Open source
  • 487
    Great for apis
  • 477
    Asynchronous
  • 425
    Great community
  • 390
    Great for realtime apps
  • 296
    Great for command line utilities
  • 86
    Websockets
  • 84
    Node Modules
  • 69
    Uber Simple
  • 59
    Great modularity
  • 58
    Allows us to reuse code in the frontend
  • 42
    Easy to start
  • 35
    Great for Data Streaming
  • 32
    Realtime
  • 28
    Awesome
  • 25
    Non blocking IO
  • 18
    Can be used as a proxy
  • 17
    High performance, open source, scalable
  • 16
    Non-blocking and modular
  • 15
    Easy and Fun
  • 14
    Easy and powerful
  • 13
    Future of BackEnd
  • 13
    Same lang as AngularJS
  • 12
    Fullstack
  • 11
    Fast
  • 10
    Scalability
  • 10
    Cross platform
  • 9
    Simple
  • 8
    Mean Stack
  • 7
    Great for webapps
  • 7
    Easy concurrency
  • 6
    Typescript
  • 6
    Fast, simple code and async
  • 6
    React
  • 6
    Friendly
  • 5
    Control everything
  • 5
    Its amazingly fast and scalable
  • 5
    Easy to use and fast and goes well with JSONdb's
  • 5
    Scalable
  • 5
    Great speed
  • 5
    Fast development
  • 4
    It's fast
  • 4
    Easy to use
  • 4
    Isomorphic coolness
  • 3
    Great community
  • 3
    Not Python
  • 3
    Sooper easy for the Backend connectivity
  • 3
    TypeScript Support
  • 3
    Blazing fast
  • 3
    Performant and fast prototyping
  • 3
    Easy to learn
  • 3
    Easy
  • 3
    Scales, fast, simple, great community, npm, express
  • 3
    One language, end-to-end
  • 3
    Less boilerplate code
  • 2
    Npm i ape-updating
  • 2
    Event Driven
  • 2
    Lovely
  • 1
    Creat for apis
  • 0
    Node
CONS OF NODE.JS
  • 46
    Bound to a single CPU
  • 45
    New framework every day
  • 40
    Lots of terrible examples on the internet
  • 33
    Asynchronous programming is the worst
  • 24
    Callback
  • 19
    Javascript
  • 11
    Dependency hell
  • 11
    Dependency based on GitHub
  • 10
    Low computational power
  • 7
    Very very Slow
  • 7
    Can block whole server easily
  • 7
    Callback functions may not fire on expected sequence
  • 4
    Breaking updates
  • 4
    Unstable
  • 3
    Unneeded over complication
  • 3
    No standard approach
  • 1
    Bad transitive dependency management
  • 1
    Can't read server session

related Node.js posts

Anurag Maurya

Needs advice on code coverage tool in Node.js/ExpressJS with External API Testing Framework

Hello community,

I have a web application with the backend developed using Node.js and Express.js. The backend server is in one directory, and I have a separate API testing framework, made using SuperTest, Mocha, and Chai, in another directory. The testing framework pings the API, retrieves responses, and performs validations.

I'm currently looking for a code coverage tool that can accurately measure the code coverage of my backend code when triggered by the API testing framework. I've tried using Istanbul and NYC with instrumented code, but the results are not as expected.

Could you please recommend a reliable code coverage tool or suggest an approach to effectively measure the code coverage of my Node.js/Express.js backend code in this setup?

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Shared insights
on
Node.jsNode.jsGraphQLGraphQLMongoDBMongoDB

I just finished the very first version of my new hobby project: #MovieGeeks. It is a minimalist online movie catalog for you to save the movies you want to see and for rating the movies you already saw. This is just the beginning as I am planning to add more features on the lines of sharing and discovery

For the #BackEnd I decided to use Node.js , GraphQL and MongoDB:

  1. Node.js has a huge community so it will always be a safe choice in terms of libraries and finding solutions to problems you may have

  2. GraphQL because I needed to improve my skills with it and because I was never comfortable with the usual REST approach. I believe GraphQL is a better option as it feels more natural to write apis, it improves the development velocity, by definition it fixes the over-fetching and under-fetching problem that is so common on REST apis, and on top of that, the community is getting bigger and bigger.

  3. MongoDB was my choice for the database as I already have a lot of experience working on it and because, despite of some bad reputation it has acquired in the last months, I still believe it is a powerful database for at least a very long list of use cases such as the one I needed for my website

See more
HTML5 logo

HTML5

153.2K
2.2K
5th major revision of the core language of the World Wide Web
153.2K
2.2K
PROS OF HTML5
  • 448
    New doctype
  • 389
    Local storage
  • 334
    Canvas
  • 285
    Semantic header and footer
  • 240
    Video element
  • 121
    Geolocation
  • 106
    Form autofocus
  • 100
    Email inputs
  • 85
    Editable content
  • 79
    Application caches
  • 10
    Easy to use
  • 9
    Cleaner Code
  • 5
    Easy
  • 4
    Websockets
  • 4
    Semantical
  • 3
    Audio element
  • 3
    Content focused
  • 3
    Better
  • 3
    Modern
  • 2
    Compatible
  • 2
    Very easy to learning to HTML
  • 2
    Semantic Header and Footer, Geolocation, New Doctype
  • 2
    Portability
CONS OF HTML5
  • 2
    Easy to forget the tags when you're a begginner
  • 1
    Long and winding code

related HTML5 posts

Shared insights
on
MySQLMySQLPHPPHPJavaScriptJavaScriptHTML5HTML5

Hey guys, I need some advice on one thing. Currently, I am a fresher and know HTML5, CSS, JavaScript, PHP and, MySQL. Recently I got a client project through one of my friends and he wants me to build an E-learning Management System. Are these skills enough to build an LMS website?

Thanks in advance!! ;)

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Jan Vlnas
Senior Software Engineer at Mews · | 26 upvotes · 481.6K views
Shared insights
on
HTML5HTML5JavaScriptJavaScriptNext.jsNext.js

Few years ago we were building a Next.js site with a few simple forms. This required handling forms validation and submission, but instead of picking some forms library, we went with plain JavaScript and constraint validation API in HTML5. This shaved off a few KBs of dependencies and gave us full control over the validation behavior and look. I describe this approach, with its pros and cons, in a blog post.

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