What is Panda3D and what are its top alternatives?
Panda3D is a game engine and rendering toolkit that is open-source and free to use. It provides developers with a powerful set of tools for creating 3D games, simulations, and interactive applications. Some key features of Panda3D include support for multiple platforms, a robust physics engine, easy integration of assets from popular 3D modeling software, and a large community for support and resources. However, some limitations of Panda3D include a steeper learning curve compared to other game engines and a lack of advanced features found in more commercial game engines.
Unity: Unity is a popular game engine that offers a wide range of tools and features for game development. It has a user-friendly interface, a large asset store for resources, and support for multiple platforms. Some pros include a vast community, frequent updates, and robust graphics capabilities. However, cons may include higher costs for certain features and limitations on customization.
Unreal Engine: Unreal Engine is another widely used game engine known for its high-quality graphics, visual scripting capabilities, and cross-platform support. Pros of Unreal Engine include advanced graphics rendering, flexible customizations, and a large community. However, cons may include a steeper learning curve and higher system requirements.
Godot Engine: Godot Engine is an open-source game engine that is user-friendly and lightweight. It offers a simple yet powerful development environment, support for 2D and 3D games, and a dedicated community. Pros of Godot Engine include a small learning curve, excellent documentation, and a customizable interface. However, cons may include fewer pre-built assets and less robust graphics compared to other engines.
CryEngine: CryEngine is a game engine known for its stunning visuals, advanced physics system, and realistic lighting effects. Pros of CryEngine include powerful rendering capabilities, advanced AI tools, and a large collection of assets. However, cons may include higher system requirements and a smaller community compared to other engines.
Amazon Lumberyard: Amazon Lumberyard is a free game engine that offers integrated cloud services, advanced networking capabilities, and VR support. Pros of Amazon Lumberyard include seamless integration with Amazon Web Services, a robust multiplayer framework, and a visual scripting editor. However, cons may include limited documentation and fewer tutorials compared to other engines.
GameMaker Studio: GameMaker Studio is a game development platform that is popular for creating 2D games. It offers a drag-and-drop interface, built-in physics engine, and support for multiple platforms. Pros of GameMaker Studio include easy prototyping, quick deployment, and a large community of developers. However, cons may include limitations on complex 3D games and performance issues for large projects.
Armory3D: Armory3D is an open-source game engine that uses Blender as its main editor. It features a real-time rendering engine, visual scripting, and support for both 2D and 3D games. Pros of Armory3D include seamless integration with Blender, fast prototyping, and a compact build size. However, cons may include limited documentation and a smaller user base compared to other engines.
Defold: Defold is a game engine that focuses on mobile game development with support for 2D games. It offers a collaborative environment, easy cross-platform deployment, and a lightweight engine size. Pros of Defold include fast iteration times, built-in analytics tools, and a visual editor for quick game creation. However, cons may include limitations on complex 3D games and fewer resources compared to other engines.
Flax Engine: Flax Engine is a new game engine that aims to provide a AAA-quality development environment with advanced features. It offers a customizable editor, real-time global illumination, and a visual programming system. Pros of Flax Engine include advanced rendering capabilities, multiplayer networking tools, and a growing set of features. However, cons may include a smaller community and fewer resources compared to more established engines.
Phaser: Phaser is a popular framework for creating HTML5 games with support for both mobile and desktop platforms. It offers a fast game development cycle, easy deployment to the web, and a rich set of features for 2D game creation. Pros of Phaser include a vast library of plugins, continuous updates, and strong community support. However, cons may include performance limitations for intensive games and a focus on 2D rather than 3D game development.
Top Alternatives to Panda3D
- 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. ...
- 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. ...
- 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
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. ...
- OpenGL
It is a cross-language, cross-platform application programming interface for rendering 2D and 3D vector graphics. The API is typically used to interact with a graphics processing unit, to achieve hardware-accelerated rendering. ...
- Kivy
It is an open source Python library for rapid development of applications that make use of innovative user interfaces, such as multi-touch apps. It runs on Linux, Windows, OS X, Android, iOS, and Raspberry Pi. You can run the same code on all supported platforms. ...
- 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. ...
- 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. ...
Panda3D alternatives & related posts
Python
- Great libraries1.2K
- Readable code964
- Beautiful code847
- Rapid development788
- Large community691
- Open source438
- Elegant393
- Great community282
- Object oriented273
- Dynamic typing221
- Great standard library77
- Very fast60
- Functional programming55
- Easy to learn51
- Scientific computing46
- Great documentation35
- Productivity29
- Easy to read28
- Matlab alternative28
- Simple is better than complex24
- It's the way I think20
- Imperative19
- Very programmer and non-programmer friendly18
- Free18
- Powerfull language17
- Machine learning support17
- Fast and simple16
- Scripting14
- Explicit is better than implicit12
- Ease of development11
- Clear and easy and powerfull10
- Unlimited power9
- Import antigravity8
- It's lean and fun to code8
- Print "life is short, use python"7
- Python has great libraries for data processing7
- Rapid Prototyping6
- Readability counts6
- Now is better than never6
- Great for tooling6
- Flat is better than nested6
- Although practicality beats purity6
- I love snakes6
- High Documented language6
- There should be one-- and preferably only one --obvious6
- Fast coding and good for competitions6
- Web scraping5
- Lists, tuples, dictionaries5
- Great for analytics5
- Easy to setup and run smooth4
- Easy to learn and use4
- Plotting4
- Beautiful is better than ugly4
- Multiple Inheritence4
- Socially engaged community4
- Complex is better than complicated4
- CG industry needs4
- Simple and easy to learn4
- It is Very easy , simple and will you be love programmi3
- Flexible and easy3
- Many types of collections3
- If the implementation is easy to explain, it may be a g3
- If the implementation is hard to explain, it's a bad id3
- Special cases aren't special enough to break the rules3
- Pip install everything3
- List comprehensions3
- No cruft3
- Generators3
- Import this3
- Powerful language for AI3
- Can understand easily who are new to programming2
- Should START with this but not STICK with This2
- A-to-Z2
- Because of Netflix2
- Only one way to do it2
- Better outcome2
- Batteries included2
- Good for hacking2
- Securit2
- Procedural programming1
- Best friend for NLP1
- Slow1
- Automation friendly1
- Sexy af1
- Ni0
- Keep it simple0
- Powerful0
- Still divided between python 2 and python 353
- Performance impact28
- Poor syntax for anonymous functions26
- GIL22
- Package management is a mess19
- Too imperative-oriented14
- Hard to understand12
- Dynamic typing12
- Very slow12
- Indentations matter a lot8
- Not everything is expression8
- Incredibly slow7
- Explicit self parameter in methods7
- Requires C functions for dynamic modules6
- Poor DSL capabilities6
- No anonymous functions6
- Fake object-oriented programming5
- Threading5
- The "lisp style" whitespaces5
- Official documentation is unclear.5
- Hard to obfuscate5
- Circular import5
- Lack of Syntax Sugar leads to "the pyramid of doom"4
- The benevolent-dictator-for-life quit4
- Not suitable for autocomplete4
- Meta classes2
- Training wheels (forced indentation)1
related Python posts
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
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
- Easy to install3
- Simple1
- Lightweigt by only being 12 mb1
- Has only 2d2
- Slow1
related pygame posts
- Open source13
- Easy to port7
- Supports both C++, C# and GDScript6
- Cross-Platform6
- Simple5
- Avaible on Steam For Free4
- GDScript is Based On Python3
- Harder to learn1
- Performance in 3D1
- Need opengl 2.1 / 3.31
- Somewhat poor 3D performance and lacks automatic LODs1
related Godot posts
- Free for Commercial and Personal Use9
- Layers4
- Usable For Graphic Design4
- Dozens of free addons, courses and an active community3
- Long Render Time (every 3d program ever)2
- Blender dropped the game engine, see UPBGE1
- Confusing UI and shortcut navigation for newcomers1
related Blender posts
related OpenGL posts
- Readable8
- Pythonic6
- Simple5
- Convert to APK file1
- Same function but different name for different widgets2
related Kivy posts
We are developing an AWS IoT app for large boats. The IoT devices have sensors all over the boat for engine oil pressure, position, water depth, fuel level, crew location, etc. When the boat has internet, we interact with AWS cloud using lambda and Amazon DynamoDB. When the boat is offshore, the captain and crew still need normal and emergency alerts and real-time sensor information. The crew might have an Android or IoS phone or a Windows or macOS PC to receive alerts and interact with sensors. We may use the AWS GreenGrasss edge computing solution and either MQTT or HTML for that function.
Question: We want to develop a cross-platform client to run on Windows, Mac, Android, IOS, and possibly Linux. We are primarily Python programmers, so PyQt or Kivy are options for us, but we have heard good things about React Native, Flutter, Xamarin, and others. We think an AWS Greengrass core on an RPI4 could communicate to the client with MQTT or a local webserver with a client web interface.
Any thoughts would be much appreciated.
JavaScript
- Can be used on frontend/backend1.7K
- It's everywhere1.5K
- Lots of great frameworks1.2K
- Fast898
- Light weight746
- Flexible425
- You can't get a device today that doesn't run js392
- Non-blocking i/o286
- Ubiquitousness237
- Expressive191
- Extended functionality to web pages55
- Relatively easy language49
- Executed on the client side46
- Relatively fast to the end user30
- Pure Javascript25
- Functional programming21
- Async15
- Full-stack13
- Future Language of The Web12
- Setup is easy12
- Its everywhere12
- Because I love functions11
- JavaScript is the New PHP11
- Like it or not, JS is part of the web standard10
- Easy9
- Can be used in backend, frontend and DB9
- Expansive community9
- Everyone use it9
- Easy to hire developers8
- Most Popular Language in the World8
- For the good parts8
- Can be used both as frontend and backend as well8
- No need to use PHP8
- Powerful8
- Evolution of C7
- Its fun and fast7
- It's fun7
- Nice7
- Versitile7
- Hard not to use7
- Popularized Class-Less Architecture & Lambdas7
- Agile, packages simple to use7
- Supports lambdas and closures7
- Love-hate relationship7
- Photoshop has 3 JS runtimes built in7
- 1.6K Can be used on frontend/backend6
- Client side JS uses the visitors CPU to save Server Res6
- It let's me use Babel & Typescript6
- Easy to make something6
- Can be used on frontend/backend/Mobile/create PRO Ui6
- Client processing5
- What to add5
- Everywhere5
- Scope manipulation5
- Function expressions are useful for callbacks5
- Stockholm Syndrome5
- Promise relationship5
- Clojurescript5
- Only Programming language on browser4
- Because it is so simple and lightweight4
- Easy to learn and test1
- Easy to understand1
- Not the best1
- Subskill #41
- Hard to learn1
- Test21
- Test1
- Easy to learn1
- Hard 彤0
- A constant moving target, too much churn22
- Horribly inconsistent20
- Javascript is the New PHP15
- No ability to monitor memory utilitization9
- Shows Zero output in case of ANY error8
- Thinks strange results are better than errors7
- Can be ugly6
- No GitHub3
- Slow2
- HORRIBLE DOCUMENTS, faulty code, repo has bugs0
related JavaScript posts
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.
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
Node.js
- Npm1.4K
- Javascript1.3K
- Great libraries1.1K
- High-performance1K
- Open source804
- Great for apis486
- Asynchronous477
- Great community424
- Great for realtime apps390
- Great for command line utilities296
- Websockets85
- Node Modules83
- Uber Simple69
- Great modularity59
- Allows us to reuse code in the frontend58
- Easy to start42
- Great for Data Streaming35
- Realtime32
- Awesome28
- Non blocking IO25
- Can be used as a proxy18
- High performance, open source, scalable17
- Non-blocking and modular16
- Easy and Fun15
- Easy and powerful14
- Future of BackEnd13
- Same lang as AngularJS13
- Fullstack12
- Fast11
- Scalability10
- Cross platform10
- Simple9
- Mean Stack8
- Great for webapps7
- Easy concurrency7
- Typescript6
- Fast, simple code and async6
- React6
- Friendly6
- Control everything5
- Its amazingly fast and scalable5
- Easy to use and fast and goes well with JSONdb's5
- Scalable5
- Great speed5
- Fast development5
- It's fast4
- Easy to use4
- Isomorphic coolness4
- Great community3
- Not Python3
- Sooper easy for the Backend connectivity3
- TypeScript Support3
- Blazing fast3
- Performant and fast prototyping3
- Easy to learn3
- Easy3
- Scales, fast, simple, great community, npm, express3
- One language, end-to-end3
- Less boilerplate code3
- Npm i ape-updating2
- Event Driven2
- Lovely2
- Creat for apis1
- Node0
- Bound to a single CPU46
- New framework every day45
- Lots of terrible examples on the internet40
- Asynchronous programming is the worst33
- Callback24
- Javascript19
- Dependency hell11
- Dependency based on GitHub11
- Low computational power10
- Very very Slow7
- Can block whole server easily7
- Callback functions may not fire on expected sequence7
- Breaking updates4
- Unstable4
- Unneeded over complication3
- No standard approach3
- Bad transitive dependency management1
- Can't read server session1
related Node.js posts
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:
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
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.
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
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?