Alternatives to Panda3D logo

Alternatives to Panda3D

Python, pygame, Godot, Blender, and OpenGL are the most popular alternatives and competitors to Panda3D.
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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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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

    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
    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
    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. ...

  • OpenGL
    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
    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

    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

    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 logo

Python

245.7K
6.9K
A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
245.7K
6.9K
PROS OF PYTHON
  • 1.2K
    Great libraries
  • 964
    Readable code
  • 847
    Beautiful code
  • 788
    Rapid development
  • 691
    Large community
  • 438
    Open source
  • 393
    Elegant
  • 282
    Great community
  • 273
    Object oriented
  • 221
    Dynamic typing
  • 77
    Great standard library
  • 60
    Very fast
  • 55
    Functional programming
  • 51
    Easy to learn
  • 46
    Scientific computing
  • 35
    Great documentation
  • 29
    Productivity
  • 28
    Easy to read
  • 28
    Matlab alternative
  • 24
    Simple is better than complex
  • 20
    It's the way I think
  • 19
    Imperative
  • 18
    Very programmer and non-programmer friendly
  • 18
    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
    Import antigravity
  • 8
    It's lean and fun to code
  • 7
    Print "life is short, use python"
  • 7
    Python has great libraries for data processing
  • 6
    Rapid Prototyping
  • 6
    Readability counts
  • 6
    Now is better than never
  • 6
    Great for tooling
  • 6
    Flat is better than nested
  • 6
    Although practicality beats purity
  • 6
    I love snakes
  • 6
    High Documented language
  • 6
    There should be one-- and preferably only one --obvious
  • 6
    Fast coding and good for competitions
  • 5
    Web scraping
  • 5
    Lists, tuples, dictionaries
  • 5
    Great for analytics
  • 4
    Easy to setup and run smooth
  • 4
    Easy to learn and use
  • 4
    Plotting
  • 4
    Beautiful is better than ugly
  • 4
    Multiple Inheritence
  • 4
    Socially engaged community
  • 4
    Complex is better than complicated
  • 4
    CG industry needs
  • 4
    Simple and easy to learn
  • 3
    It is Very easy , simple and will you be love programmi
  • 3
    Flexible and easy
  • 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
    List comprehensions
  • 3
    No cruft
  • 3
    Generators
  • 3
    Import this
  • 3
    Powerful language for AI
  • 2
    Can understand easily who are new to programming
  • 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
    Batteries included
  • 2
    Good for hacking
  • 2
    Securit
  • 1
    Procedural programming
  • 1
    Best friend for NLP
  • 1
    Slow
  • 1
    Automation friendly
  • 1
    Sexy af
  • 0
    Ni
  • 0
    Keep it simple
  • 0
    Powerful
CONS OF PYTHON
  • 53
    Still divided between python 2 and python 3
  • 28
    Performance impact
  • 26
    Poor syntax for anonymous functions
  • 22
    GIL
  • 19
    Package management is a mess
  • 14
    Too imperative-oriented
  • 12
    Hard to understand
  • 12
    Dynamic typing
  • 12
    Very slow
  • 8
    Indentations matter a lot
  • 8
    Not everything is expression
  • 7
    Incredibly slow
  • 7
    Explicit self parameter in methods
  • 6
    Requires C functions for dynamic modules
  • 6
    Poor DSL capabilities
  • 6
    No anonymous functions
  • 5
    Fake object-oriented programming
  • 5
    Threading
  • 5
    The "lisp style" whitespaces
  • 5
    Official documentation is unclear.
  • 5
    Hard to obfuscate
  • 5
    Circular import
  • 4
    Lack of Syntax Sugar leads to "the pyramid of doom"
  • 4
    The benevolent-dictator-for-life quit
  • 4
    Not suitable for autocomplete
  • 2
    Meta classes
  • 1
    Training wheels (forced indentation)

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Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 13M 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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Nick Parsons
Building cool things on the internet 🛠️ at Stream · | 35 upvotes · 4.4M 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

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pygame logo

pygame

115
5
Open Source python programming language library for making multimedia applications
115
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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Godot logo

Godot

215
44
Free and open source 2D and 3D game engine
215
44
PROS OF GODOT
  • 13
    Open source
  • 7
    Easy to port
  • 6
    Supports both C++, C# and GDScript
  • 6
    Cross-Platform
  • 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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Blender logo

Blender

376
20
Open Source 3D computer graphics software
376
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

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OpenGL logo

OpenGL

167
0
An environment for developing 2D and 3D graphics applications
167
0
PROS OF OPENGL
    Be the first to leave a pro
    CONS OF OPENGL
      Be the first to leave a con

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      Kivy logo

      Kivy

      91
      20
      An open source Python framework
      91
      20
      PROS OF KIVY
      • 8
        Readable
      • 6
        Pythonic
      • 5
        Simple
      • 1
        Convert to APK file
      CONS OF KIVY
      • 2
        Same function but different name for different widgets

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      William Miller

      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.

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      I want to start working on mobile applications with Python, which tool do I need to consider with PyCharm, Kivy, or Flutter?

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      JavaScript logo

      JavaScript

      362.3K
      8.1K
      Lightweight, interpreted, object-oriented language with first-class functions
      362.3K
      8.1K
      PROS OF JAVASCRIPT
      • 1.7K
        Can be used on frontend/backend
      • 1.5K
        It's everywhere
      • 1.2K
        Lots of great frameworks
      • 898
        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
        Future Language of The Web
      • 12
        Setup is easy
      • 12
        Its everywhere
      • 11
        Because I love functions
      • 11
        JavaScript is the New PHP
      • 10
        Like it or not, JS is part of the web standard
      • 9
        Easy
      • 9
        Can be used in backend, frontend and DB
      • 9
        Expansive community
      • 9
        Everyone use it
      • 8
        Easy to hire developers
      • 8
        Most Popular Language in the World
      • 8
        For the good parts
      • 8
        Can be used both as frontend and backend as well
      • 8
        No need to use PHP
      • 8
        Powerful
      • 7
        Evolution of C
      • 7
        Its fun and fast
      • 7
        It's fun
      • 7
        Nice
      • 7
        Versitile
      • 7
        Hard not to use
      • 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
      • 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
        Client processing
      • 5
        What to add
      • 5
        Everywhere
      • 5
        Scope manipulation
      • 5
        Function expressions are useful for callbacks
      • 5
        Stockholm Syndrome
      • 5
        Promise relationship
      • 5
        Clojurescript
      • 4
        Only Programming language on browser
      • 4
        Because it is so simple and lightweight
      • 1
        Easy to learn and test
      • 1
        Easy to understand
      • 1
        Not the best
      • 1
        Subskill #4
      • 1
        Hard to learn
      • 1
        Test2
      • 1
        Test
      • 1
        Easy to learn
      • 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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      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 · 13M 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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      Node.js logo

      Node.js

      189.3K
      8.5K
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        Javascript
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        Open source
      • 486
        Great for apis
      • 477
        Asynchronous
      • 424
        Great community
      • 390
        Great for realtime apps
      • 296
        Great for command line utilities
      • 85
        Websockets
      • 83
        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

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      Shared insights
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      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

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      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?

      See more