Software Alternatives & Startups

PlayCanvas VS FastAPI

Compare PlayCanvas VS FastAPI and see what are their differences

PlayCanvas logo PlayCanvas

PlayCanvas is an open-source game engine built on WebGL and WebVR.

FastAPI logo FastAPI

FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.
  • PlayCanvas Landing page
    Landing page //
    2021-09-22
  • FastAPI Landing page
    Landing page //
    2023-05-14

PlayCanvas features and specs

  • Browser-Based
    PlayCanvas is entirely browser-based, which means you don't need to install any additional software. This allows for easy access from any computer with a web browser.
  • Real-Time Collaboration
    Multiple developers can work on the same project simultaneously, thanks to PlayCanvas's real-time collaboration features, similar to what you find in Google Docs.
  • Cross-Platform
    Games developed in PlayCanvas can be played across different platforms, including desktop, mobile, and VR with little modification.
  • Open Source Engine
    The PlayCanvas engine is open-source, which allows developers to understand, modify, and improve the underlying code to better suit their needs.
  • Fast Load Times
    The engine is highly optimized for performance, offering fast load times and an efficient execution of game code.
  • WebGL Support
    PlayCanvas leverages the power of WebGL, allowing for advanced 3D graphics directly in the web browser without needing plugins.

Possible disadvantages of PlayCanvas

  • Subscription Costs
    While there is a free tier, certain advanced features and additional storage require a paid subscription, which may be a barrier for smaller studios or hobbyists.
  • Internet Dependency
    Because it's browser-based, you need an internet connection to access the editor and some collaborative features, which can be a limitation in areas with poor connectivity.
  • Limited Asset Store
    PlayCanvas’s asset store is not as extensive as some competitors, meaning developers might need to spend more time creating or sourcing assets from third parties.
  • Learning Curve
    For those new to browser-based game development or the PlayCanvas engine specifically, there might be a steeper learning curve compared to other more established engines like Unity or Unreal.
  • Performance Limitations
    While PlayCanvas is optimized for web performance, it might not handle very large or complex games as well as some native engines.
  • Community and Support
    The user community and official support resources for PlayCanvas are smaller compared to larger engines like Unity or Unreal, potentially making it harder to find solutions to specific issues.

FastAPI features and specs

  • High Performance
    Built on Starlette and Pydantic, FastAPI is one of the fastest frameworks for Python, providing high performance due to its asynchronous request handling.
  • Automatic Interactive API Documentation
    FastAPI automatically generates interactive API documentation via Swagger UI and ReDoc, which are very helpful for development and testing.
  • Type Checking and Validation
    With Pydantic models and Python type hints, FastAPI provides automatic data validation and type checking, reducing the chance of runtime errors.
  • Ease of Use
    Its syntax and design make it easy to learn for Python developers, offering a smooth development experience while reducing boilerplate code.
  • Asynchronous Support
    FastAPI supports asynchronous programming, allowing for better performance for I/O-bound operations, making it optimal for handling many simultaneous connections.
  • Extensive Documentation
    It has comprehensive and well-structured documentation, which is very useful for both beginners and advanced users.
  • Community and Ecosystem
    FastAPI has a growing community and ecosystem, with many plugins and integrations available to extend its functionality.

Possible disadvantages of FastAPI

  • Learning Curve for Asynchronous Programming
    Although FastAPI itself is easy to learn, grasping the concepts of asynchronous programming in Python can be challenging for beginners.
  • Complex Dependencies
    Using Pydantic for advanced validation can make the request models complex, requiring a deeper understanding of Pydantic and its functionalities.
  • Early Stage Libraries
    Some third-party libraries and extensions specifically tailored for FastAPI might still be in early stages of development and lack long-term stability.
  • Limited Real-World Examples
    Although the documentation is extensive, there might be limited real-world examples and case studies readily available compared to more mature frameworks.
  • Deployment Complexity
    Deploying FastAPI applications might be more complex in comparison to traditional synchronous frameworks, mainly due to the need for asynchronous server setups.

Analysis of PlayCanvas

Overall verdict

  • PlayCanvas is regarded as a robust and flexible tool for developing web-based 3D games and applications. Its ease of use, cloud-based collaboration, and extensive feature set make it a strong choice, especially for projects that prioritize accessibility and collaboration.

Why this product is good

  • PlayCanvas is considered good because it is a powerful open-source WebGL game engine that allows developers to create interactive and visually appealing 3D applications directly in the browser. It offers a user-friendly interface and supports collaborative editing, making it ideal for teams. PlayCanvas also includes a comprehensive set of features such as physics integration, real-time lighting, and support for VR and AR, enhancing the development experience.

Recommended for

    PlayCanvas is recommended for indie developers, small to medium-sized teams, and educational purposes. It is especially suited for those who are looking to create web-based 3D content quickly and efficiently without needing extensive proprietary tools. It's also beneficial for projects that require real-time collaborative development environments.

Analysis of FastAPI

Overall verdict

  • FastAPI is widely regarded as a good choice, especially for applications that require high performance, scalability, and modern Python features. It is suitable for both simple and complex projects, making it a versatile tool in the web development ecosystem.

Why this product is good

  • FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. It is built on top of Starlette for web framework capabilities and Pydantic for data validation and settings management. FastAPI is known for its excellent performance, automatic generation of interactive API documentation (with Swagger and Redoc), and support for asynchronous programming. Developers appreciate its ease of use, detailed documentation, and helpful error messages.

Recommended for

  • Developers building RESTful APIs
  • Teams looking for a high-performance ASGI-based web framework
  • Projects that require asynchronous programming capabilities
  • Applications needing automatic generation of interactive API documentation
  • Python developers who prefer utilizing type hints for code clarity and validation

PlayCanvas videos

PlayCanvas Turns 1.0! Open Source 3D HTML5 Game Engine Is All Grown Up

More videos:

  • Tutorial - PlayCanvas Revisited -- Bowling With PlayCanvas Tutorial
  • Review - WebGL R&D: Unity vs Unreal vs PlayCanvas Comparison.

FastAPI videos

FastAPI from the ground up

More videos:

  • Tutorial - 30 Days of Python - Day 14 - Web App with Flask, FastAPI, ngrok, and Invictify - Python TUTORIAL
  • Review - [PT] Python - API com FastAPI - Chat | twitch.tv/codeshow

Category Popularity

0-100% (relative to PlayCanvas and FastAPI)
Game Development
100 100%
0% 0
Developer Tools
0 0%
100% 100
Game Engine
100 100%
0% 0
API Tools
0 0%
100% 100

User comments

Share your experience with using PlayCanvas and FastAPI. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare PlayCanvas and FastAPI

PlayCanvas Reviews

  1. Playcanvas is good

    As someone who recently started game development, finding the right engine has always been very difficult, It was till Chat-GPT (yes the Ai) recommended me playcanvas, it's Ui was challenging and its learning curve was steep, but at the end of the day it felt rewarding to understand and achieve something. So my final verdict, if you want to make 3D games, not go through the hassle of unity or work anywhere anytime, go for playcanvas.

    Competitors: Unity
    Pros:    Fun

Best Game Engines for Linux in 2021
PlayCanvas is an advanced WebGL game engine. With PlayCanvas, you can create interactive VR and 3D games. This game engine runs directly from the browser.
Source: kerneltips.com

FastAPI Reviews

  1. Kurslog team
    · Working at Kurslog ·

    When our backend team needs to build services for data parsing, aggregators, or high-load APIs, FastAPI is our absolute go-to choice. It completely lives up to its name-development speed is outstanding.

    The combination of Pydantic for data validation and built-in async support keeps our shared codebase clean, strictly typed, and reliable. But the biggest highlight for our cross-functional team is the automatic generation of interactive OpenAPI (Swagger) documentation. Our frontend and mobile developers no longer have to wait for backend engineers to manually update API docs; everything stays perfectly in sync automatically. It has drastically improved our team's communication and delivery speed.

    Pros:    Blazing fast performance (on par with nodejs and go)|Native asynchronous support out of the box|Automatic, interactive documentation generation (swagger/redoc)|Strict typing and data validation with pydantic
    Cons:    Smaller plug-and-play ecosystem compared to older frameworks like django|Requires our architects to design the project structure and directory layout from scratch

The 20 Best Laravel Alternatives for Web Development
FastAPI, as the name hints, is a swift mover. Built on Starlette, it’s all about speed and performance with Python. Crafting API masterpieces at the speed of light, now that’s something.
25 Python Frameworks to Master
Since its release in 2018, it has rapidly gained popularity due to its great performance and simplicity. In fact, according to PyPi Stats, FastAPI has over 9 million monthly downloads, surpassing even full-stack frameworks like Django.
Source: kinsta.com
3 Web Frameworks to Use With Python
myapp/ is the main directory of your FastAPI application. It includes all the other files and directories needed for the application.static/ is a directory used to store static assets such as CSS, JavaScript, and image files. These assets are served directly by the web server and are typically used to add visual styling and interactivity to the application.css/, img/, js/...
Best Alternatives to FastAPI App Free for Windows (2021)
FastAPI Alternative – So many alternatives app to FastAPI that you must to know out there. And, looking for an ideal software was not easy matter. Lucky you, at this page you can find the best replacement app for FastAPI. So what you are waiting for, get the latest FastAPI alternative app for Windows 10 from this page.
Top 5 Back-End Frameworks to Consider for Web Development in 2021
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints. It is fast when compared to other major Python frameworks like Flask and Django. FastAPI gives great flexibility to fulfill businesses’ API needs in today’s evolving world.

Social recommendations and mentions

Based on our record, FastAPI seems to be a lot more popular than PlayCanvas. While we know about 312 links to FastAPI, we've tracked only 30 mentions of PlayCanvas. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

PlayCanvas mentions (30)

  • Show HN: Spark, An advanced 3D Gaussian Splatting renderer for Three.js
    BabylonJS and the OP's own Aframe [1] seem to have similar licenses, similar number of Github stars and forks, although Aframe seems newer and more game / VR focused. How do Babylon, Aframe, Three.js, and PlayCanvas [2] compare from those that have used them? IIUC, PlayCanvas is the most mature, featureful, and performant, but it's commercial. Babylon is the featureful 3D engine, whereas Three.js is fairly raw.... - Source: Hacker News / about 1 year ago
  • Normal Map Interpolation on Deferred Shading
    For some reason that I cannot understand in my case the calculated shading normals are pixelated. Compared to playcanvas.com (probably a forward renderer), mine is like utter shit. Source: about 3 years ago
  • Migrating from WordPress After 12 Years
    PlayCanvas has been using WordPress for 12 years now. Generally speaking, it's been fine. However, after much consideration, we have migrated away to Jekyll + GitHub Pages. I thought our experience might be of interest to other WordPress users (if only to confirm why you wouldn't consider switching): Https://blog.playcanvas.com/moving-from-wordpress-to-jekyll-a-case-study/ Interested to hear peoples' thoughts... Source: over 3 years ago
  • I made a 3D editor that models in pure CSS+HTML
    It's just a cool tech demo that pushes CSS to its limits, but it's completely useless if you want to create usable 3d models. If you want to model in the browser, you can check out vectary, playcanvas, or spline. Source: over 3 years ago
  • I made a 3D editor that models in pure CSS+HTML
    The model in the video has no spheres, which is why the performance is decent. In any case, I agree with you for the most part, I'm just lazy and didn't expect anyone to actually want to use this for serious modelling. You should check out playcanvas or vectary if you are serious about in-browser 3D modelling. Source: over 3 years ago
View more

FastAPI mentions (312)

  • I Built My First Machine Learning API — Here's Everything I Learned
    I used FastAPI, a Python framework built specifically for creating APIs quickly, with automatic validation and interactive documentation baked in. - Source: dev.to / 27 days ago
  • Shipping Sovereign SDK: Cryptographic Forensic Receipts and the End of the AI "Prose Tax"
    The Sovereign SDK is a Python-native framework designed to minimize prose overhead while generating ironclad, cryptographic execution receipts for AI agents, complete with drop-in FastAPI/Starlette ASGI middleware. - Source: dev.to / 4 months ago
  • 5-Minute AI Jobs and Closed Tabs — Why We Built Replay-Then-Tail SSE
    We had a feature in production where a single user request could run for five-plus minutes — fetch documents, chunk them, hit an LLM per chunk, synthesize a final answer. We did the obvious thing first: a FastAPI handler that ran the pipeline and streamed progress back to the browser over Server-Sent Events. - Source: dev.to / 4 months ago
  • FastAPI With LangChain and MongoDB
    FastAPI is a Python framework for building APIs quickly, efficiently, and with very little code. - Source: dev.to / 5 months ago
  • I Built A " CrowdSense AI " : A Scalable, Context-Aware Platform for Smart Stadiums
    Backend: Python-based FastAPI for its asynchronous I/O capabilities and rapid JSON serialization. - Source: dev.to / 5 months ago
View more

What are some alternatives?

When comparing PlayCanvas and FastAPI, you can also consider the following products

Unity - The multiplatform game creation tools for everyone.

Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.

Unreal Engine - Unreal Engine 4 is a suite of integrated tools for game developers to design and build games, simulations, and visualizations.

ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple

Blender - Blender is the open source, cross platform suite of tools for 3D creation.

Django - The Web framework for perfectionists with deadlines