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raylib VS Plotly

Compare raylib VS Plotly and see what are their differences

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raylib logo raylib

Cross-platform, open-source game development library in C.

Plotly logo Plotly

Low-Code Data Apps
  • raylib Landing page
    Landing page //
    2022-07-08
  • Plotly Landing page
    Landing page //
    2023-07-31

raylib features and specs

  • Simple and Easy to Use
    Raylib offers a straightforward API, making it ideal for beginners and those looking to quickly prototype game ideas without dealing with complex set-up or configurations.
  • Cross-Platform Support
    Raylib supports multiple platforms, including Windows, Linux, macOS, and HTML5, allowing developers to build games that can run on different operating systems.
  • Lightweight
    This library is lightweight and requires minimal dependencies, which makes it fast to compile and easy to include in various projects.
  • Modular Design
    Raylib's modular design allows developers to use only the modules they need, which can help to optimize the application and reduce its size.
  • Growing Community
    With an active and growing community, raylib provides a support network of enthusiasts and developers, as well as a variety of tutorials and shared projects.

Possible disadvantages of raylib

  • Limited Advanced Features
    Raylib may lack some of the more advanced features found in other mature game development frameworks, which might be a drawback for experienced developers looking for advanced functionalities.
  • Smaller Ecosystem
    Compared to more popular engines, raylib has a smaller ecosystem, meaning fewer third-party tools, plugins, and extensions, which could limit development options.
  • Learning Curve for Advanced Topics
    While it's beginner-friendly at a basic level, mastering more advanced development with raylib may require digging deeper into C programming and understanding low-level details.
  • Limited Official Documentation
    The official documentation, although available, might not be as comprehensive or detailed as what’s offered by larger frameworks, potentially leading to reliance on community support.
  • Lack of Built-in UI Tools
    Raylib does not include extensive graphical user interface tools, so developers might need to implement their own UI system or integrate third-party libraries for complex UI tasks.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

raylib videos

+ Add

Raylib 3.0 Released -- The Best Way to Learn C or C++ Game Development*

More videos:

  • Tutorial - Raylib tutorial | Episode 1 | Setting up Raylib and Creating a Window
  • Review - RayLib Receives An Epic MegaGrant!

Plotly videos

+ Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to raylib and Plotly)

raylib

Plotly

Game Engine
100 100%
Game Engine
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Game Development
100 100%
Game Development
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using raylib and Plotly. For example, how are they different and which one is better?
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Reviews

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

raylib Reviews

  1. Diliup Gabadamudalige
    · Partner at EMorphusGames ·
    Raylib, a hidden Powerhouse

    I got to know Raylib just a few days ago taking a course on learning C++ to start using Unreal Engine. I have a background with assembler(a long time ago), Python/Pygame, C#/Monogame, and Unity/C#. Within the few days I used it, I am simply blown away by the simplicity but yet extremely powerful Raylib library. The routines and functions are very clear and access is very simple. Everything is well documented. I am yet to go in-depth with the library but I never had such an experience in the past building games, which is my main interest. If you stumbled upon this by chance stop and give it a go. You'll never regret it. Right now I am thinking of the many ways I can use this with the languages I know.

    🏁 Competitors: MonoGame, Pygame

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly should be more popular than raylib. It has been mentiond 33 times since March 2021. 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.

raylib mentions (7)

  • New Year, New Game Engine - Nikola Engine Devlog 0
    You see, for the past several years I have used many programming languages and many more game frameworks and libraries. Programming languages like Java, C#, C++, and even, sadly, JavaScript (I know...). Game frameworks like LWJGL, SDL2, Raylib, MonoGame, SFML, and many more. Essentially, I have seen it all. Out of all of them, I think SDL2 was closer to what I was looking for, though, Raylib was the one I used the... - Source: dev.to / 3 months ago
  • Are there any game engines that support 3D that are more code orientated?
    It sounds like you're maybe asking for code frameworks/libraries instead of engines? Something like https://raylib.com/ might be better suited? Source: over 2 years ago
  • How can I make graphics games using cpp?
    I would recommend SFML or Raylib, they're both excellent and fairly easy to set up, plus have really good documentation. And if you decide to really dig into them you'll eventually be able to create any game you want. Source: over 2 years ago
  • Best C++ libraries for 2D game development
    I'd also recommend raylib as an option. Check out its website: http://raylib.com/. It is beginner friendly enough with good cheatsheet and examples. Source: almost 3 years ago
  • Question about graphic/game libraries
    Finally, you can use raylib.com , a C library but it has a great interface and multiple examples. Howeve, it is not wide-spread like SDL. Source: almost 4 years ago
View more

Plotly mentions (33)

  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / about 2 months ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / 4 months ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 6 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 11 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

When comparing raylib and Plotly, you can also consider the following products

SFML - SFML provides a simple interface to the various components of your PC, to ease the development of games and multimedia applications. It is composed of five modules: system, window, graphics, audio and network.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Godot Engine - Feature-packed 2D and 3D open source game engine.

Chart.js - Easy, object oriented client side graphs for designers and developers.

SDL - Simple DirectMedia Layer is a cross-platform multimedia library designed to provide low level...

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

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