Software Alternatives, Accelerators & Startups

GLSL Sandbox VS Plotly

Compare GLSL Sandbox VS Plotly and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

GLSL Sandbox logo GLSL Sandbox

An online GSGL Shader Gallery and live development tool.

Plotly logo Plotly

Low-Code Data Apps
  • GLSL Sandbox Landing page
    Landing page //
    2021-09-25
  • Plotly Landing page
    Landing page //
    2023-07-31

GLSL Sandbox features and specs

  • Interactive Learning
    GLSL Sandbox offers a real-time environment where users can instantly see the effects of their GLSL code, which is excellent for learning and experimenting.
  • Community-Sharing
    Users can share their shaders with the community, allowing for collaborative learning and inspiration from the works of others.
  • No Setup Required
    As a web-based tool, GLSL Sandbox eliminates the need for complex setups or installations, making it accessible from any browser.
  • Quick Prototyping
    The platform allows for rapid prototyping of shader ideas, letting users test and iterate their designs efficiently.
  • Simple Interface
    GLSL Sandbox features a straightforward and user-friendly interface, making it easy for people new to GLSL to start creating.

Possible disadvantages of GLSL Sandbox

  • Limited Features
    Compared to more sophisticated IDEs, GLSL Sandbox lacks advanced tools and features such as debugging support, version control, and project management.
  • Performance Constraints
    Being browser-based, it may not handle complex shaders or provide the performance needed for more demanding graphics work.
  • No Offline Access
    GLSL Sandbox requires an internet connection, which can be a limitation for users who need to work offline.
  • Less Control Over Environment
    Users cannot customize the development environment as much as standalone applications, potentially limiting specific workflow preferences.
  • Shader Compatibility
    Since it runs in a web environment, compatibility issues may arise depending on the browser being used and its support for WebGL.

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.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

GLSL Sandbox videos

fractal GLSL sandbox review metroid like

More videos:

  • Review - Importing GLSL sandbox shaders and rendering under macOS Metal.

Plotly videos

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 GLSL Sandbox and Plotly)
3D
100 100%
0% 0
Data Visualization
0 0%
100% 100
Interactive Exhibits
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

Share your experience with using GLSL Sandbox and Plotly. 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 GLSL Sandbox and Plotly

GLSL Sandbox Reviews

We have no reviews of GLSL Sandbox yet.
Be the first one to post

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.
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...
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.

Social recommendations and mentions

Based on our record, Plotly should be more popular than GLSL Sandbox. 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.

GLSL Sandbox mentions (7)

  • Show HN: Psychedelic animation generator; (p)art of your next trip
    Https://iquilezles.org/ is a legend, see the articles and video tutorials. Aside from shadertoy I use https://glslsandbox.com/ (for some reason it has https errors now). It's the same concept and it has a lot of submissions that are more basic than shardertoy where you can easily change lines and see what happens. My intuition for these kind of shaders: They are just pure functions mapping an x,y coordinate to a... - Source: Hacker News / 3 months ago
  • WebGL minigame on my new portfolio website
    I also found this website just recently: https://webgl2fundamentals.org/ and it's something I'm definitely gonna read through fully. You may also check https://thebookofshaders.com/ for shaders tutorials (they also have a pretty good editor), https://www.shadertoy.com/ and https://glslsandbox.com/ for some shader ideas. https://iquilezles.org/ and especially his SDF tutorials on YouTube.... Source: over 2 years ago
  • Why does it do those "chunks"
    I was messing around with this when I noticed those weird chunks. Source: over 2 years ago
  • pygame_shaders - a module to easily integrate shaders with Pygame
    (The example shader below wasn't written by me, it can be found here https://glslsandbox.com/). Source: over 2 years ago
  • Website created to host, share, run and display GLSL shader code - shadergrounds.com
    For folks looking for something considerably more casual than shadertoy, there's also https://glslsandbox.com/ , which makes it stupid easy to grab an existing shader there, tweak 2 lines and publish the result. You probably won't gain fame or glory there, but it's a rather convenient practice ground. Source: over 2 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 / 3 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 / 5 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 / 7 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 / about 1 year 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 GLSL Sandbox and Plotly, you can also consider the following products

Shadertoy - Build shaders, share them, and learn from the best community.

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.

SHADERed - Lightweight, full-featured desktop tool for creating and testing HLSL and GLSL shaders

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

Shader Editor - Android app to create GLSL shaders and use them as live wallpaper

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...