Software Alternatives, Accelerators & Startups

Plotly VS MagicaVoxel

Compare Plotly VS MagicaVoxel 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.

Plotly logo Plotly

Low-Code Data Apps

MagicaVoxel logo MagicaVoxel

A free lightweight GPU-based voxel art editor and interactive path tracing renderer.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • MagicaVoxel Landing page
    Landing page //
    2022-12-17

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.

MagicaVoxel features and specs

  • User-Friendly Interface
    MagicaVoxel has an intuitive and easy-to-navigate interface, making it accessible for beginners to quickly create voxel art.
  • Free to Use
    MagicaVoxel is completely free, offering a powerful voxel art creation tool without any cost to the user.
  • Real-time Rendering
    The software includes a real-time rendering engine, allowing users to see changes and effects instantly, enhancing the creative process.
  • Lightweight Application
    MagicaVoxel is a lightweight application that doesn't require much system resources, making it suitable for a wide range of computer hardware.
  • Export Options
    It supports exporting models in various formats, which is useful for integration with other software or game engines.

Possible disadvantages of MagicaVoxel

  • Limited Animation Support
    MagicaVoxel does not have robust animation features, limiting its use for projects that require animated voxel art.
  • No Linux Version
    The software is only available for Windows and macOS, so Linux users are unable to directly use the application.
  • Lack of Advanced Features
    Some advanced modeling features present in other 3D modeling software are lacking, which can be a limitation for professional or complex projects.
  • Single File Limitation
    Each project is contained within a single file, which can become cumbersome when working on large or detailed scenes.
  • Limited Community and Resources
    The community and available resources, while growing, are still relatively limited compared to other more established 3D modeling software.

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.

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

MagicaVoxel videos

MagicaVoxel Overview

More videos:

  • Review - Neon City | 3D speed drawing + tiny review | MagicaVoxel
  • Review - My Top 6 MagicaVoxel Tips | Lyft City 3D Illustration Build

Category Popularity

0-100% (relative to Plotly and MagicaVoxel)
Data Visualization
100 100%
0% 0
3D
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Game Development
0 0%
100% 100

User comments

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Reviews

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

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 thatโ€™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.

MagicaVoxel Reviews

FAQ: What are the differences between Avoyd and MagicaVoxel?
Some things you can do in Avoyd that you can't do in MagicaVoxel: World size up to 26k voxels a side. No limit on the number of voxels other than memory. 64k materials (vs. 255 in .vox). Compressed .avwr voxel files, ~10 times smaller than .vox for large files. Import Minecraft maps .mca and .nbt schematics. Export to .hdr and .exr with image sizes up to 16k a side. Export...
Source: www.avoyd.com

Social recommendations and mentions

Based on our record, MagicaVoxel should be more popular than Plotly. It has been mentiond 57 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.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 5 months ago
  • 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 / over 1 year 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 / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    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 / over 1 year 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 2 years ago
View more

MagicaVoxel mentions (57)

  • I spent 4 months building Kharkiv in Minecraft
    You should check out this software: https://ephtracy.github.io/ You can build 3d models with blocks and even export them to minecraft. Source: about 3 years ago
  • Update on Vox Uristi: A voxels export tool to make 3D rendering of fortresses
    Hey there, I posted about Vox Uristi a while ago at the beginning of the development, and it's close to be feature complete - so here is an update. Vox Uristi is a tool to export fortresses in 3D models that can be opened in Magica Voxel to make renders. Blind made a nice video explaining the process. It relies on DFHack, and it's free and open source. Source: about 3 years ago
  • is magicavoxel safe?
    Also want to confirm that you're downloading it from the official website https://ephtracy.github.io/ and not anywhere else. Source: about 3 years ago
  • Avoyd 0.15.0 Full Release: MagicaVoxel .vox Export, Improved Denoiser and Fixes
    You can use the new export to MagicalVoxel .vox feature to export Avoyd worlds to the .vox format for use in MagicaVoxel along with other programs which support .vox such as Qubicle, IOLITE voxel game engine, RPG in a Box, Idu, Teardown and more. Source: about 3 years ago
  • Build | Tank | Mod: Chisels and Bits - Small Blocks
    So use multiple blocks. Or even better, use a different tool that integrates with MagicaVoxel. Source: over 3 years ago
View more

What are some alternatives?

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

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.

Goxel - Goxel is a simple, but powerful voxel graphic editor with 24-bit color support, unlimited scene...

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

VoxelShop - VoxelShop is an extremely intuitive and powerful software for OSX, Windows and Linux to modify and...

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Qubicle - Qubicle is a professional voxel editor optimized for the easy creation of 3D models