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Goxel VS Plotly

Compare Goxel VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Goxel logo Goxel

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

Plotly logo Plotly

Low-Code Data Apps
  • Goxel Landing page
    Landing page //
    2023-08-05
  • Plotly Landing page
    Landing page //
    2023-07-31

Goxel features and specs

  • Open Source
    Goxel is freely available for download, use, and customization under an open-source license. This makes it accessible to hobbyists, students, and professionals without cost barriers.
  • Cross-Platform Compatibility
    Goxel supports multiple operating systems including Windows, macOS, Linux, iOS, and Android, ensuring that users can work on their voxel models regardless of their preferred platform.
  • User-Friendly Interface
    The software features an intuitive user interface that lowers the learning curve for new users, making it easier for them to get started with voxel art and design.
  • Frequent Updates
    The active development and frequent updates mean that users often benefit from new features, bug fixes, and improvements.
  • Community Support
    Being open-source, Goxel has an active community of users and developers who contribute to its growth and are available for support and collaboration.

Possible disadvantages of Goxel

  • Limited Advanced Features
    Compared to some specialized or commercial voxel editors, Goxel may lack some advanced features, tools, or integrations that power users might need.
  • Performance
    On lower-end hardware, performance can lag when dealing with complex or large models, as voxel editing can be resource-intensive.
  • Learning Resources
    Compared to more popular software, Goxel has fewer tutorials and learning resources available, which can make it a bit challenging for newcomers to master advanced aspects of the tool.
  • Export Options
    While Goxel supports several file formats, its export capabilities might be limited compared to other professional voxel editing tools, possibly requiring additional steps for full compatibility with other software.
  • Mobile Device Constraints
    Although Goxel is available on mobile devices, the smaller screen size and touchscreen interface can limit the precision and ease of use compared to desktop versions.

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 Goxel

Overall verdict

  • Yes, Goxel is considered a good tool for voxel art creation. Its cross-platform availability, ease of use, and robust features make it a valuable tool for both beginners and experienced users.

Why this product is good

  • Goxel is a versatile open-source voxel editor that provides an intuitive interface for creating 3D models. It supports multiple platforms, which means you can use it on Windows, macOS, Linux, iOS, and Android. Its features include an easy-to-use painting tool, multiple export options, and support for various voxel file formats, making it a favorite among artists and game developers who work with voxel art.

Recommended for

    Artists and developers interested in voxel art creation, game developers working on stylized and retro 3D games, and anyone looking for an open-source voxel model editor with a low learning curve.

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.

Goxel videos

+ Add

GOXEL workflow

More videos:

  • Review - Goxel - VoxelArt - SpeedArt
  • Review - Goxel editor tour 01: Mouse basics

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 Goxel and Plotly)

Goxel

Plotly

3D
100 100%
3D
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Game Development
100 100%
Game Development
0% 0
Charting Libraries
0 0%
Charting Libraries
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 Goxel and Plotly

Goxel Reviews

We have no reviews of Goxel 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.
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 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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Goxel. While we know about 34 links to Plotly, we've tracked only 1 mention of Goxel. 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.

Goxel mentions (1)

  • Magicavoxel ...
    Goxel exist, tho the UI isn't that nice and resource usage is high asf. Source: over 3 years ago

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
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What are some alternatives?

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

MagicaVoxel - A free lightweight GPU-based voxel art editor and interactive path tracing renderer.

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.

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

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

Cubik Studio - Model in a unique cubic style. Start modelization with boxes. Move, rotate and scale cuboids.

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.

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