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Viz4D VS Plotly

Compare Viz4D VS Plotly and see what are their differences

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Viz4D logo Viz4D

Viz4D helps you create top-performing web-based 3D viewer that works great on mobile and VR. It is tailored for real-time Archviz walkthrough, 3D product configurator and presentation.

Plotly logo Plotly

Low-Code Data Apps
  • Viz4D Real-time 3D archviz in browser - WebGL product configurator
    Real-time 3D archviz in browser - WebGL product configurator //
    2024-01-31
  • Viz4D Realistic 3D Product configurator WebGL
    Realistic 3D Product configurator WebGL //
    2024-01-31
  • Viz4D View 3ds Max in VR - VR product configurator for furniture/interior
    View 3ds Max in VR - VR product configurator for furniture/interior //
    2024-01-31
  • Viz4D 3D Furniture configurator - VR viewer
    3D Furniture configurator - VR viewer //
    2024-01-31
  • Viz4D Exterior 3D walkthrough in browser - Viz4D engine
    Exterior 3D walkthrough in browser - Viz4D engine //
    2024-01-31
  • Viz4D 3D museum, virtual gallery on web powered by Viz4D engine
    3D museum, virtual gallery on web powered by Viz4D engine //
    2024-01-31
  • Viz4D Viz4D Editor - Unity/UE alternative for architecture
    Viz4D Editor - Unity/UE alternative for architecture //
    2024-01-31

Viz4D helps you create top-performing web-based 3D viewer that works great on mobile and VR. It is tailored for real-time Archviz walkthrough, 3D product configurator and presentation.

Thanks to the unique sets of AutoOptimization tech, even a complex architectural scene with multi-millions poly now can be viewed easily on standalone VR headset without connecting to PC.

Viz4D is being used in various fields to create VR showroom, real estate 3D walkthrough tour, virtual gallery, museum, furniture and WebGL product configurator in VR...

  • Plotly Landing page
    Landing page //
    2023-07-31

Viz4D features and specs

  • Virtual Reality
  • Auto Optimized
  • 3D Configurator
  • White-label 3D viewer

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 Viz4D

Overall verdict

  • Viz4D is considered a good choice for those who require advanced visualization capabilities. It is particularly beneficial for professionals in fields like data science, marketing, education, and any industry that relies heavily on data-driven decision-making.

Why this product is good

  • Viz4D offers a robust platform for creating interactive and immersive visualizations, making it ideal for users who need to present complex data in an engaging way. It supports a variety of tools and templates that cater to different industries, enhancing storytelling through data.

Recommended for

  • Data Scientists looking to visualize complex datasets
  • Marketing professionals needing to create impactful presentations
  • Educators seeking to engage students with interactive learning materials
  • Business analysts aiming to present data-driven insights effectively

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.

Viz4D videos

+ Add

Featured scene on Viz4D - Architectural VR viewer in browser

More videos:

  • Demo - Web-based 3D configurator
  • Review - View 3ds Max Archviz online with any mobile device | Viz4D interactive technology
  • Review - Bring 3ds Max scene into the Metaverse with Viz4D

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 Viz4D and Plotly)

Viz4D

Plotly

3D
100 100%
3D
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
VR
100 100%
VR
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

Questions and Answers

As answered by people managing Viz4D and Plotly.

What makes your product unique?

Viz4D's answer

Thanks to Viz4D's unique sets of AutoOptimization tech, even a complex architectural scene with multi-millions poly now can be viewed easily on standalone VR headset without connecting to PC.

Why should a person choose your product over its competitors?

Viz4D's answer

It is tailored for real-time Archviz walkthrough, 3D product configurator and presentation.

User comments

Share your experience with using Viz4D 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 Viz4D and Plotly

Viz4D Reviews

  1. vr3d

    Viz4D's VR experience and performance is best in class. Able to view architectural scene directly on Quest 2 without PC connection, which is great when demo to clients.

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 seems to be more popular. 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.

Viz4D mentions (0)

We have not tracked any mentions of Viz4D yet. Tracking of Viz4D recommendations started around Jan 2024.

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 / 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 / 12 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 Viz4D and Plotly, you can also consider the following products

Sketchfab - Sketchfab is an industrial design software tool is useful for ideation and for beginners in the industrial design field.

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.

Sketchfab VR - Explore countless user creations from Sketchfab in virtual reality.

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

Sketchfab configurator - Build your real-time 3D configurator

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

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