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8th Wall VS Plotly

Compare 8th Wall VS Plotly and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

8th Wall logo 8th Wall

Cross-Platform Mobile AR

Plotly logo Plotly

Low-Code Data Apps
  • 8th Wall Landing page
    Landing page //
    2023-09-04
  • Plotly Landing page
    Landing page //
    2023-07-31

8th Wall features and specs

  • WebAR Capabilities
    8th Wall provides robust WebAR capabilities, allowing developers to create augmented reality experiences that can be accessed directly through a web browser without the need for users to download any apps.
  • Cross-Platform Compatibility
    The platform supports a wide range of devices including iOS and Android smartphones and tablets, ensuring that AR experiences are accessible to a large audience.
  • Ease of Integration
    8th Wall offers easy integration with existing web technologies and frameworks, making it straightforward for developers to incorporate AR features into web projects.
  • Comprehensive SDK
    The platform provides a comprehensive SDK with detailed documentation, making it easier for developers to get started and leverage the available features effectively.
  • Real-time Updates
    Since it operates on web technology, any updates or changes to AR experiences can be deployed quickly without requiring users to update an app.

Possible disadvantages of 8th Wall

  • Cost
    8th Wall operates on a subscription-based model which may be expensive for smaller developers or startups, potentially limiting access to its features.
  • Performance Limitations
    Web-based AR experiences might not perform as smoothly or as quickly as native app AR experiences, especially on older devices with limited processing power.
  • Internet Dependency
    As a web-based platform, 8th Wall AR experiences require a stable internet connection, which can be a downside for users in areas with poor connectivity.
  • Learning Curve
    Despite comprehensive documentation, there may still be a learning curve for developers unfamiliar with WebAR or the specific tools provided by 8th Wall.
  • Limited Native Features
    WebAR may not have access to all features available to native apps, such as certain hardware integrations, which can limit the complexity and interactivity of experiences.

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.

8th Wall videos

+ Add

Building WebAR with 8th Wall - Rigel Benton (8th Wall)

More videos:

  • Review - Getting Started With 8th Wall XR - Augmented Reality App Development
  • Review - 8th Wall Controller Overview - Build an AR App

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 8th Wall and Plotly)

8th Wall

Plotly

Augmented Reality
100 100%
Augmented Reality
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Design Tools
100 100%
Design Tools
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using 8th Wall 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 8th Wall and Plotly

8th Wall Reviews

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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 a lot more popular than 8th Wall. While we know about 34 links to Plotly, we've tracked only 1 mention of 8th Wall. 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.

8th Wall mentions (1)

  • Beginner looking for WebAR wisdom, guidance and warnings
    Check out https://8thwall.com for inspo. Source: about 4 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 / 6 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!🤓
    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 / almost 2 years 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 8th Wall and Plotly, you can also consider the following products

Zappar - Zappar is a clever little app that can see and recognise images and objects in the world around us.

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.

Hololink - Democratising Augmented Reality with the most intuitive editor on the market, combined with the highest performing image tracking. All web-based and app-free!

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

Cloudinary - Cloudinary is a cloud-based service for hosting videos and images designed specifically with the needs of web and mobile developers in mind.

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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