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Google ARCore VS Plotly

Compare Google ARCore VS Plotly and see what are their differences

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Google ARCore logo Google ARCore

Google Augmented Reality SDK

Plotly logo Plotly

Low-Code Data Apps
  • Google ARCore Landing page
    Landing page //
    2023-07-07
  • Plotly Landing page
    Landing page //
    2023-07-31

Google ARCore features and specs

  • Wide Device Compatibility
    ARCore supports a wide range of Android devices, making it accessible to a large user base.
  • High-Quality Tracking
    ARCore provides high-precision tracking and environmental understanding, enhancing the user experience in AR applications.
  • Cross-Platform
    ARCore supports not only Android but also iOS through the ARCore SDK for iOS, allowing developers to reach users on both platforms.
  • Integration with Google Services
    ARCore can be easily integrated with other Google services like Maps, enabling developers to create location-based AR experiences.
  • User-Friendly SDK
    Offers a comprehensive SDK with extensive documentation, tutorials, and community support, which eases the development process for beginners and experts alike.

Possible disadvantages of Google ARCore

  • Performance Variability
    Performance and capabilities can vary significantly across different Android devices, potentially leading to inconsistent user experiences.
  • Limited Advanced Features
    While ARCore provides the basic functionalities required for AR, it may lack some of the advanced features available in more specialized AR platforms.
  • Battery Consumption
    ARCore applications can be resource-intensive, leading to higher battery consumption on mobile devices.
  • iOS Limitations
    Although ARCore supports iOS, it may not be as deeply integrated or optimized as native ARKit applications, potentially limiting performance.
  • Dependency on Google Play Services
    ARCore relies on Google Play Services for AR, which may not be available in certain regions or on devices without Google Play support.

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 Google ARCore

Overall verdict

  • Google ARCore is a solid choice for developers looking to create high-quality AR experiences on Android devices. It continuously receives updates and support from Google, ensuring compatibility with a wide range of devices and keeping up with technological advancements in augmented reality.

Why this product is good

  • Google ARCore is considered good due to its robust set of features that enable developers to create immersive augmented reality experiences. It provides accurate motion tracking, environmental understanding, and light estimation, making it a powerful tool for AR applications on Android devices. Its integration with standard development environments like Unity and Unreal Engine also allows for seamless cross-platform development.

Recommended for

    Developers who are interested in creating interactive AR applications and experiences specifically for Android platforms will find ARCore particularly useful. It's also recommended for those who want to leverage existing mobile devices' capabilities without needing specialized hardware.

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.

Google ARCore videos

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Plotly videos

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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 Google ARCore and Plotly)

Google ARCore

Plotly

Augmented Reality
100 100%
Augmented Reality
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Development
100 100%
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 Google ARCore and Plotly

Google ARCore 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 should be more popular than Google ARCore. It has been mentiond 34 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.

Google ARCore mentions (10)

  • The Metaverse is Here: Building for Virtual Reality and Augmented Reality
    ARCore Developer Guide: Learn how to create AR apps with Google’s ARCore. - Source: dev.to / 11 months ago
  • We're accelerating the Android XR platform with a new agreement with HTC
    - There was the AR (https://developers.google.com/ar). - Source: Hacker News / over 1 year ago
  • App to get height of object.
    I don't know houw you would do it on ios but you should be able to do it on android if the phone supports it with.this library from google: https://developers.google.com/ar. Source: over 3 years ago
  • Tracking of an exact point of an object
    If you have any control on the choice of the source/webcam, I'd recommend using a camera that can sense depth from the start (lidar cameras, like Intel RealSense if you are building something like a commercial robot; or a consumer device with lidar capabilities like iPad Pros since 2020, because they come with SDKs to do what you want from the start. E.g. https://developer.apple.com/augmented-reality/arkit/ or... Source: over 4 years ago
  • Is it possible to run an AR application on a raspberry pi 4 Model B
    You guys are right that Unity doesn't support building for arm64 Linux. It looks like the op could potentially install Android on the Raspberry Pi, which may allow them to run Android APKs built with Unity. However, AR Core is needed in order for Unity's AR functionality to work, and I suspect it would take additional work to get AR Core working on the Pi with an external camera and gyroscope. Source: over 4 years ago
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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
View more

What are some alternatives?

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

Apple ARKit - A framework to create Augmented Reality experiences for iOS

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.

Vuforia SDK - Vuforia is a vision-based augmented reality software platform.

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

ARToolKit - The world's most widely used tracking library for augmented reality.

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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