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Made With ARKit VS Plotly

Compare Made With ARKit VS Plotly and see what are their differences

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Contents:
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  3. » Reviews
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Made With ARKit logo Made With ARKit

Hand-picked curation of the coolest stuff made with ARKit

Plotly logo Plotly

Low-Code Data Apps
  • Made With ARKit Landing page
    Landing page //
    2023-10-02
  • Plotly Landing page
    Landing page //
    2023-07-31

Made With ARKit features and specs

  • Curated Content
    Made With ARKit showcases a curated collection of augmented reality (AR) applications and projects, which helps users discover high-quality AR experiences created with Apple's ARKit.
  • Inspiration
    The platform can serve as a source of inspiration for developers and designers looking to see what’s possible with ARKit, sparking ideas for their own projects.
  • Community Engagement
    Made With ARKit fosters a sense of community among AR developers, allowing them to share their work, gain feedback, and collaborate with others in the space.
  • Visibility for Developers
    By being featured on Made With ARKit, developers can gain visibility for their projects, potentially attracting users, collaborators, or investors.
  • Showcases ARKit's Potential
    The platform highlights the capabilities of Apple's ARKit, demonstrating the innovative and diverse range of applications that can be built using the technology.

Possible disadvantages of Made With ARKit

  • Limited to ARKit
    Made With ARKit exclusively features projects created with Apple's ARKit, which may exclude or overlook compelling AR experiences built using other platforms or technologies.
  • Curation Bias
    The curated nature of the platform means there could be a bias in which projects are featured, potentially overlooking smaller or independent developers’ work.
  • Quality Control
    While curation aims to ensure quality, the subjective nature of what is deemed high-quality could result in a varied range of user experiences.
  • Dependence on ARKit Updates
    The platform's relevance is tied to the continuous innovation and updates from Apple's ARKit. Any slowdown or issues with ARKit itself could impact the platform's content stream.
  • Platform Dependency
    Developers who want visibility on Made With ARKit need to be developing specifically for the Apple ecosystem, which could limit their reach if they aim for cross-platform AR development.

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 Made With ARKit

Overall verdict

  • Made With ARKit is highly regarded as a useful and insightful platform for showcasing ARKit projects. Its well-organized and regularly updated content makes it a great resource for those interested in the latest advancements and applications in augmented reality.

Why this product is good

  • Made With ARKit is considered good because it curates a collection of innovative and creative applications, tools, and projects developed using ARKit, Apple's augmented reality platform. It serves as a valuable resource for developers, AR enthusiasts, and consumers to discover and explore the potential of AR technology. The platform helps highlight the diversity of AR applications, from gaming to utility apps, providing inspiration and insights into the capabilities of ARKit.

Recommended for

  • Developers looking for inspiration for AR projects using ARKit
  • Augmented reality enthusiasts eager to explore innovative apps
  • Businesses and educators interested in adopting AR immersive experiences
  • Consumers curious about the practical applications of AR technology

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.

Made With ARKit videos

+ Add

AR Restaurant Menu Concept made with ARKit

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 Made With ARKit and Plotly)

Made With ARKit

Plotly

Augmented Reality
100 100%
Augmented Reality
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
iPhone
100 100%
iPhone
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 Made With ARKit and Plotly

Made With ARKit Reviews

We have no reviews of Made With ARKit yet.
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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 more popular. 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.

Made With ARKit mentions (0)

We have not tracked any mentions of Made With ARKit yet. Tracking of Made With ARKit recommendations started around Mar 2021.

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 Made With ARKit 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.

Snap Art - Snap's augmented reality platform

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

AirMeasure - Turn your phone into a ruler with the power of AR

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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