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SketchAR VS Plotly

Compare SketchAR VS Plotly and see what are their differences

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Contents:
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  3. » Reviews
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SketchAR logo SketchAR

Start drawing easily using augmented reality

Plotly logo Plotly

Low-Code Data Apps
  • SketchAR Landing page
    Landing page //
    2022-12-12
  • Plotly Landing page
    Landing page //
    2023-07-31

SketchAR features and specs

  • Augmented Reality Feature
    SketchAR utilizes augmented reality to help users create drawings. It overlays the sketch onto real-world surfaces, making it easier for artists to follow complex patterns.
  • Educational Tool
    The app can be a powerful educational tool for individuals learning to draw or improve their skills.
  • NFT Marketplace
    Users can mint their artwork as NFTs and sell them directly through the SketchAR marketplace. This opens up possibilities for artists to monetize their creations.
  • Wide Range of Templates
    SketchAR provides a variety of templates and ready-to-use artworks, making it easy for beginners to start drawing.

Possible disadvantages of SketchAR

  • Limited Free Features
    Many of the app's more advanced features and templates are behind a paywall, which may limit the experience for users unwilling or unable to pay for premium features.
  • Requires Modern Devices
    The augmented reality capabilities necessitate a relatively modern smartphone or tablet, potentially excluding users with older devices.
  • Digital Medium Constraints
    For users who prefer traditional drawing methods, the digital nature of SketchAR's functionality may not provide the same tactile experience as paper and pencil.
  • Steep Learning Curve
    Although the app is designed to be user-friendly, some of the more advanced features may present a steep learning curve for new users.

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 SketchAR

Overall verdict

  • SketchAR is considered a good tool for artists, especially beginners and intermediates seeking a blend of technology and traditional art techniques. Its use of AR to facilitate learning and creativity is widely appreciated.

Why this product is good

  • SketchAR is a popular app that combines augmented reality (AR) with drawing. It allows users to project outlines onto paper through their devices to trace and improve their drawing skills. The platform offers step-by-step tutorials, an art community for engagement, and regular feature updates. These attributes make it a compelling choice for art enthusiasts looking to learn and refine their skills with modern technology.

Recommended for

  • Art students who are beginning to learn drawing techniques.
  • Hobbyists who want to improve their art skills in a guided manner.
  • Tech-savvy individuals interested in exploring AR applications in art.
  • Teachers looking for innovative tools to supplement art education.

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.

SketchAR videos

+ Add

Drawing with Augmented Reality: AMAZING or AWFUL?? - SketchAR Review *Brutally Honest*

More videos:

  • Review - SketchAR HoloLensEDU Review 2017
  • Review - SketchAR app - Learn to draw using Augmented Reality

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 SketchAR and Plotly)

SketchAR

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 SketchAR and Plotly

SketchAR Reviews

We have no reviews of SketchAR 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 a lot more popular than SketchAR. While we know about 34 links to Plotly, we've tracked only 1 mention of SketchAR. 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.

SketchAR mentions (1)

  • How to paint/sketch better?
    Practice is everything. The more you draw sketches more progress you get. When I graduated from the art academy, we went to a museum and copy famous artists to understand their lines, shapes, and composition. Later you will understand how to progress and build your style. You can find some youtube videos or courses, but I suggest the SketchAR app where you can try to draw from scratch and your artistic skills... Source: almost 5 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 SketchAR 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...

Made With ARKit - Hand-picked curation of the coolest stuff made with ARKit

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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