Software Alternatives, Accelerators & Startups

ZapWorks VS Plotly

Compare ZapWorks VS Plotly and see what are their differences

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ZapWorks logo ZapWorks

ZapWorks is the complete augmented reality toolkit for agencies and businesses who want to push the boundaries of creativity and storytelling.

Plotly logo Plotly

Low-Code Data Apps
  • ZapWorks Landing page
    Landing page //
    2023-07-27
  • Plotly Landing page
    Landing page //
    2023-07-31

ZapWorks features and specs

  • Comprehensive AR Tools
    ZapWorks offers a wide range of tools for creating augmented reality (AR) experiences, including support for 3D models, 360-degree panoramas, and animation sequences, allowing creators to produce intricate and detailed AR experiences.
  • WebAR Support
    ZapWorks provides WebAR functionality, enabling users to experience AR content directly through web browsers without needing a dedicated app, which increases accessibility and user reach.
  • Ease of Use
    With an intuitive interface and a variety of templates, ZapWorks makes it easier for newcomers to AR to start creating engaging content, reducing the learning curve typically associated with AR design.
  • Multiplatform Outputs
    ZapWorks outputs can be viewed across multiple platforms and devices, increasing the versatility and applicability of the AR content created within the platform.
  • Active Community and Support
    ZapWorks boasts a robust support system including tutorials, guides, and a community forum, which provides users with extensive resources for troubleshooting and learning advanced techniques.

Possible disadvantages of ZapWorks

  • Pricing Model
    The pricing model for ZapWorks can be considered high for individual users or small businesses, which may restrict access to all features, especially for those with limited budgets.
  • Complexity in Advanced Features
    While ZapWorks is designed to be user-friendly, implementing more complex AR features may require a steeper learning curve and technical understanding, which can be a barrier for non-technical users.
  • Performance Limitations
    High-quality AR experiences can be resource-intensive, and some users might experience performance issues on less powerful devices when using high-end features.
  • Limited Offline Functionality
    ZapWorks primarily relies on cloud-based services, meaning that offline functionality is limited, which can be inconvenient for users looking to work without a constant internet connection.
  • Customization Constraints
    While adequate for most standard AR applications, some developers may find the platform's customization options limited when trying to implement highly specialized or non-standard features.

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.

ZapWorks videos

ZapWorks Space Competition | Creative Review

More videos:

  • Review - ZapWorks 'Ancient History' Competition | Creative Review
  • Review - ZapWorks AR Portal Competition | Creative Review

Plotly videos

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 ZapWorks and Plotly)
Augmented Reality
100 100%
0% 0
Data Visualization
0 0%
100% 100
Development
100 100%
0% 0
Charting Libraries
0 0%
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 ZapWorks and Plotly

ZapWorks 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.
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...
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.

Social recommendations and mentions

Based on our record, Plotly should be more popular than ZapWorks. 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.

ZapWorks mentions (4)

  • End to end distribution of AR files.
    Not affiliated, engineers I work with deploy here: https://zap.works/ for webAR. You scan a QR code and animation plays - say on pointing your phone camera at a poster on the wall. Source: almost 4 years ago
  • Learning some AR
    I've created a few branded AR experiences for clients and I've mostly used a dedicated app like ZappWorks. Source: over 4 years ago
  • Best AR glasses?
    If you are looking for something more accessible, I haven't tested it yet, but zap.works offers this: Https://www.zappar.com/zapbox/. Source: almost 5 years ago
  • AR & AI Technologies For Virtual Fitting Room Development
    Amidst the COVID-19 pandemic, ZapWorks launched the AR-based educational app aimed to instruct users on how to wear surgical masks properly. Technically, this app is also based on a 3D facial landmark detection method. Like the glasses try-on app, this method allows receiving information about facial features and further mask rendering. - Source: dev.to / over 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 ZapWorks and Plotly, you can also consider the following products

Google ARCore - Google Augmented Reality SDK

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...

AR SDK - Augmented Reality SDK

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.