Software Alternatives, Accelerators & Startups

Plotly VS Snap Art

Compare Plotly VS Snap Art and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Plotly logo Plotly

Low-Code Data Apps

Snap Art logo Snap Art

Snap's augmented reality platform
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Snap Art Landing page
    Landing page //
    2023-10-07

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.

Snap Art features and specs

  • Intuitive Interface
    Lens Studio offers an easy-to-use interface with drag-and-drop functionalities, making it accessible for both beginners and experienced designers.
  • Extensive Asset Library
    Users can access a wide range of pre-made assets, textures, and 3D models that streamline the creation process.
  • Augmented Reality Capabilities
    The platform is specifically designed for creating interactive AR experiences, allowing for the creation of highly engaging and immersive content.
  • Community and Support
    There is an active community and ample tutorials, documentation, and customer support available, which can aid in troubleshooting and skill development.
  • Cross-Platform Use
    Snap Art content can be used on various platforms, including Snapchat, bringing more visibility and engagement to the creators’ work.

Possible disadvantages of Snap Art

  • Learning Curve
    Despite its intuitive design, there is still a learning curve associated with mastering all of the platform's features and capabilities.
  • Resource Intensive
    Running Lens Studio can be resource-intensive, requiring a robust hardware setup for optimal performance.
  • Limited Export Options
    Content created with Lens Studio is primarily designed for use within the Snapchat ecosystem, limiting its direct usability on other platforms.
  • Competitive Market
    Due to the popularity of AR, there is significant competition, making it challenging for new creators to stand out and gain traction.
  • Dependency on Snapchat
    Creators are significantly reliant on Snapchat's platform, which means that any changes to Snapchat's policies or algorithms can directly impact their content's visibility and engagement.

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.

Analysis of Snap Art

Overall verdict

  • Snap Art is highly regarded for its intuitive interface and robust feature set, making it a great choice for those interested in AR development, particularly on Snapchat. While there may be a learning curve for those new to AR, the platform's extensive documentation and support from a large user community make it a strong contender in the AR space.

Why this product is good

  • Snap Art (lensstudio.snapchat.com) is a versatile and user-friendly tool for creating augmented reality (AR) experiences. It allows artists and developers to design and implement interactive and immersive lenses with ease. The platform offers a wide range of features, including 3D modeling, animations, and scripting tools, making it accessible for both beginners and advanced users. The community and resources available provide support and inspiration for new creations.

Recommended for

    Snap Art is recommended for digital artists, AR enthusiasts, developers, and marketers who are interested in creating engaging AR experiences. It's also suitable for individuals or brands looking to leverage Snapchat as a platform for reaching younger audiences through innovative and interactive content.

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

Snap Art videos

Snap Art review

More videos:

  • Tutorial - Getting Started with Snap Art 4 - How to use Snap Art
  • Review - Introduction to Snap Art 4 - What is Snap Art?

Category Popularity

0-100% (relative to Plotly and Snap Art)
Data Visualization
100 100%
0% 0
Augmented Reality
0 0%
100% 100
Charting Libraries
100 100%
0% 0
iPhone
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 Plotly and Snap Art

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.

Snap Art Reviews

We have no reviews of Snap Art yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Snap Art. While we know about 34 links to Plotly, we've tracked only 3 mentions of Snap Art. 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.

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

Snap Art mentions (3)

  • Face tracking and projection
    You can do your own mask animation using Lens Studio. Try it here. Source: almost 5 years ago
  • How to distribute an AR app?
    The Snapchat version is basically the same, but it's called Lens Studio. Source: almost 5 years ago
  • New Snap Spectacles Feature Augmented Reality Display
    Oh gotcha. Right now it's a developer platform. It runs any JS code + graphics that you write in Lens Studio. https://lensstudio.snapchat.com/. - Source: Hacker News / over 5 years ago

What are some alternatives?

When comparing Plotly and Snap Art, you can also consider the following products

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.

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

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.

Google ARCore - Google Augmented Reality SDK