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AVUITY VS deck.gl

Compare AVUITY VS deck.gl and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

AVUITY logo AVUITY

From occupancy sensors and room booking to space measurement and customized reporting, AVUITY helps you understand your space.

deck.gl logo deck.gl

Large-scale WebGL-powered data visualization
  • AVUITY Landing page
    Landing page //
    2023-08-26
  • deck.gl Landing page
    Landing page //
    2023-10-09

AVUITY features and specs

  • Comprehensive Solutions
    AVUITY offers a wide range of workplace and space utilization solutions, enabling businesses to optimize space and improve operational efficiency.
  • Real-time Data Analytics
    The platform provides real-time data analytics, allowing organizations to make informed decisions based on accurate insights into space usage.
  • Customizable Features
    AVUITY's solutions are customizable to meet the specific needs and requirements of different organizations, offering flexibility in implementation.
  • Improved Employee Experience
    By optimizing workspace utilization, AVUITY enhances the overall employee experience by ensuring efficient use of space and resources.

Possible disadvantages of AVUITY

  • Cost
    Implementing AVUITY's solutions can be costly for some businesses, particularly smaller organizations with limited budgets.
  • Complex Integration
    Integrating AVUITY's systems with existing infrastructure can be complex and may require significant time and resources.
  • Privacy Concerns
    The use of real-time data analytics and monitoring can raise privacy concerns among employees regarding data collection and usage.
  • Dependency on Technology
    Businesses may become too reliant on AVUITY's technology, which can be a risk if there are technical issues or service disruptions.

deck.gl features and specs

  • High Performance
    deck.gl offers high-performance rendering of large-scale datasets by leveraging WebGL, enabling smooth interaction and visualization of complex data.
  • Rich Layer Library
    It provides a comprehensive set of pre-built layers for different types of data visualization, such as scatterplots, line charts, hexagon layers, and more, allowing quick setup for common visualization needs.
  • Interactivity
    deck.gl supports advanced interactivity features, enabling users to build highly interactive data visualization applications with features like tooltips, brushed selection, and filtering.
  • Extensibility
    Developers can extend deck.gl by creating custom layers and shaders, offering great flexibility to create unique visualizations tailored to specific data and application needs.
  • Integration with Other Frameworks
    deck.gl is designed to integrate easily with frameworks like React, enabling seamless use in existing web applications and component libraries.

Possible disadvantages of deck.gl

  • Learning Curve
    Given its advanced capabilities and the need to understand WebGL, the library can have a steep learning curve for developers new to 3D graphics or large-scale data visualization.
  • Complexity
    The flexibility and power of deck.gl come with complexity, which might be overwhelming for simple use cases that don't require high customization or performance.
  • Browser Compatibility
    Since deck.gl relies on WebGL, its performance and capability may vary across different web browsers, potentially causing issues on less optimized systems or older browsers.
  • Dependence on GPU
    deck.gl's reliance on GPU acceleration means that its performance is tied to the user's hardware, which might limit usability on lower-end devices that have weaker graphical processing power.
  • Limited 2D Support
    While deck.gl excels at 3D visualizations, its support for 2D graphs and charts is not as extensive, which might require additional libraries for comprehensive 2D visualization needs.

AVUITY videos

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deck.gl videos

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Animated Map Visualizations with Deck.gl

More videos:

  • Review - code.talks 2019 - Visualizing Large Datasets with JavaScript Using Deck.gl
  • Review - Large Scale Data Visualisation with Deck.gl and Shiny

Category Popularity

0-100% (relative to AVUITY and deck.gl)

AVUITY

deck.gl

Sensors
100 100%
Sensors
0% 0
Analytics
0 0%
Analytics
100% 100
Internet Of Things Services
100 100%
Internet Of Things Services
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

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Social recommendations and mentions

Based on our record, deck.gl seems to be more popular. It has been mentiond 20 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.

AVUITY mentions (0)

We have not tracked any mentions of AVUITY yet. Tracking of AVUITY recommendations started around Aug 2022.

deck.gl mentions (20)

  • Deploying my Astro + Turso + Drizzle project to Cloudflare Pages
    I wanted to build a project which utilized map in some way using deck.gl. So I thought what better way than to visualize the users who are visiting the project itself. I knew I would need visitor's location (rough/accurate it did not matter to me that much) and I was aware that Cloudflare allows you to enable location headers from which I could extract the data which I wanted. - Source: dev.to / almost 2 years ago
  • deck.gl for Google Maps API
    Per the deck.gl website, deck.gl is a GPU-powered framework for visual exploratory data analysis of large datasets. It makes use of WebGL to render large datasets quickly and efficiently. deck.gl is a great tool for visualizing large datasets in a performant way. It is (mostly) agnostic to the mapping library you use, so it can be used with Google Maps API. - Source: dev.to / over 2 years ago
  • mqtt based dashboard for smart city sensor array
    You will need a decent front end framework, I suggest using https://deck.gl/ to maybe start off . You can also opt develop something yourself using webgl framework but will take more time. It depends on your experience and budget. Source: over 3 years ago
  • Where Do Stolen Bikes Go?
    The line visuals at the bottom are not using Mapbox. Rather they're using the open source Kepler.gl [0], (a user-friendly wrapping of the deck.gl library [1]). These can use Mapbox for the underlying basemap, but the data rendering is done separately. (This is easy to tell if you look at the page source. The map at the bottom is an embed from a static HTML kepler.gl map [2]) [0]: https://kepler.gl/ [1]:... - Source: Hacker News / over 3 years ago
  • Looking for a good Geocoder for Mapbox! Using Deck.gl Library with react framework
    The title speaks for itself lol. Currently, I am building an interactive map using mapbox and deck.gl. I needed to use deck.gl because its the only react friendly library. Lately, I have had a hard time finding a geocoder to use with deck.gl. If anybody has any suggestions please let me know! Source: over 3 years ago
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What are some alternatives?

When comparing AVUITY and deck.gl, you can also consider the following products

Density - A modern infrastructure for anonymously counting people

Vizzu - Vizzu lets you use animated charts to share insights in complex data sets as self-explanatory stories.

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