Six months after the beta release, the CARTO team is proud to announce the full, public launch of CARTO VL, our JavaScript library for vector-based visualization and analytics, enabling faster, smarter decision making with Location Intelligence applications.
CARTO VL leverages the entire CARTO platform, with new high-performance cartographic capabilities, smart aggregations, access to CARTO’s Data Observatory, advanced spatial analytics, and more.
By enabling greater interaction with the underlying information, CARTO VL helps surface more patterns and insights. Users can quickly create filters, pop-ups, graphs, and widgets on top of their data, customizing the design of their LI application to give precise answers to business questions.
In order to make CARTO VL the most effective tool possible for building a new generation of Location Intelligence applications, it was critical for the javascript library to have powerful integrations and components. Our team worked hard to make sure that CARTO VL can be easily integrated into common workflows and development stacks.
LI applications require a geographic context, having a great basemap helps to provide that background. We think Mapbox GL is the best library for providing quality and accounting for cartographic nuance.
For that reason, we’ve integrated CARTO VL with Mapbox GL from the start so that developers can benefit from beautiful, high quality, and ready-made basemaps. Developers can also customize their design based on their specific needs.
These days, it’s not uncommon to find clients with datasets that contain millions of rows. Analyzing this data and having strong visual representation is critical. Alongside CARTO VL, we have revamped our Maps API—improving transferring speed and size—making it easier than ever to visualize, analyze, and experience Vector data. This is all a part of our goal of building the new tech stack for Location Intelligence.
CARTO VL unleashes the full potential behind WebGL. It’s a completely GPU accelerated library for map making with both styling and drawing happening in the GPU. The Result is super-fast restyling, allowing the display of a large number of animated features at 60 frames per second.
Some other styling highlights include:
A big part of making CARTO VL a core component of the Location Intelligence stack is making sure that it is integrated with the tools developers need. In addition to working with Mapbox GL, VL can be integrated with any other basemap provider. It also includes integrations with CartoColors, and offers the freedom to render tiles from anywhere, with support for many client-side rendering libraries.
Learn how CARTO VL works with integrations like CARTOframes by watching our recent webinar!
Watch Today!CARTO VL was designed with user interaction in mind. Dynamic styling and responsive cartography based on user interaction has been improved. Style can be changed per feature, and charts and widgets perform with almost zero latency. Animation is more seamless than ever, with clean fade-in and fade-out transitions. CARTO VL is also a powerful tool for temporal maps, using torque to animate points, polygons, and lines to visually represent data patterns over time.
In the development of CARTO VL, the team focused on performance as a feature, with the above mentioned fast rendering, fast filtering, and temporal animation all happening at 60+ FPS. Visualizations made using CARTO VL are automatically optimized for speed and user experience and are performant at all scales. CARTO VL can carry the load when working with big datasets, rendering +1M points of data client side.
Developers building Location Intelligence applications with CARTO VL have new ways of visualizing and understanding their data, and can make sure that their application remains performant, leading to better, more informed business decision making. This means that executives, analysts, project managers, marketers, and anyone leaning on location data can benefit from the added functionality. Check out our documentation and get started with CARTO VL today.
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