Developers need open-source tools to be able to create applications that are both visually stunning and highly functional. CARTO and the Location Intelligence community have long supported the open-source community, contributing to the development of a modern geospatial tech stack that allows all companies to take advantage of their location data.
Today we’re excited to announce a beta release of CARTO.js 4.0.
If you have used previous versions of CARTO.js, take a look at the Beta Release documentation to learn more about the basic concepts and workflow changes between the old and new library.
The teams had 3 hours to create a map or web application that showed the power of CARTO.js 4.0.
To provide you with some inspiration, here are some of the coolest things they build in less than 3 hours (click on the images to view and interact with the full map in your browser):
This stunning map displays US wildfires color-coded by category. The map paints an amazing picture of fire density across the country as well as an interesting look at how fires are classified and recorded by state.
This application beautifully maps the migratory patterns of the red-backed shrike, a bird that traverses continents each year. Providing the paths of seven individual birds and tracking their movements across every season, this map provides a template for animal conservations as the follow various species around the globe.
Place names can have great regional patterns. This map allows users to explore and find new and unexpected patterns in how places are named around the country
In this quick quiz game, which highlights one of the ways that CARTO can work as a teaching tool, players have to locate a given city using their knowledge of world geography and some hints provided on the map.
This map visualizes the intensity of a particular bike ride, using a couple of new widgets to paint the picture. The pie chart and line graph can give a prospective rider a sense of a trip’s difficulty, and this data can be aggregated to create an index, like the suffer score for each section of the ride as pictured.
See where college football players hometowns are for each team in the FBS (Bowl Division). This map, which also pulls in info on each specific player can provide an insightful look into the recruiting efforts of your favorite team!
Is winter coming at the speed of light? Is Littlefinger using teleportation? Are ravens faster than dragons? In order to answer this questions, our team build the GoT Distance Calculator with CARTO.js and our Game of Thrones Basemap. Discover which character has traveled the most depending on the season.
This map has been designed to promote local tourism. With several layers highlighting accommodations, restaurants, and bars, this map can point tourists visiting the town of Moralzarzal in in the right direction. The Map also provides street-level imagery from Mapillary of a local scenic walkway.
This map features the use of the lasso function to draw shapes and look specifically at the data points within a custom geography.
Do you like to move your body to the rhythm of earthquakes but you think your hobby can be too dangerous? Don’t worry, in this map you can find all the US counties that have at least one neighbour in which there have been earthquakes lately. So you can choose a safe place to live, close to your favorite hobby.
This time series map creatively presents the international instability present in the half century following the second world war. By highlighting the shifting border lines of nations, along with changing country names, the map paints the picture of this tumultuous era.
This fun experiment explodes with gifs from Giphy that share names with populated places around the world as you hover over them.
This map combines a chart library, HighCharts, with CARTO.js 4.0 to create an interactive widget that maps and visualizes crimes (By type) in and around London.
Another quick geography game created using CARTO.js that asks you for a country name. If you click the correct one, you win! After 3 failed attempts, it shows you the correct answer.
This beautiful map shows the pollution levels in several US cities across the last 16 years. A widget displays a chart with distinct pollution during the selected year, giving the user the ability to break down their view based on four different types of air pollution.