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Location Intelligence & Data Visualization tool

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Top Related Projects

Interactive, thoroughly customizable maps in the browser, powered by vector tiles and WebGL

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πŸƒ JavaScript library for mobile-friendly interactive maps πŸ‡ΊπŸ‡¦

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πŸ†” The easy-to-use OpenStreetMap editor in JavaScript.

OpenLayers

Vector and raster maps with GL styles. Server side rendering by MapLibre GL Native. Map tile server for MapLibre GL JS, Android, iOS, Leaflet, OpenLayers, GIS via WMTS, etc.

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Quick Overview

CartoDB (now known as CARTO) is an open-source geospatial analysis and visualization platform. It allows users to create interactive maps, perform spatial data analysis, and build location-based applications. The platform combines powerful backend technologies with a user-friendly interface for managing and visualizing geospatial data.

Pros

  • Comprehensive geospatial analysis tools and visualization capabilities
  • User-friendly interface for both developers and non-technical users
  • Supports a wide range of data formats and sources
  • Extensive API and SDK support for custom integrations

Cons

  • Learning curve can be steep for advanced features
  • Some advanced functionalities may require paid plans
  • Performance can be affected with large datasets
  • Limited customization options in the free version

Code Examples

  1. Creating a simple map using CARTO.js:
const map = L.map('map').setView([40.7128, -74.0060], 13);

carto.setDefaultAuth({
    username: 'your_username',
    apiKey: 'your_api_key'
});

const source = new carto.source.Dataset('your_dataset');
const style = new carto.style.CartoCSS('#layer { marker-width: 7; marker-fill: #EE4D5A; }');
const layer = new carto.layer.Layer(source, style);

client.addLayer(layer);
client.getLeafletLayer().addTo(map);
  1. Performing a SQL query:
const sqlClient = new carto.sql.SQL({
    username: 'your_username',
    apiKey: 'your_api_key'
});

sqlClient.query(`
    SELECT * FROM your_table
    WHERE population > 1000000
`)
.then(data => {
    console.log(data);
})
.catch(error => {
    console.error('Error:', error);
});
  1. Creating a choropleth map:
const viz = new carto.Viz(`
    color: ramp($population, [#f3e79b, #fac484, #f8a07e, #eb7f86, #ce6693, #a059a0, #5c53a5])
    strokeWidth: 0
`);

const layer = new carto.Layer('layer', source, viz);

layer.addTo(map);

Getting Started

  1. Sign up for a CARTO account at https://carto.com/
  2. Install CARTO.js via npm or include it in your HTML:
    <script src="https://libs.cartocdn.com/carto.js/v4.2.0/carto.min.js"></script>
    
  3. Initialize CARTO in your JavaScript:
    carto.setDefaultAuth({
        username: 'your_username',
        apiKey: 'your_api_key'
    });
    
  4. Create a map and add CARTO layers to it using the examples provided above.

Competitor Comparisons

Interactive, thoroughly customizable maps in the browser, powered by vector tiles and WebGL

Pros of mapbox-gl-js

  • More active development with frequent updates and releases
  • Better performance for rendering large datasets and complex visualizations
  • Extensive documentation and examples for developers

Cons of mapbox-gl-js

  • Steeper learning curve for beginners
  • Less integrated with data management and analysis tools
  • Requires more custom code for advanced features

Code Comparison

mapbox-gl-js:

mapboxgl.accessToken = 'your-access-token';
const map = new mapboxgl.Map({
    container: 'map',
    style: 'mapbox://styles/mapbox/streets-v11',
    center: [-74.5, 40],
    zoom: 9
});

cartodb:

const map = L.map('map').setView([40, -74.5], 9);
L.tileLayer('https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}.png', {
    attribution: 'Β© OpenStreetMap contributors'
}).addTo(map);

Both repositories offer powerful mapping solutions, but they cater to different needs. mapbox-gl-js excels in performance and customization, making it ideal for complex, data-heavy applications. cartodb, on the other hand, provides a more user-friendly experience with its integrated platform for data management and analysis. The choice between the two depends on the specific requirements of your project and your team's expertise.

41,217

πŸƒ JavaScript library for mobile-friendly interactive maps πŸ‡ΊπŸ‡¦

Pros of Leaflet

  • Lightweight and fast, with a smaller footprint than CartoDB
  • More flexible and customizable for developers
  • Extensive plugin ecosystem for added functionality

Cons of Leaflet

  • Requires more coding knowledge to implement advanced features
  • Less out-of-the-box data visualization capabilities compared to CartoDB

Code Comparison

Leaflet:

var map = L.map('map').setView([51.505, -0.09], 13);
L.tileLayer('https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', {
    attribution: 'Β© OpenStreetMap contributors'
}).addTo(map);

CartoDB:

cartodb.createVis('map', 'https://account.cartodb.com/api/v2/viz/vizid/viz.json', {
    shareable: true,
    title: true,
    description: true,
    search: true,
    tiles_loader: true,
    center_lat: 0,
    center_lon: 0,
    zoom: 2
});

Leaflet focuses on providing a simple API for map creation, while CartoDB offers a more comprehensive solution with built-in data visualization tools. Leaflet's code is more concise and allows for greater customization, whereas CartoDB's approach simplifies the process of creating interactive maps with data layers.

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πŸ†” The easy-to-use OpenStreetMap editor in JavaScript.

Pros of iD

  • Open-source and community-driven, allowing for extensive customization and contributions
  • Specifically designed for OpenStreetMap editing, providing a tailored experience for OSM contributors
  • Lightweight and browser-based, requiring no installation

Cons of iD

  • Limited to OpenStreetMap data, lacking support for other data sources
  • Less advanced data analysis and visualization capabilities compared to CartoDB
  • Simpler interface, which may not be suitable for complex GIS tasks

Code Comparison

iD (JavaScript):

iD.Map = function(context) {
    var map = L.map(document.createElement('div'), {
        zoomControl: false,
        minZoom: 2,
        maxZoom: 20
    });
    // ... more code ...
};

CartoDB (Ruby on Rails):

class Map < Sequel::Model
  include Carto::MapBoundaries
  include Carto::MapValidations

  one_to_many :layers
  many_to_one :user
  # ... more code ...
end

Both projects use different technologies and approaches. iD focuses on client-side JavaScript for map editing, while CartoDB utilizes Ruby on Rails for server-side processing and database management. iD's code is more specific to map interaction, whereas CartoDB's code shows a broader data management approach.

OpenLayers

Pros of OpenLayers

  • More flexible and customizable for advanced mapping needs
  • Larger and more active community, with frequent updates
  • Better support for various data formats and projections

Cons of OpenLayers

  • Steeper learning curve for beginners
  • Requires more code to set up basic maps
  • Less out-of-the-box styling options compared to CartoDB

Code Comparison

OpenLayers:

import Map from 'ol/Map';
import View from 'ol/View';
import TileLayer from 'ol/layer/Tile';
import OSM from 'ol/source/OSM';

const map = new Map({
  target: 'map',
  layers: [new TileLayer({ source: new OSM() })],
  view: new View({ center: [0, 0], zoom: 2 })
});

CartoDB:

const map = L.map('map').setView([0, 0], 2);
L.tileLayer('https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}.png', {
  attribution: 'Β© OpenStreetMap contributors'
}).addTo(map);

OpenLayers provides more granular control over map creation, while CartoDB (which uses Leaflet) offers a simpler setup process. OpenLayers requires importing specific modules, whereas CartoDB's approach is more straightforward for basic map initialization.

Vector and raster maps with GL styles. Server side rendering by MapLibre GL Native. Map tile server for MapLibre GL JS, Android, iOS, Leaflet, OpenLayers, GIS via WMTS, etc.

Pros of tileserver-gl

  • Lightweight and focused on serving vector tiles
  • Easy to set up and deploy
  • Supports multiple tile formats (vector, raster, and hybrid)

Cons of tileserver-gl

  • Limited data management and analysis capabilities
  • Less extensive styling options compared to CartoDB
  • Smaller community and ecosystem

Code Comparison

tileserver-gl configuration:

{
  "options": {
    "paths": {
      "root": "/data",
      "fonts": "fonts",
      "styles": "styles",
      "mbtiles": ""
    }
  },
  "styles": {
    "basic": {
      "style": "basic.json",
      "tilejson": {
        "bounds": [-180, -85.0511, 180, 85.0511]
      }
    }
  }
}

CartoDB SQL API usage:

SELECT * FROM my_table
WHERE ST_Intersects(
  the_geom,
  ST_MakeEnvelope(-73.9876, 40.7661, -73.9397, 40.8002, 4326)
)

tileserver-gl is ideal for projects requiring efficient vector tile serving with minimal setup, while CartoDB offers a more comprehensive geospatial platform with advanced data management and analysis capabilities. The choice between them depends on the specific needs of your project and the level of functionality required.

10,476

QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)

Pros of QGIS

  • Open-source desktop application with extensive GIS functionality
  • Large community and plugin ecosystem for extended features
  • Supports a wide range of data formats and spatial operations

Cons of QGIS

  • Steeper learning curve for beginners
  • Requires local installation and setup
  • Less seamless for web-based collaboration and sharing

Code Comparison

QGIS (Python):

layer = QgsVectorLayer("path/to/shapefile.shp", "layer_name", "ogr")
if not layer.isValid():
    print("Layer failed to load!")
QgsProject.instance().addMapLayer(layer)

CartoDB (SQL):

CREATE TABLE my_table (
  the_geom geometry,
  name text,
  description text
);
INSERT INTO my_table (the_geom, name, description)
VALUES (ST_SetSRID(ST_Point(-74.0059, 40.7128), 4326), 'New York', 'The Big Apple');

QGIS focuses on desktop-based GIS operations using Python, while CartoDB emphasizes web-based mapping and data management through SQL queries. QGIS provides more comprehensive GIS tools but requires local setup, whereas CartoDB offers easier web integration and sharing capabilities at the cost of some advanced GIS functionalities.

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README

[DEPRECATED]

Hey! This content applies only to previous CARTO products.

Please check if it's relevant to your use case. On October 2021 we released the current version of our platform. You can learn more and read the latest documentation at docs.carto.com

What is CARTO?

Code Climate Build Status

CARTO is an open, powerful, and intuitive platform for discovering and predicting the key insights underlying the location data in our world.

Empower organizations to optimize operational performance, strategic investments, and everyday decisions with CARTO EngineҀ”our embeddable platform for web and mobile appsҀ”and the new CARTO Builder, a drag and drop analysis tool.

It was built to make it easier for people to tell their stories by providing them with flexible and intuitive ways to create maps and design geospatial applications. CARTO can be installed on your own server and we also offer a hosted service at carto.com.

If you would like to see some live demos, check out our videos on Vimeo. We hope you like it!

Map view Data View

What can I do with CARTO?

With CARTO, you can upload your geospatial data (Shapefiles, GeoJSON, etc) using a web form and then make it public or private.

After it is uploaded, you can visualize it in a dataset or on a map, search it using SQL, and apply map styles using CartoCSS. You can even access it using the CARTO APIs, or export it to a file.

In other words, with CARTO you can make awesome maps and build powerful geospatial applications! Definitely check out the CARTO Platform for interactive examples and code.

Installing

Read the installation guide in CARTO developers documentation

How do I upgrade CARTO?

See UPGRADE for instructions about upgrading CARTO.

For upgrade of Windshaft-CartoDB and CartoDB-SQL-API see the relative documentation.

Developing & Contributing to CARTO

See our contributing doc for how you can improve CARTO, but you will need to sign a Contributor License Agreement (CLA) before making a submission, learn more here.

Testing

Check the testing doc section.

Requirements

CARTO works in any modern browser, but if you want more info:

ChromeFirefoxIEOperaSafari
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