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  1. Stackups
  2. Utilities
  3. API Tools
  4. Mapping Apis
  5. CARTO vs Leaflet

CARTO vs Leaflet

OverviewDecisionsComparisonAlternatives

Overview

CARTO
CARTO
Stacks40
Followers78
Votes3
GitHub Stars2.8K
Forks658
Leaflet
Leaflet
Stacks1.5K
Followers1.1K
Votes112
GitHub Stars43.9K
Forks6.0K

CARTO vs Leaflet: What are the differences?

<Write Introduction here>
  1. Pricing Model: CARTO offers a variety of pricing plans based on usage and features, while Leaflet is an open-source library with no upfront costs or subscription fees.

  2. Data Visualization Options: CARTO provides advanced data visualization tools and map styling options, including heatmaps and clustering, whereas Leaflet requires plugins for more advanced visualization features.

  3. Hosting and Scalability: CARTO offers cloud-based hosting and automatic scalability, making it a suitable choice for large-scale applications, while Leaflet relies on third-party hosting services and manual scalability management.

  4. API Flexibility: CARTO has a RESTful API that allows for customization and integration with other systems, while Leaflet's API is more limited in functionality and extensibility.

  5. Data Analysis Capabilities: CARTO has built-in spatial analysis capabilities like routing and geocoding, which can be accessed through its platform, whereas Leaflet lacks these data analysis features and requires integration with external services for such functionalities.

  6. Ease of Use: CARTO provides a user-friendly interface with drag-and-drop tools for creating maps and visualizations, while Leaflet requires more technical expertise for setting up and customizing maps due to its programmatic nature.

In Summary, CARTO offers a robust, feature-rich platform with advanced data visualization and analysis capabilities, while Leaflet is a more cost-effective and customizable option for those with programming skills seeking flexibility in map creation.

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Advice on CARTO, Leaflet

kumail09
kumail09

Jan 26, 2022

Needs adviceonDjangoDjango

I want to create a highly interactive frontend that will be showing network data (large volume and size linestring dataset) The application will have a Django Backend. Which of these would be the best fit for mapping the point and line data (over 60 MB) which is very intense for a web application so I may consider using tiling. I also want to edit the line data and save it to database

2.9k views2.9k
Comments

Detailed Comparison

CARTO
CARTO
Leaflet
Leaflet

The CARTO platform empowers everyone, from business analysts to data scientists, to turn location data into business outcomes. We accelerate innovation, power new use cases and disrupt business models through Location Intelligence.

Leaflet is an open source JavaScript library for mobile-friendly interactive maps. It is developed by Vladimir Agafonkin of MapBox with a team of dedicated contributors. Weighing just about 30 KB of gzipped JS code, it has all the features most developers ever need for online maps.

Drag and drop data import allows you to create visualizations in seconds;Make sense of your location data and power your business.;Create beautiful visualizations with our easy to use design and styling tools.;Run spatial analysis with no coding.;Create dashboards to explore and filter your data.;Share your visualizations securely with your team or publish them on the web.;Integrate maps and geospatial analyses directly into your websites.;Create Mobile applications with CARTO Mobile SDK.;
Tile layers;Drag panning with inertia;Scroll wheel zoom;Multi-touch zoom;Zoom animation;Hardware acceleration on iOS;Smart polyline/polygon rendering
Statistics
GitHub Stars
2.8K
GitHub Stars
43.9K
GitHub Forks
658
GitHub Forks
6.0K
Stacks
40
Stacks
1.5K
Followers
78
Followers
1.1K
Votes
3
Votes
112
Pros & Cons
Pros
  • 1
    Comprehensive platform
  • 1
    Great customer service
  • 1
    Crisp UI
Pros
  • 34
    Light weight
  • 29
    Free
  • 12
    Evolutive via plugins
  • 11
    OpenStreetMap
  • 10
    Strong community

What are some alternatives to CARTO, Leaflet?

Google Maps

Google Maps

Create rich applications and stunning visualisations of your data, leveraging the comprehensiveness, accuracy, and usability of Google Maps and a modern web platform that scales as you grow.

Mapbox

Mapbox

We make it possible to pin travel spots on Pinterest, find restaurants on Foursquare, and visualize data on GitHub.

OpenStreetMap

OpenStreetMap

OpenStreetMap is built by a community of mappers that contribute and maintain data about roads, trails, cafés, railway stations, and much more, all over the world.

OpenLayers

OpenLayers

An opensource javascript library to load, display and render maps from multiple sources on web pages.

ArcGIS

ArcGIS

It is a geographic information system for working with maps and geographic information. It is used for creating and using maps, compiling geographic data, analyzing mapped information, sharing and much more.

CSV2GEO

CSV2GEO

It provides live conversion of batch addresses into geographic coordinates (address to lat long) or turn coordinates into well formatted address. It creates and publishes interactive maps.

MapTiler

MapTiler

It is a software for map tile rendering. It has been designed for producing seamless maps and aerial photo layers covering whole countries. The rendering is fast and efficient, and it can fully utilize multiple CPUs to 100%.

MAPS.ME

MAPS.ME

MAPS.ME is an open source cross-platform offline maps application, built on top of crowd-sourced OpenStreetMap data. It was publicly released for iOS and Android.

LocationIQ

LocationIQ

Free and Fast Geocoding Service

Stadia Maps

Stadia Maps

We enable devs to contextualize their data on a map and build complicated apps involving routing, time zones, and more with our APIs. We hate billing surprises as much as you, and if you send us an email, you'll get a real human reply.

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