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  1. Stackups
  2. Utilities
  3. API Tools
  4. Mapping Apis
  5. Mapbox vs StellaSpark Nexus

Mapbox vs StellaSpark Nexus

OverviewComparisonAlternatives

Overview

Mapbox
Mapbox
Stacks803
Followers939
Votes113
GitHub Stars1.9K
Forks384
StellaSpark Nexus
StellaSpark Nexus
Stacks0
Followers1
Votes1

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Detailed Comparison

Mapbox
Mapbox
StellaSpark Nexus
StellaSpark Nexus

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

Integrate existing data sources and take data-driven decisions about the natural and built environment. Nexus is an online platform that provides governments, NGOs, utilities and consultants with a digital twin using real-time connections with public and private data sources. Calculation models can easily be connected to the platform to enable continuous analysis of the integrated data. With Nexus, organizations can detect and monitor changes in the physical environment, perform operational forecasting, share data with partner organizations, evaluate spatial policies and schedule data-driven maintenance.

Develop mobile and web applications with Mapbox.js, our open-source JavaScript library.;Build native applications on iOS with the Mapbox iOS SDK or on iOS and OS X with MBXMapKit.;Build native applications for Android. Use Mapbox, OpenStreetMap, and other tile sources in your app, as well as overlays like GeoJSON data and interactive tooltips.;SSL maps
Integrate geospatial data and timeseries, 3D visualization, Real-time data connections, Charts, Run physics-based simulation models
Statistics
GitHub Stars
1.9K
GitHub Stars
-
GitHub Forks
384
GitHub Forks
-
Stacks
803
Stacks
0
Followers
939
Followers
1
Votes
113
Votes
1
Pros & Cons
Pros
  • 28
    Best mapping service outside of Google Maps
  • 22
    OpenStreetMap
  • 15
    Beautifully vectorable
  • 11
    Fluid user experience
  • 8
    Extensible
No community feedback yet

What are some alternatives to Mapbox, StellaSpark Nexus?

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.

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Leaflet

Leaflet

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.

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.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

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.

Google Cloud Dataflow

Google Cloud Dataflow

Google Cloud Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.

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