What is Mapbox and what are its top alternatives?
Mapbox is a popular platform for custom online maps that offers flexible APIs, SDKs, and data visualization tools. Its key features include customizable map styles, geocoding and routing services, and real-time location data. However, Mapbox can be expensive for large-scale use and may have limitations in terms of certain advanced mapping functionalities. 1. Leaflet: Leaflet is a lightweight JavaScript library for interactive maps that works well with both desktop and mobile platforms. Key features include easy integration, custom map designs, and support for various plugins. Pros: Simple to use, customizable, open-source. Cons: Limited built-in functionality compared to Mapbox. 2. OpenLayers: OpenLayers is a high-performance library for creating interactive maps on the web. It supports a wide range of mapping sources and formats, with features like layer switching, styling, and editing capabilities. Pros: Great for complex mapping needs, open-source, powerful. Cons: Steeper learning curve, can be challenging for beginners. 3. Google Maps Platform: Google Maps offers a suite of APIs for mapping, geocoding, routing, and location-based services. Its features include detailed map data, Street View imagery, and integration with other Google services. Pros: Extensive documentation, smooth integration with Google services. Cons: Limited free usage, dependency on Google ecosystem. 4. HERE Technologies: HERE Technologies provides a variety of mapping and location-based services for businesses. Key features include accurate geocoding, routing, and fleet management tools. Pros: Precise location data, reliable routing services. Cons: Costly for large-scale use, complex pricing structure. 5. CARTO: CARTO is a cloud-based platform for mapping, analysis, and data visualization. It offers tools for creating interactive maps, spatial analysis, and sharing geospatial insights. Pros: User-friendly interface, powerful geospatial analysis capabilities. Cons: Pricing can be a barrier for small businesses. 6. MapTiler: MapTiler is a mapping solution that focuses on creating custom maps from various data sources. It supports vector and raster tiles, WebGL rendering, and advanced styling options. Pros: Fast map rendering, versatile styling capabilities. Cons: May require technical expertise for customization. 7. Thunderforest: Thunderforest provides a range of map styles and APIs for creating custom maps. It offers detailed map designs, geocoding services, and tile hosting. Pros: Beautiful map designs, flexible pricing options. Cons: Limited free tier, fewer features compared to Mapbox. 8. TomTom Maps API: TomTom offers mapping and navigation services for businesses, with features like routing, traffic information, and location insights. Pros: Accurate map data, reliable navigation services. Cons: Pricing can be high for extensive usage, limited customization options. 9. esri ArcGIS: esri ArcGIS is a comprehensive mapping platform with tools for spatial analysis, data visualization, and collaboration. It is widely used in the GIS industry for its advanced mapping capabilities. Pros: Robust geospatial analysis tools, extensive data support. Cons: Complex interface, costly for large organizations. 10. Stamen Maps: Stamen Maps offers a collection of unique map styles for different use cases, such as terrain, watercolor, and toner maps. It provides custom map designs and a creative approach to mapping visuals. Pros: Creative map styles, open-source design. Cons: Limited customization options, may not suit all business needs.
Top Alternatives to Mapbox
- 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. ...
- 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. ...
- CARTO
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
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. ...
- 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. ...
- OpenLayers
An opensource javascript library to load, display and render maps from multiple sources on web pages. ...
- Postman
It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide. ...
- Postman
It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide. ...
Mapbox alternatives & related posts
- Free253
- Address input through maps api136
- Sharable Directions82
- Google Earth47
- Unique46
- Custom maps designing3
- Google Attributions and logo4
- Only map allowed alongside google place autocomplete1
related Google Maps posts
Google Analytics is a great tool to analyze your traffic. To debug our software and ask questions, we love to use Postman and Stack Overflow. Google Drive helps our team to share documents. We're able to build our great products through the APIs by Google Maps, CloudFlare, Stripe, PayPal, Twilio, Let's Encrypt, and TensorFlow.
A huge component of our product relies on gathering public data about locations of interest. Google Places API gives us that ability in the most efficient way. Since we are primarily going to be using as google data as a source of information for our MVP, we might as well start integrating the Google Places API in our system. We have worked with Google Maps in the past and we might take some inspiration from our previous projects onto this one.
- Simple23
- Free17
- Open-Source9
- Open-Data8
- React/ RNative integration1
related OpenStreetMap posts
We need some advice about the map services provider. We are a mobility app that just launched 5 months ago in Tunisia offering P2P carpooling. We are currently using Google Maps API for maps (Places API, Geocoding API, Directions API & Distance Matrix API). Thus, we received expensive bills from Google Cloud following the number of requests we are using. We are looking forward to reduce the number of requests in general because we can't afford these large bills at this stage, knowing that they are going to increase proportionally to the active users of the app. We tried to optimize multiple times but it isn't enough. We are searching for optimization advice or ideas on how we use the APIs, or other map providers (like OpenStreetMap or similar) that offers free or cheaper options than Google Maps, without lacking quality of information (we are in Tunisia and we have to choose options that have enough data about Tunisia). Thanks!
Which will give a better map (better view, markers options, info window) in an Android OS app?
Leaflet with Mapbox or Leaflet with OpenStreetMap?
CARTO
- Crisp UI1
- Great customer service1
- Comprehensive platform1
related CARTO posts
- Light weight33
- Free28
- Evolutive via plugins12
- OpenStreetMap10
- Strong community9
- Choice of map providers7
- Easy API6
- Alternative to Google Maps3
related Leaflet posts
Which will give a better map (better view, markers options, info window) in an Android OS app?
Leaflet with Mapbox or Leaflet with OpenStreetMap?
- Reponsive7
- A lot of widgets4
- Data driven vizualisation4
- Easy tà learn2
- 3D2
- Easy API1
related ArcGIS posts
Google Maps lets "property owners and their authorized representatives" upload indoor maps, but this appears to lack navigation ("wayfinding").
MappedIn is a platform and has SDKs for building indoor mapping experiences (https://www.mappedin.com/) and ESRI ArcGIS also offers some indoor mapping tools (https://www.esri.com/en-us/arcgis/indoor-gis/overview). Finally, there used to be a company called LocusLabs that is now a part of Atrius and they were often integrated into airlines' apps to provide airport maps with wayfinding (https://atrius.com/solutions/personal-experiences/personal-wayfinder/).
I previously worked at Mapbox and while I believe that it's a great platform for building map-based experiences, they don't have any simple solutions for indoor wayfinding. If I were doing this for fun as a side-project and prioritized saving money over saving time, here is what I would do:
Create a graph-based dataset representing the walking paths around your university, where nodes/vertexes represent the intersections of paths, and edges represent paths (literally paths outside, hallways, short path segments that represent entering rooms). You could store this in a hosted graph-based database like Neo4j, Amazon Neptune , or Azure Cosmos DB (with its Gremlin API) and use built-in "shortest path" queries, or deploy a PostgreSQL service with pgRouting.
Add two properties to each edge: one property for the distance between its nodes (libraries like @turf/helpers will have a distance function if you have the latitude & longitude of each node), and another property estimating the walking time (based on the distance). Once you have these values saved in a graph-based format, you should be able to easily query and find the data representation of paths between two points.
At this point, you'd have the routing problem solved and it would come down to building a UI. Mapbox arguably leads the industry in developer tools for custom map experiences. You could convert your nodes/edges to GeoJSON, then either upload to Mapbox and create a Tileset to visualize the paths, or add the GeoJSON to the map on the fly.
*You might be able to use open source routing tools like OSRM (https://github.com/Project-OSRM/osrm-backend/issues/6257) or Graphhopper (instead of a custom graph database implementation), but it would likely be more involved to maintain these services.
- Flexibility15
- Maturity11
- Open Source8
- Incredibly comprehensive, excellent support7
- Extensible4
- Strong community4
- Choice of map providers4
- Low Level API3
- OpenStreetMap1
related OpenLayers posts
- Easy to use490
- Great tool369
- Makes developing rest api's easy peasy276
- Easy setup, looks good156
- The best api workflow out there144
- It's the best53
- History feature53
- Adds real value to my workflow44
- Great interface that magically predicts your needs43
- The best in class app35
- Can save and share script12
- Fully featured without looking cluttered10
- Collections8
- Option to run scrips8
- Global/Environment Variables8
- Shareable Collections7
- Dead simple and useful. Excellent7
- Dark theme easy on the eyes7
- Awesome customer support6
- Great integration with newman6
- Documentation5
- Simple5
- The test script is useful5
- Saves responses4
- This has simplified my testing significantly4
- Makes testing API's as easy as 1,2,34
- Easy as pie4
- API-network3
- I'd recommend it to everyone who works with apis3
- Mocking API calls with predefined response3
- Now supports GraphQL2
- Postman Runner CI Integration2
- Easy to setup, test and provides test storage2
- Continuous integration using newman2
- Pre-request Script and Test attributes are invaluable2
- Runner2
- Graph2
- <a href="http://fixbit.com/">useful tool</a>1
- Stores credentials in HTTP10
- Bloated features and UI9
- Cumbersome to switch authentication tokens8
- Poor GraphQL support7
- Expensive5
- Not free after 5 users3
- Can't prompt for per-request variables3
- Import swagger1
- Support websocket1
- Import curl1
related Postman posts
We just launched the Segment Config API (try it out for yourself here) — a set of public REST APIs that enable you to manage your Segment configuration. A public API is only as good as its #documentation. For the API reference doc we are using Postman.
Postman is an “API development environment”. You download the desktop app, and build API requests by URL and payload. Over time you can build up a set of requests and organize them into a “Postman Collection”. You can generalize a collection with “collection variables”. This allows you to parameterize things like username
, password
and workspace_name
so a user can fill their own values in before making an API call. This makes it possible to use Postman for one-off API tasks instead of writing code.
Then you can add Markdown content to the entire collection, a folder of related methods, and/or every API method to explain how the APIs work. You can publish a collection and easily share it with a URL.
This turns Postman from a personal #API utility to full-blown public interactive API documentation. The result is a great looking web page with all the API calls, docs and sample requests and responses in one place. Check out the results here.
Postman’s powers don’t end here. You can automate Postman with “test scripts” and have it periodically run a collection scripts as “monitors”. We now have #QA around all the APIs in public docs to make sure they are always correct
Along the way we tried other techniques for documenting APIs like ReadMe.io or Swagger UI. These required a lot of effort to customize.
Writing and maintaining a Postman collection takes some work, but the resulting documentation site, interactivity and API testing tools are well worth it.
Our whole Node.js backend stack consists of the following tools:
- Lerna as a tool for multi package and multi repository management
- npm as package manager
- NestJS as Node.js framework
- TypeScript as programming language
- ExpressJS as web server
- Swagger UI for visualizing and interacting with the API’s resources
- Postman as a tool for API development
- TypeORM as object relational mapping layer
- JSON Web Token for access token management
The main reason we have chosen Node.js over PHP is related to the following artifacts:
- Made for the web and widely in use: Node.js is a software platform for developing server-side network services. Well-known projects that rely on Node.js include the blogging software Ghost, the project management tool Trello and the operating system WebOS. Node.js requires the JavaScript runtime environment V8, which was specially developed by Google for the popular Chrome browser. This guarantees a very resource-saving architecture, which qualifies Node.js especially for the operation of a web server. Ryan Dahl, the developer of Node.js, released the first stable version on May 27, 2009. He developed Node.js out of dissatisfaction with the possibilities that JavaScript offered at the time. The basic functionality of Node.js has been mapped with JavaScript since the first version, which can be expanded with a large number of different modules. The current package managers (npm or Yarn) for Node.js know more than 1,000,000 of these modules.
- Fast server-side solutions: Node.js adopts the JavaScript "event-loop" to create non-blocking I/O applications that conveniently serve simultaneous events. With the standard available asynchronous processing within JavaScript/TypeScript, highly scalable, server-side solutions can be realized. The efficient use of the CPU and the RAM is maximized and more simultaneous requests can be processed than with conventional multi-thread servers.
- A language along the entire stack: Widely used frameworks such as React or AngularJS or Vue.js, which we prefer, are written in JavaScript/TypeScript. If Node.js is now used on the server side, you can use all the advantages of a uniform script language throughout the entire application development. The same language in the back- and frontend simplifies the maintenance of the application and also the coordination within the development team.
- Flexibility: Node.js sets very few strict dependencies, rules and guidelines and thus grants a high degree of flexibility in application development. There are no strict conventions so that the appropriate architecture, design structures, modules and features can be freely selected for the development.
- Easy to use490
- Great tool369
- Makes developing rest api's easy peasy276
- Easy setup, looks good156
- The best api workflow out there144
- It's the best53
- History feature53
- Adds real value to my workflow44
- Great interface that magically predicts your needs43
- The best in class app35
- Can save and share script12
- Fully featured without looking cluttered10
- Collections8
- Option to run scrips8
- Global/Environment Variables8
- Shareable Collections7
- Dead simple and useful. Excellent7
- Dark theme easy on the eyes7
- Awesome customer support6
- Great integration with newman6
- Documentation5
- Simple5
- The test script is useful5
- Saves responses4
- This has simplified my testing significantly4
- Makes testing API's as easy as 1,2,34
- Easy as pie4
- API-network3
- I'd recommend it to everyone who works with apis3
- Mocking API calls with predefined response3
- Now supports GraphQL2
- Postman Runner CI Integration2
- Easy to setup, test and provides test storage2
- Continuous integration using newman2
- Pre-request Script and Test attributes are invaluable2
- Runner2
- Graph2
- <a href="http://fixbit.com/">useful tool</a>1
- Stores credentials in HTTP10
- Bloated features and UI9
- Cumbersome to switch authentication tokens8
- Poor GraphQL support7
- Expensive5
- Not free after 5 users3
- Can't prompt for per-request variables3
- Import swagger1
- Support websocket1
- Import curl1
related Postman posts
We just launched the Segment Config API (try it out for yourself here) — a set of public REST APIs that enable you to manage your Segment configuration. A public API is only as good as its #documentation. For the API reference doc we are using Postman.
Postman is an “API development environment”. You download the desktop app, and build API requests by URL and payload. Over time you can build up a set of requests and organize them into a “Postman Collection”. You can generalize a collection with “collection variables”. This allows you to parameterize things like username
, password
and workspace_name
so a user can fill their own values in before making an API call. This makes it possible to use Postman for one-off API tasks instead of writing code.
Then you can add Markdown content to the entire collection, a folder of related methods, and/or every API method to explain how the APIs work. You can publish a collection and easily share it with a URL.
This turns Postman from a personal #API utility to full-blown public interactive API documentation. The result is a great looking web page with all the API calls, docs and sample requests and responses in one place. Check out the results here.
Postman’s powers don’t end here. You can automate Postman with “test scripts” and have it periodically run a collection scripts as “monitors”. We now have #QA around all the APIs in public docs to make sure they are always correct
Along the way we tried other techniques for documenting APIs like ReadMe.io or Swagger UI. These required a lot of effort to customize.
Writing and maintaining a Postman collection takes some work, but the resulting documentation site, interactivity and API testing tools are well worth it.
Our whole Node.js backend stack consists of the following tools:
- Lerna as a tool for multi package and multi repository management
- npm as package manager
- NestJS as Node.js framework
- TypeScript as programming language
- ExpressJS as web server
- Swagger UI for visualizing and interacting with the API’s resources
- Postman as a tool for API development
- TypeORM as object relational mapping layer
- JSON Web Token for access token management
The main reason we have chosen Node.js over PHP is related to the following artifacts:
- Made for the web and widely in use: Node.js is a software platform for developing server-side network services. Well-known projects that rely on Node.js include the blogging software Ghost, the project management tool Trello and the operating system WebOS. Node.js requires the JavaScript runtime environment V8, which was specially developed by Google for the popular Chrome browser. This guarantees a very resource-saving architecture, which qualifies Node.js especially for the operation of a web server. Ryan Dahl, the developer of Node.js, released the first stable version on May 27, 2009. He developed Node.js out of dissatisfaction with the possibilities that JavaScript offered at the time. The basic functionality of Node.js has been mapped with JavaScript since the first version, which can be expanded with a large number of different modules. The current package managers (npm or Yarn) for Node.js know more than 1,000,000 of these modules.
- Fast server-side solutions: Node.js adopts the JavaScript "event-loop" to create non-blocking I/O applications that conveniently serve simultaneous events. With the standard available asynchronous processing within JavaScript/TypeScript, highly scalable, server-side solutions can be realized. The efficient use of the CPU and the RAM is maximized and more simultaneous requests can be processed than with conventional multi-thread servers.
- A language along the entire stack: Widely used frameworks such as React or AngularJS or Vue.js, which we prefer, are written in JavaScript/TypeScript. If Node.js is now used on the server side, you can use all the advantages of a uniform script language throughout the entire application development. The same language in the back- and frontend simplifies the maintenance of the application and also the coordination within the development team.
- Flexibility: Node.js sets very few strict dependencies, rules and guidelines and thus grants a high degree of flexibility in application development. There are no strict conventions so that the appropriate architecture, design structures, modules and features can be freely selected for the development.