dweet.io Alternatives
dweet.io
Ridiculously simple data sharing for the Internet of Things.
It's like Twitter for social machines.
If your product, device, machine, gadget or thing can connect to the Internet, it can use dweet.io to easily publish and subscribe to data.
dweet.io doesn't require any setup or sign-up— just publish and go. It's machine-to-machine (M2M) for the Internet Of Things (IOT) the way it was meant to be.
Best dweet.io Alternatives for Web
Are you looking for alternatives to dweet.io? Please see our top picks. In this article, we provide the list of some dweet.io alternatives that will work on Windows and other platforms.
Pubnub
FreemiumMacWindowsLinuxWebAndroidiPhoneChrome OSiPadPubNub is the world’s only global Real-Time Network. PubNub enables software developers to rapidly build and scale real-time apps by providing the cloud...
Features:
- Backend
- Data streaming
- Discovery engine
- Apps that Sync with Google Calendar
- In-Game Overlay
- Real-time pushing
emitter.io
FreeOpen SourceMacWindowsLinuxWebAndroidiPhoneWindows SAndroid TabletWindows PhoneSelf-HostedReal-time communication service for connecting online devices. Infrastructure and APIs for IoT, gaming, apps and real-time web.
Features:
- Api
- Backend
- Cloud based
- Cryptocurrency
- Database
- Developer Tools
- Networking
- Real-time
- Scalable
- Software as a Service
Pusher
CommercialMacWindowsLinuxWebAndroidiPhoneAndroid TabletiPadPusher is a hosted API for quickly, easily and securely adding scalable realtime functionality to web and mobile apps.
Features:
- Websocket streams
- Web Development
ThingSpeak
Free PersonalOpen SourceWebThingSpeak™ is an IoT analytics platform service that allows you to aggregate, visualize and analyze live data streams in the cloud.
Flexible Datasync
FreeWebAndroidiPhoneBoost the development of your realtime apps ! Orange backend fitted for mobile, social, collaborative and IoT services.
Features:
- Backend
- WebRTC
Corlysis
FreemiumWebCorlysis is a platform that helps you with storing and visualizing your time-series data. It is based on InfluxDB and Grafana.
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