dweet.io vs lelylan
Overview
Detailed Comparison
dweet.io is simple publishing and subscribing for machines, sensors, devices, robots, and gadgets (we just call them things). We call published messages ‘dweets’. It’s helpful to think of dweet.io as a Twitter for things, in fact. It's machine-to-machine (M2M) for the Internet Of Things (IOT) the way it was meant to be. | The Lelylan platform is both hardware-agnostic and platform-agnostic. This means that you can connect any hardware, from the ESP8266 to the most professional embedded hardware solution and everything in between - and it can run on any public cloud, your own private datacenter, or even in a hybrid environment, whether virtualized or bare metal. |
Examples: Public swimming pool temperature, Air quality information in a city, Traffic light status, Train GPS position;Send data from your thing to the cloud by "dweeting" it with a simple HAPI web API;You can also create a real-time subscription to dweets using a "chunked" HTTP response;Private feeds | - |
Statistics | |
GitHub Stars - | GitHub Stars 1.5K |
GitHub Forks - | GitHub Forks 90 |
Stacks 3 | Stacks 0 |
Followers 16 | Followers 29 |
Votes 0 | Votes 0 |
What are some alternatives to dweet.io, lelylan?
Amazon IoT
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. AWS IoT can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected.
Node-RED
It is a programming tool for wiring together hardware devices, APIs and online services in new and interesting ways.
Azure IoT Hub
Use device-to-cloud telemetry data to understand the state of your devices and define message routes to other Azure services without writing any code. In cloud-to-device messages, reliably send commands and notifications to your connected devices and track message delivery with acknowledgement receipts. Device messages are sent in a durable way to accommodate intermittently connected devices.
AWS IoT Device Management
AWS IoT Device Management makes it easy to securely onboard, organize, monitor, and remotely manage IoT devices at scale. IoT Device Management lets you register your devices individually or in bulk, and manage permissions so that devices remain secure. Then, you use the IoT Device Management console to organize your devices into groups, monitor and troubleshoot device functionality, and send remote updates to your devices.
Google Cloud IoT Core
Cloud IoT Core is a fully managed service that allows you to easily and securely connect, manage, and ingest data from millions of globally dispersed devices. Cloud IoT Core, in combination with other services on Google Cloud IoT platform, provides a complete solution for collecting, processing, analyzing, and visualizing IoT data in real time to support improved operational efficiency.
AWS Greengrass
Greengrass lets you run IoT applications seamlessly across the AWS cloud and local devices using AWS Lambda and AWS IoT.
Resin.io
Balena makes it simple to deploy, update, and maintain code running on remote devices.
Bespoken Tools
Bespoken makes it easy to develop for Alexa, Google Home and Chatbots. We provide logging, analytics, and our rapid development CLI.
Losant
Losant is a complete developer platform for quickly, easily, and securely building connected experiences and solutions.
AWS IoT SiteWise
It is a managed service that makes it easy to collect, store, organize, and monitor data from industrial equipment at scale to help you make better, data-driven decisions. You can use it to monitor operations across facilities, quickly compute common industrial performance metrics, and create applications that analyze industrial equipment data to prevent costly equipment issues and reduce gaps in production. This allows you to collect data consistently across devices, identify issues with remote monitoring more quickly, and improve multi-site processes with centralized data.
