Software Alternatives, Accelerators & Startups

Azure IoT Hub VS Lobe

Compare Azure IoT Hub VS Lobe and see what are their differences

Azure IoT Hub logo Azure IoT Hub

Manage billions of IoT devices with Azure IoT Hub, a cloud platform that lets you easily connect, monitor, provision, and configure IoT devices.

Lobe logo Lobe

Visual tool for building custom deep learning models
  • Azure IoT Hub Landing page
    Landing page //
    2023-03-25
  • Lobe Landing page
    Landing page //
    2021-09-20

Azure IoT Hub videos

Azure Friday | Azure IoT Hub

More videos:

  • Review - How Does Azure IoT Hub Work?

Lobe videos

No Lobe videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Azure IoT Hub and Lobe)
IoT Platform
100 100%
0% 0
AI
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Lobe should be more popular than Azure IoT Hub. It has been mentiond 15 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Azure IoT Hub mentions (3)

  • Looking for Microsoft Azure based alternative to Adafruit IO Feeds
    Sure MS has a product. It's more expensive and harder to use, though...Azure IOT hub - https://azure.microsoft.com/en-us/products/iot-hub. Source: 12 months ago
  • Getting Started With Azure IoT Hub
    Azure IoT Hub is a managed cloud service which provides bi-directional communication between the cloud and IoT devices. It is a platform as a service for building IoT solutions. Being an azure offering, it has security and scalability built-in as well as making it easy to integrate with other Azure services. - Source: dev.to / about 2 years ago
  • How to get the EK and Registration ID from a TPM 2.0 module on Raspian
    I am currently working on an IoT Project for my Bachelor's thesis. The goal is to gather data from an existing machine and send it to an Azure cloud via AMQP. To do this I have set up an IoT Hub and will be using the Azure IoT Edge runntime to connect and send the Data. For initial development, I have authenticated my devices to the cloud using symmetric keys generated by the IoT hub. Now I want to switch to... Source: over 2 years ago

Lobe mentions (15)

  • Build end-to-end AI Apps in minutes using just your phone.
    This is interesting. The closest I can compare it to is lobe.ai. Source: over 1 year ago
  • When is Lobe Image Classifying coming
    Lobe.ai says object detection is coming soon. Source: over 1 year ago
  • lobe.ai. new version
    I need urgent help please!!! I've just installed the new Version of lobe.ai on my MAC and now, after it has finished, the prediction rate has decreased from more than 90% to 50% :-( :-(. Source: almost 2 years ago
  • Camera Works for "Label" But Not for "Use"
    Using lobe.ai 0.10.1130.5 I successfully trained using my Webcam Logitech C920. The camera turned live, and I could take individual and rapid-snap photos. But after proceeding to 'Use', the camera button does show, but nothing happens when I press it, not does hovering raise a floating menu. What am I doing wrong? Source: about 2 years ago
  • Rasp Pi OS Bullseye has dropped support of PiCamera - breaks Lobe on Rasp P
    I'm having similar AttributeError . Wondering if this is due to the recent version changes in lobe.ai? Source: over 2 years ago
View more

What are some alternatives?

When comparing Azure IoT Hub and Lobe, you can also consider the following products

ThingSpeak - Open source data platform for the Internet of Things. ThingSpeak Features

Amazon Machine Learning - Machine learning made easy for developers of any skill level

AWS IoT - Easily and securely connect devices to the cloud.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.

Apple Machine Learning Journal - A blog written by Apple engineers