We're very excited to announce a new integration with Microsoft Power Platform, enabling you to build no-code apps and automations with Lobe models! 🎉. Learn more in our blog post here 👉

RT @rschu: AI for all! 🤗. In my latest post in the #SummerOfAi series I cover many Low-Code and No-Code AI solutions and also show how I’ve….

RT @kevin_scott: .@Adafruit is helping makers of all ages and skill levels learn how to leverage electronics, technology, and programming.….

☁️ Introducing our REST Server starter project. A fully functional and universal server written in Flask with all the code you need to get your model up and running and giving predictions back to all your apps. Check it out 👉

⚡️ The most universal way of sharing your model is through the internet. That’s why we build our React Web starter project, with all the code you need to get your model up on your website. Check it out 👉

🤖 Bring your machine learning ideas to life with our Android starter project. A fully functional app with all the code you need to get your model up and running on your phone. Check it out 👉

📱 Start using your model with the iOS starter project. A fully functional app with all the code you need to get your model up and running on your iPhone or iPad. Check it out 👉

🔮 Want to learn more about how to export your model? Our brand new blogpost will show you all the new export options that Lobe 0.9 introduced, and call out the best ones for your projects. Check it out 👉

🔌 The fastest way to test your model is to connect it to Lobe directly. That’s why the new Lobe Connect API introduces better snippets, a more robust endpoint, and overall better instructions. Read more and update at

🌈 See your machine learning models come to life with the new Machine Learning Kit for Raspberry Pi and Lobe. The kit includes all the hardware you need, easy, medium and hard tutorials, Lobe stickers, and more. Check it out 👉

🎊 The new version of Lobe condenses all the model files in one place called Export, with the old options of Core ML, TensorFlow, TensorFlow Lite and TensorFlow.js, and a much more improved ONNX option. Read more and update at

RT @kevin_scott: Shameless plug for work that we've been doing with @Adafruit to make it easier to experiment with #MachineLearning at the….

We also have 3 tutorials to walk you through all the details. The final project is a package detector that emails you when a package is left at your front door 📦.

You can buy the kit directly in the Adafruit store, and start seeing your machine learning models come to life with it👇.

Exciting announcement 🤖. We are stoked to introduce our new Machine Learning Kit in partnership with Adafruit. This kit has everything you need to build your machine learning ideas with a Raspberry Pi and all of its components. Check it out 👉

Lobe 0.9 makes it really easy to start using your model with the brand new Use tab, which integrates the best aspects of Play and the usefulness of Export. Read more and update 👉

With our new starter projects, it's now easier than ever to bring your machine learning ideas to life. Just drag and drop your model, and create:. 📱 iOS: 🤖 Android: 🌎 Web: 🌈 REST:

RT @jonathanhammond: Be sure to checkout the Flask-server on Lobe’s GitHub!

The new Lobe 0.9 is here 🎉. Introducing new ways to use your model with a brand new Export tab, open source starter projects, an improved local API, and great performance improvements throughout the app. Learn more and download the update in our blog 👇

Check out this awesome tutorial by @Dilmerv showcasing @unity3d AR Foundation, and a Python flask server to detect wearing a mask and social distancing 😷. #MadeWithLobe.