StackBlitz
CodeSandbox
replit
CodePen
GitHub Codespaces
Glitch
JSFiddle
CodeTasty
AWS Greengrass
AWS IoT
Particle.io
Azure IoT Hub
AWS IoT 1-Click
Blynk.io
AWS IoT Core
Azure IoT Edge
StackBlitz
AWS GreengrassI've started using this as my main IDE for new projects when I'm trying things out. If it keeps getting better at the rate it has been, it'll be even better than coding locally.
Based on our record, StackBlitz seems to be a lot more popular than AWS Greengrass. While we know about 112 links to StackBlitz, we've tracked only 6 mentions of AWS Greengrass. 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.
Managing reactive state and dependent computations in JavaScript can get complex, especially when combining asynchronous and synchronous data. RS-X is a library that allows you to bind expressions to plain objects and makes the parts of the model used by those expressions fully reactive. Dependent computations automatically update when the underlying data changes. RS-X is framework-agnostic. While it can drive UI... - Source: Hacker News / 5 months ago
I like htmx, LiveView, React and Solid. They are great at different points, so I try to combine them in Solv (Stateless Offline-capable LiveView) and write a prototype to show the benefits. Solv's main idea is that stateless servers keep client's state in a volatile cache. It enables server components that are also interactive, which is best of both worlds between LiveView and htmx. Then fine-grained reactivity is... - Source: Hacker News / 8 months ago
I like htmx, LiveView, React and Solid. They are great at different points, and this is a prototype trying to combine them. Solv's main idea is that stateless servers keep client's state in a volatile cache. It enables server components that are also interactive, which is best of both worlds between LiveView and htmx. Then fine-grained reactivity is added to achieve efficient DOM updates + minimal payload size.... - Source: Hacker News / 8 months ago
In the code editor tab (powered by StackBlitz), navigate to the env.ts file and enter your OpenAI key. Run npm run generate in the terminal to see how @autoview generates TypeScript frontend code from example schemas derived from both TypeScript types and OpenAPI documents. - Source: dev.to / over 1 year ago
URL: https://stackblitz.com What it does: An online IDE for coding, previewing, and deploying web apps instantly. Why it's great: Rapidly spin up projects without local setups โ great for experimentation. - Source: dev.to / over 1 year ago
AWS IoT Greengrass is an open-source IoT edge runtime developed by Amazon Web Services. It allows connected devices to perform data processing, run applications, and communicate locally, even when internet connectivity is limited or unavailable. Once devices reconnect, the system synchronizes seamlessly with AWS cloud services. - Source: dev.to / 10 months ago
In this blog post series, we will demonstrate how to use AWS IoT Greengrass and Hashicorp Nomad to seamlessly interface with multiple interconnected devices and orchestrate service deployments on them. Greengrass will allow us to view the cluster as a single "Thing" from the cloud perspective, while Nomad will serve as the primary cluster orchestration tool. - Source: dev.to / over 3 years ago
AWS IoT Greengrass allows one to manage their IOT Edge devices, download ML models locally, so that inference can then be also be done locally. - Source: dev.to / about 4 years ago
To assist in deployment and management of workloads in your fleet, it's worth taking advantage of a fleet or device management tool such as AWS GreenGrass, Formant or Rocos. - Source: dev.to / over 4 years ago
In some cases, such as with edge devices, inferencing needs to occur even when there is limited or no connectivity to the cloud. Mining fields are an example of this type of use case. AWS IoT Greengrass enables ML inference locally using models that are created, trained, and optimized in the cloud using Amazon SageMaker, AWS Deep Learning AMI, or AWS Deep Learning Containers, and deployed on the edge devices. - Source: dev.to / over 4 years ago
CodeSandbox - Online playground for React
AWS IoT - Easily and securely connect devices to the cloud.
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.
Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.
CodePen - A front end web development playground.
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.