AWS Greengrass might be a bit more popular than AVRDUDESS. We know about 5 links to it since March 2021 and only 5 links to AVRDUDESS. 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.
By default it uses the command line version of avrdude for simple "read/write this image" operations, but there is a GUI for it as well. As well as an android app (zflasher AVR). Never used the avrdude GUI myself (I prefer command line interfaces to GUIs) though, so can't comment in detail on it. Source: 12 months ago
How are you uploading the firmware binaries to the printer? I use AVRDUDESS with a USBasp device connected to the printer's ICSP port. One day I'll try to install a boot-loader so I can update firmware using my octopi, but I don't update firmware very often anymore. Source: over 1 year ago
After doing this, download a tool called AVRDUDESSS from here. Source: over 2 years ago
I would suggest using AVRDUDES GUI. Being able to change fueses and verify code with a click is MUCH easier than messing around with Arduino or AVRdude command line. Source: over 2 years ago
AVRDUDE (GUI link) and any AVR programmer. Covers most 8 bit AVR. Source: about 3 years 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 / about 1 year 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 2 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 2 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 2 years ago
Take a look at Greengrass https://aws.amazon.com/greengrass/ Enables OTA updates and fleet management. Source: about 3 years ago
avrdude-gui - a GUI Interface for the popular avrdude program.
AWS IoT - Easily and securely connect devices to the cloud.
Arduino IDE - Arduino is an open-source electronics prototyping platform based on flexible, easy-to-use hardware...
Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.
PlatformIO - Next-generation IDE for IoT
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.