Software Alternatives, Accelerators & Startups

AWS Greengrass VS Screenfetch

Compare AWS Greengrass VS Screenfetch and see what are their differences

AWS Greengrass logo AWS Greengrass

Local compute, messaging, data caching, and synch capabilities for connected devices

Screenfetch logo Screenfetch

Simple command-line tool that displays your distro's logo in text art form, your OS version...
  • AWS Greengrass Landing page
    Landing page //
    2023-03-28
  • Screenfetch Landing page
    Landing page //
    2023-08-02

AWS Greengrass videos

Run ML Models at the Edge with AWS Greengrass ML

Screenfetch videos

Neofetch vs. Screenfetch - What's the Difference?

More videos:

  • Review - You don't need Screenfetch - A little Hex Ramble (Linux)
  • Review - debinfo My personal Screenfetch

Category Popularity

0-100% (relative to AWS Greengrass and Screenfetch)
Data Dashboard
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
IoT Platform
100 100%
0% 0
Device Management
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, AWS Greengrass seems to be more popular. It has been mentiond 5 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.

AWS Greengrass mentions (5)

  • Orchestrating Application Workloads in Distributed Embedded Systems: Setting up a Nomad Cluster with AWS IoT Greengrass - Part 1
    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 Summit 2022 Australia and New Zealand - Day 2, AI/ML Edition
    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
  • Applying DevOps Principles to Robotics
    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
  • Machine Learning Best Practices for Public Sector Organizations
    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
  • Looking for a good IoT overview + a simple tutorial
    Take a look at Greengrass https://aws.amazon.com/greengrass/ Enables OTA updates and fleet management. Source: about 3 years ago

Screenfetch mentions (0)

We have not tracked any mentions of Screenfetch yet. Tracking of Screenfetch recommendations started around Mar 2021.

What are some alternatives?

When comparing AWS Greengrass and Screenfetch, you can also consider the following products

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

Neofetch - Fancier version of Screenfetch that displays colors and supports more platforms.

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

Archey 4 - Archey 4 is a system information tool written in Python

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.

Speccy - Speccy - find the details of your computer's specs. Great for spotting issues or finding compatible upgrades. Download the latest version free.