Software Alternatives, Accelerators & Startups

QUCS VS AWS Greengrass

Compare QUCS VS AWS Greengrass and see what are their differences

QUCS logo QUCS

Qucs, briefly for Quite Universal Circuit Simulator, is an integrated circuit simulator which means you are able to setup a circuit with a graphical user interface (GUI) and simulate the large-signal, small-signal and noise behaviour of the circuit.

AWS Greengrass logo AWS Greengrass

Local compute, messaging, data caching, and synch capabilities for connected devices
  • QUCS Landing page
    Landing page //
    2023-04-29
  • AWS Greengrass Landing page
    Landing page //
    2023-03-28

QUCS videos

Qucs Tutorial: Simulating a common emitter bjt amplifier circuit

More videos:

  • Review - QUCS project update Overview, status and ongoing developments.
  • Review - qucs dc simulate

AWS Greengrass videos

Run ML Models at the Edge with AWS Greengrass ML

Category Popularity

0-100% (relative to QUCS and AWS Greengrass)
Simulation
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Electronics
100 100%
0% 0
IoT Platform
0 0%
100% 100

User comments

Share your experience with using QUCS and AWS Greengrass. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare QUCS and AWS Greengrass

QUCS Reviews

11 KiCad Alternatives
The Qucs cross-platform circuit simulator is a spin-off of Qucs. The letter S stands for the SPICE engine, which performs all simulations within the software. The Qucs subproject's goal is to integrate free SPICE circuit simulation kernels into the Qucs GUI. It combines SPICE's capability with the Qucs GUI's simplicity. Qucs utilizes its own SPICE incompatible simulation...
Electronic circuit design and simulation software list
QUCS – Quite Universal Circuit Simulator is a free simulation software developed on GNU/Linux environment. Well, this software really works on other operating systems such as Solaris, Apple Macintosh, Microsoft windows, FreeBSD, NetBSD etc. User can simulate large signal, small signal and noise behavior of the circuit using this simple circuit simulator.

AWS Greengrass Reviews

We have no reviews of AWS Greengrass yet.
Be the first one to post

Social recommendations and mentions

Based on our record, AWS Greengrass should be more popular than QUCS. 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.

QUCS mentions (1)

  • How do dual-directional couplers behave with a mismatched load?
    If you can get s parameter model you can use that. There are also generic transformer and coupled line models so long as you've got a way of characterising it you should be able to model it. https://sourceforge.net/projects/qucs/. Source: over 1 year ago

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 / over 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

What are some alternatives?

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

LTspice - LTspice® is a high performance SPICE simulation software, schematic capture and waveform viewer with enhancements and models for easing the simulation of analog circuits.

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

KiCad - A Cross Platform and Open Source Electronics Design Automation Suite

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

Proteus PCB design - Proteus PCB design combines the schematic capture and ARES PCB layout programs to provide a...

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.