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Average Ratings 0 Ratings
Description
Arm Mbed OS is an open-source operating system tailored for IoT applications, providing all the essential tools for creating IoT devices. This robust OS is equipped to support smart and connected products built on Arm Cortex-M architecture, offering features such as machine learning, secure connectivity stacks, an RTOS kernel, and drivers for various sensors and I/O devices. Specifically designed for the Internet of Things, Arm Mbed OS integrates capabilities in connectivity, machine learning, networking, and security, complemented by a wealth of software libraries, development boards, tutorials, and practical examples. It fosters collaboration across a vast ecosystem, supporting over 70 partners in silicon, modules, cloud services, and OEMs, thereby enhancing choices for developers. By leveraging the Mbed OS API, developers can maintain clean, portable, and straightforward application code while benefiting from advanced security, communication, and machine learning functionalities. This cohesive solution ultimately streamlines the development process, significantly lowering costs, minimizing time investment, and reducing associated risks. Furthermore, Mbed OS empowers innovation, enabling developers to rapidly prototype and deploy IoT solutions with confidence.
Description
QEMU serves as a versatile and open-source machine emulator and virtualizer, allowing users to operate various operating systems across different architectures. It enables execution of applications designed for other Linux or BSD systems on any supported architecture. Moreover, it supports running KVM and Xen virtual machines with performance that closely resembles native execution. Recently, features like complete guest memory dumps, pre-copy/post-copy migration, and background guest snapshots have been introduced. Additionally, there is new support for the DEVICE_UNPLUG_GUEST_ERROR to identify hotplug failures reported by guests. For macOS users with Apple Silicon CPUs, the ‘hvf’ accelerator is now available for AArch64 guest support. The M-profile MVE extension is also now integrated for the Cortex-M55 processor. Furthermore, AMD SEV guests can now measure the kernel binary during direct kernel boot without utilizing a bootloader. Enhanced compatibility has been added for vhost-user and NUMA memory options, which are now available across all supported boards. This expansion of features reflects QEMU's commitment to providing robust virtualization solutions that cater to a wide range of user needs.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Fedora CoreOS
Google Cloud Platform
Mayan EDMS
Mbed Studio
Microsoft Azure
RT-Thread
VxWorks
american fuzzy lop
scriptr.io
Integrations
Amazon Web Services (AWS)
Fedora CoreOS
Google Cloud Platform
Mayan EDMS
Mbed Studio
Microsoft Azure
RT-Thread
VxWorks
american fuzzy lop
scriptr.io
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Arm
Founded
1990
Country
United Kingdom
Website
www.arm.com/products/development-tools/embedded-and-software/mbed-os
Vendor Details
Company Name
QEMU
Website
www.qemu.org
Product Features
Product Features
Virtual Machine
Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server
Virtualization
Archiving & Retention
Capacity Monitoring
Data Mobility
Desktop Virtualization
Disaster Recovery
Namespace Management
Performance Management
Version Control
Virtual Machine Monitoring