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What is RunMat?

RunMat eliminates MATLAB license costs while delivering faster performance. Teams can run existing .m scripts and workflows without rewriting code or purchasing per-seat licenses. GPU acceleration is automatic -- no code changes required. Engineers get results up to 131x faster than NumPy on dense numerical workloads, accelerating parameter sweeps, simulations, and data processing pipelines. Deploys anywhere: desktop (Windows, macOS, Linux), browser (no install needed), CI/CD pipelines, and Jupyter notebooks. Single portable binary with no dependencies. MIT licensed with no seat limits. Ideal for engineering teams in signal processing, controls, quantitative finance, imaging, and scientific computing who need high-performance numerical tools without proprietary license overhead.

What is LXC?

LXC functions as a user-space interface that utilizes the containment features of the Linux kernel. It offers a comprehensive API along with easy-to-use tools, allowing Linux users to create and manage both system and application containers with great ease. Often seen as a blend of a chroot environment and a full-fledged virtual machine, LXC strives to provide an experience that closely mirrors a standard Linux installation without the need for a separate kernel. This characteristic makes it particularly attractive to developers who require efficient and lightweight isolation solutions. As an open-source initiative, most of LXC's code is released under the GNU LGPLv2.1+ license, while some components for compatibility with Android are offered under a conventional 2-clause BSD license, and certain binaries and templates are governed by the GNU GPLv2 license. The reliability of LXC's versions hinges on the various Linux distributions and their commitment to promptly addressing fixes and security updates. Therefore, users can depend on the ongoing enhancement and protection of their container environments, supported by a vibrant community that actively contributes to its development. This collaborative effort ensures that LXC remains a viable choice for containerization in a variety of use cases.

Media

Media

Integrations Supported

GitHub
Jupyter Notebook
MATLAB
npm

Integrations Supported

Netdata

API Availability

API Availability

Pricing Information

$0
Free, Open Source. MIT licensed runtime with no seat limits. Cloud plans available for collaboration and team features.
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

RunMat

Date Founded

2022

Company Location

United States

Company Website

runmat.com

Company Facts

Organization Name

Canonical

Company Website

linuxcontainers.org/lxc/introduction/

Categories and Features

Computer-Aided Engineering (CAE)

Fluid Dynamics
Import / Export Files
Manufacturing Process Simulation
Mechanical Event Simulation
Thermal Analysis

Categories and Features

Container Engines

Not specified

Container Management

Not specified

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