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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 Julia?
Since its creation, Julia has been designed with a focus on delivering high performance. Programs developed using Julia compile into highly efficient native code on various platforms thanks to the LLVM framework. At its core, Julia employs multiple dispatch, which greatly aids in representing a wide range of object-oriented and functional programming principles. The exploration of the Remarkable Effectiveness of Multiple Dispatch highlights its outstanding performance capabilities. Additionally, Julia supports dynamic typing, giving it characteristics akin to a scripting language, while also being well-suited for interactive programming sessions. Moreover, Julia offers features such as asynchronous I/O, metaprogramming, debugging tools, logging, profiling, and a package manager, enhancing its versatility. Developers can use Julia’s extensive ecosystem to build comprehensive applications and microservices. This open-source initiative benefits from the contributions of over 1,000 developers and is governed by the MIT License, showcasing its strong community involvement. The blend of high performance and adaptability in Julia positions it as a formidable asset for contemporary programming challenges. As the programming landscape continues to evolve, Julia remains a relevant and effective choice for developers looking to harness its capabilities.
Integrations Supported
AnyChart
Claude Opus 4.8
CodePal
Codecov
Cohere
Coveralls
ERNIE 4.5 Turbo
ERNIE 5.0
Falcon-40B
GPT-4o
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
Free
Free Version
Supported Platforms
SaaS
Windows
Mac
On-Prem
Linux
Supported Platforms
Windows
Mac
Linux
Customer Service / Support
Web-Based Support
Customer Service / Support
Web-Based Support
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
Julia
Company Website
julialang.org
Categories and Features
Computer-Aided Engineering (CAE)
Fluid Dynamics
Import / Export Files
Manufacturing Process Simulation
Mechanical Event Simulation
Thermal Analysis
Categories and Features
Programming Languages
Not specified