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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 NumPy?

Quick and versatile, the principles of vectorization, indexing, and broadcasting in NumPy have established themselves as the standard for modern array computations. This robust library offers a comprehensive suite of mathematical functions, random number generation tools, linear algebra operations, Fourier transformations, and much more. NumPy's compatibility with a wide range of hardware and computing platforms allows it to work effortlessly with distributed systems, GPU libraries, and sparse array structures. At its foundation, NumPy is constructed with highly optimized C code, enabling users to benefit from the speed typical of compiled languages while still enjoying the flexibility provided by Python. The intuitive syntax of NumPy enhances its user-friendliness and efficiency for programmers of all levels and expertise. By merging the computational power of languages such as C and Fortran with Python’s approachability, NumPy streamlines complex processes, leading to solutions that are both clear and elegant. As a result, this library equips users to confidently and easily address a diverse array of numerical challenges, making it an essential tool in the world of data science and numerical analysis. Furthermore, the active community around NumPy continuously contributes to its development, ensuring that it remains relevant and powerful in the face of evolving computational needs.

Media

Media

Integrations Supported

Coiled
Cython
Dash
Gensim
GitHub
JAX
Jupyter Notebook
MATLAB
MPI for Python (mpi4py)
NVIDIA FLARE
PaizaCloud
PyCharm
Spyder
Train in Data
Unify AI
Yamak.ai
Yandex Data Proc
imageio
npm
scikit-learn

Integrations Supported

Coiled
Cython
Dash
Gensim
GitHub
JAX
Jupyter Notebook
MATLAB
MPI for Python (mpi4py)
NVIDIA FLARE
PaizaCloud
PyCharm
Spyder
Train in Data
Unify AI
Yamak.ai
Yandex Data Proc
imageio
npm
scikit-learn

API Availability

Has API

API Availability

Has API

Pricing Information

$0
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

RunMat

Date Founded

2022

Company Location

United States

Company Website

runmat.com

Company Facts

Organization Name

NumPy

Company Website

numpy.org

Categories and Features

Computer-Aided Engineering (CAE)

CAD/CAM Compatibility
Finite Element Analysis
Fluid Dynamics
Import / Export Files
Integrated 3D Modeling
Manufacturing Process Simulation
Mechanical Event Simulation
Multibody Dynamics
Thermal Analysis

Categories and Features

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