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About

RunMat (by Dystr) is a fast, free, open-source alternative for running MATLAB code. Users can run their existing .m files with complete MATLAB language grammar and core semantics. No license fees, no lock-in. 300+ built-in functions supported. RunMat is built with a modern Rust runtime featuring a tiered execution model: an interpreter (Ignition) for instant 5ms startup and a JIT compiler (Turbine/Cranelift) for hot paths. GPU acceleration is automatic via a fusion engine that detects elementwise operation chains and dispatches them as optimized GPU kernels across NVIDIA, AMD, Apple Silicon, and Intel GPUs through Metal, DirectX 12, Vulkan, and WebGPU. Up to 131x faster than NumPy and 7x faster than PyTorch on dense numerical workloads. Runs everywhere: CLI, NPM package, Homebrew, Jupyter kernel, or instantly in the browser via WebAssembly + WebGPU. Single portable binary. MIT licensed.

About

tensorViz helps developers explore PyTorch models and JAX/Flax programs as interactive graphs. For PyTorch, users can expand nested modules, inspect tensor shapes captured from one forward pass, jump to Python source, and review architecture changes beside code diffs. The website offers recorded model graphs to explore without installation. The free VS Code extension is available from the Visual Studio Marketplace and Open VSX. Local capture requires Python, model dependencies, and example inputs. Standalone coding-agent plugins are an Apple Silicon macOS preview; MCP agents can also connect to the extension. JAX/Flax graphs use CPU tracing with inferred shapes, and PyTorch source edits are unavailable for them.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Engineers, Scientists, Researchers

Audience

Machine learning engineers, PyTorch developers, researchers and students exploring model architecture, tensor shapes and architecture changes.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

$0
Free, Open Source. MIT licensed runtime with no seat limits. Cloud plans available for collaboration and team features.
Free Version Supported
Free Trial Not Supported

Pricing

$0
The VS Code extension is free to install. Core graph exploration and source-edit forms work without an agent or provider API key; connecting a coding agent is optional.
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

RunMat
Founded: 2022
United States
runmat.com

Company Information

tensorViz
tensorviz.dev/

Alternatives

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services
MATLAB

MATLAB

The MathWorks

Categories

Categories

Deep Learning Supported
Machine Learning Supported

Computer-Aided Engineering (CAE) Features

CAD/CAM Compatibility Not Supported
Finite Element Analysis Not Supported
Fluid Dynamics Supported
Import / Export Files Supported
Integrated 3D Modeling Not Supported
Manufacturing Process Simulation Supported
Mechanical Event Simulation Supported
Multibody Dynamics Not Supported
Thermal Analysis Supported

Integrations

GitHub Supported
Claude Code Not Supported
Codex CLI Not Supported
Cursor Not Supported
Jupyter Notebook Supported
MATLAB Supported
Model Context Protocol (MCP) Not Supported
T3 Code Not Supported
Visual Studio Code Not Supported
npm Supported

Integrations

GitHub Supported
Claude Code Supported
Codex CLI Supported
Cursor Supported
Jupyter Notebook Not Supported
MATLAB Not Supported
Model Context Protocol (MCP) Supported
T3 Code Supported
Visual Studio Code Supported
npm Not Supported
Claim RunMat and update features and information
Claim RunMat and update features and information
Claim tensorViz and update features and information
Claim tensorViz and update features and information