MATLAB vs. MatConvNet vs. RunMat Comparison


MATLAB The MathWorks	MatConvNet VLFeat	RunMat Dystr	+
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About MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB toolboxes are professionally developed, rigorously tested, and fully documented. MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work. Scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. There’s no need to rewrite your code or learn big data programming and out-of-memory techniques. Automatically convert MATLAB algorithms to C/C++, HDL, and CUDA code to run on your embedded processor or FPGA/ASIC. MATLAB works with Simulink to support Model-Based Design.	About The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching. Algorithms include Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. MatConvNet is a MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications. It is simple, efficient, and can run and learn state-of-the-art CNNs. Many pre-trained CNNs for image classification, segmentation, face recognition, and text detection are available.	About RunMat (by Dystr) is a fast, free, open-source alternative for running MATLAB code. Users can run their existing MATLAB code with complete language grammar and core semantics. No license fees, no lock-in. RunMat is built with a modern compiler, which enables blazing-fast calculations. It boots in 5 milliseconds, GPU optimization is enabled by default, and it's a single, compact, cross-platform binary. Typical engineering use cases - Controls/signal processing & numerics: accelerate MATLAB-style loops plus heavy linear algebra; enjoy faster iteration due to instant startup and tiered JIT. - Batch/CI & serverless jobs: snapshots + compact binaries make it easy to run .m workloads in containers or ephemeral runners at scale. - Plot-heavy workflows: interactive GPU plots for exploratory analysis and reportable exports for stakeholders. - Education: remove license friction and start labs instantly; Jupyter kernel supports reproducible worksheets.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Modeling, simulation, and programming software that can be hosted in the cloud or on-premise	Audience Anyone in need of a deep learning software	Audience Engineers, Scientists, Researchers
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API	API Offers API
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Pricing No information available. Free Version Free Trial	Pricing No information available. Free Version Free Trial	Pricing $0 Free Version Free Trial
Reviews/Ratings Overall 4.7 / 5 ease 4.5 / 5 features 4.9 / 5 design 4.8 / 5 support 4.8 / 5 Read all reviews	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 Webinars Live Online In Person	Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information The MathWorks Founded: 1984 United States www.mathworks.com	Company Information VLFeat United States www.vlfeat.org/matconvnet/	Company Information Dystr Founded: 2020 United States runmat.org
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LiveLink for MATLAB Comsol Group	MATLAB The MathWorks	YAKINDU Model Viewer itemis AG
RunMat Dystr View All	VisionPro Deep Learning Cognex View All	UberCloud Simr (formerly UberCloud) View All
Categories Backtesting CAD Computer-Aided Engineering (CAE) Data Science Data Visualization Embedded Software Development Engineering Financial Risk Management Fraud Detection Mechanical Engineering Predictive Analytics Programming Languages Simulation Statistical Analysis	Categories Deep Learning	Categories Computer-Aided Engineering (CAE)
Show More Features CAD Features 2 1/2-Axis Milling 2D Drawing 3-Axis Milling 3D Modeling 4-Axis Milling 5-Axis Milling Civil Collaboration Database Connectivity Design Analysis Design Export Document Management Electrical Hole Making Mechanical Mechatronics Presentation Tools Simulate Cycles Spiral Output Structural Engineering Toolpath Simulation User Defined Cycles Engineering Features 2D Drawing 3D Modeling Chemical Engineering Civil Engineering Collaboration Design Analysis Design Export Document Management Electrical Engineering Mechanical Engineering Mechatronics Presentation Tools Structural Engineering Financial Risk Management Features Compliance Management Credit Risk Management For Hedge Funds Liquidity Analysis Loan Portfolio Management Market Risk Management Operational Risk Management Portfolio Management Portfolio Modeling Risk Analytics Benchmarks Stress Tests Value At Risk Calculation Simulation Features 1D Simulation 3D Modeling 3D Simulation Agent-Based Modeling Continuous Modeling Design Analysis Direct Manipulation Discrete Event Modeling Dynamic Modeling Graphical Modeling Industry Specific Database Monte Carlo Simulation Motion Modeling Presentation Tools Stochastic Modeling Turbulence Modeling Statistical Analysis Features Analytics Association Discovery Compliance Tracking File Management File Storage Forecasting Multivariate Analysis Regression Analysis Statistical Process Control Statistical Simulation Survival Analysis Time Series Visualization	Show More Features Deep Learning Features Convolutional Neural Networks Document Classification Image Segmentation ML Algorithm Library Model Training Neural Network Modeling Self-Learning Visualization	Show More Features Computer-Aided Engineering (CAE) Features CAD/CAM Compatibility Finite Element Analysis Fluid Dynamics Import / Export Files Integrated 3D Modeling Manufacturing Process Simulation Mechanical Event Simulation Multibody Dynamics Thermal Analysis
Integrations Artelys Knitro COMSOL Multiphysics CloudSwyft CoppeliaSim EASA FICO Xpress Optimization GPT Pilot Geany Helix Editor HostAccess MATLAB Mayhem Code Security OptiTrack Motive Overleaf PACE Anti-Piracy PMD Plotly Dash Snipplr SpellBox Show More Integrations View All 77 Integrations	Integrations Artelys Knitro COMSOL Multiphysics CloudSwyft CoppeliaSim EASA FICO Xpress Optimization GPT Pilot Geany Helix Editor HostAccess MATLAB Mayhem Code Security OptiTrack Motive Overleaf PACE Anti-Piracy PMD Plotly Dash Snipplr SpellBox Show More Integrations	Integrations Artelys Knitro COMSOL Multiphysics CloudSwyft CoppeliaSim EASA FICO Xpress Optimization GPT Pilot Geany Helix Editor HostAccess MATLAB Mayhem Code Security OptiTrack Motive Overleaf PACE Anti-Piracy PMD Plotly Dash Snipplr SpellBox Show More Integrations View All 1 Integration
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