Best Computer-Aided Engineering (CAE) Software for GitHub
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Compare the Top Computer-Aided Engineering (CAE) Software that integrates with GitHub as of July 2026
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This a list of Computer-Aided Engineering (CAE) software that integrates with GitHub. Use the filters on the left to add additional filters for products that have integrations with GitHub. View the products that work with GitHub in the table below.
What is Computer-Aided Engineering (CAE) Software for GitHub?
Computer-Aided Engineering (CAE) software is used by engineers to analyze and simulate the performance, behavior, and characteristics of designs in a virtual environment. CAE software enables engineers to perform various types of analysis, including structural, thermal, fluid dynamics, and electromagnetics, helping to ensure that products are optimized for functionality, safety, and cost-effectiveness before physical prototypes are created. It includes tools for finite element analysis (FEA), computational fluid dynamics (CFD), multibody dynamics (MBD), and optimization studies. CAE software is widely used in industries such as automotive, aerospace, energy, and manufacturing to improve product designs, reduce material usage, and shorten development cycles. Compare and read user reviews of the best Computer-Aided Engineering (CAE) software for GitHub currently available using the table below. This list is updated regularly.
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RunMat
RunMat
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.Starting Price: $0 -
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Rollup
Rollup
The modern collaboration and low-code platform for engineering teams building the next generation of complex hardware. Rollup has a variety of modules for every aspect of your engineering projects, an all-in-one, real-time, browser-based environment. Effortlessly evolve your system model from concept to production, seamlessly integrating engineering data and parameters over time. Speed up the mechanical design process, with design reviews and real-time feedback pinpointed onto the geometry. Write and manage requirements with enhanced collaboration, approvals, and real-time verification with Rollup data sources Ensure complete coverage of components across mechanical and electrical domains without data duplication issues. Rollup is the easiest way to collaborate with your engineering team across disciplines. Integrated project management statuses and tasks for seamless planning, execution, and tracking.
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