Best Engineering Software for LDRA Tool Suite

Find and compare the best Engineering software for LDRA Tool Suite in 2025

Use the comparison tool below to compare the top Engineering software for LDRA Tool Suite on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    IBM Rhapsody Reviews
    IBM® Engineering Systems Design Rhapsody (Rational Rhapsody), and its family of products, offer a proven solution to modeling and system design activities. This allows you to manage the complexity that many organizations face when it comes product and system development. Rhapsody is part the IBM Engineering portfolio. It provides a collaborative design environment and test environment for system engineers. It supports UML and SysML as well as UAF and AUTOSAR. This solution allows for the control of defense frameworks (DoDAF/ModAF, UPDM), and speeds up industry standards like ISO 26262, DO-178B/C, and DO-178B/C. Continuous validation is possible through rapid prototyping, simulation, and execution. This allows you to correct errors sooner than they become costly. Automated consistency checking can improve agility and collaboration to reduce both recurring as well as non-recurring costs.
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    MATLAB Reviews
    Top Pick
    MATLAB®, a combination of a desktop environment for iterative analysis, design processes, and a programming language that expresses matrix or array mathematics directly, is MATLAB®. It also includes the Live Editor, which allows you to create scripts that combine output, code, and formatted text in an executable notebook. MATLAB toolboxes have been professionally developed, tested and documented. MATLAB apps allow you to see how different algorithms interact with your data. You can repeat the process until you get the results you desire. Then, MATLAB will automatically generate a program to replicate or automate your work. With minor code changes, you can scale your analyses to run on GPUs, clusters, and clouds. You don't need to rewrite any code or learn big-data programming and other out-of-memory methods. Convert MATLAB algorithms automatically to C/C++ and HDL to run on your embedded processor/FPGA/ASIC. Simulink works with MATLAB to support Model-Based Design.
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    Simulink Reviews

    Simulink

    MathWorks

    $860 per year
    Simulink allows you to simulate your system before you move on to hardware. You can explore and implement designs you wouldn't normally consider without having to code C, C++, or HDL code. You can explore a wide range of design options by modeling the system under testing and the physical plant. To simulate the behavior of all components of the system, your entire team can use a multi-domain environment. Your simulations can be packaged and shared with clients, suppliers, or collaborators. You can reduce the cost of prototypes by testing your system in conditions that are too risky or too time-consuming. Rapid prototyping and hardware-in-the loop testing can validate your design. You can trace your design from requirements to code. Instead of writing thousands upon lines of code manually, generate high-quality C or HDL code automatically. This code behaves in the same way that Simulink's model. You can then deploy it directly to your embedded processor or FPGA/ASIC.
  • 4
    BlackBerry QNX Reviews
    Our commercial RTOS, tools and services make it easier to launch critical embedded systems. BlackBerry QNX is a time-tested realtime operating system (RTOS), hypervisor and other embedded software that will make you successful. Our embedded OS is the best choice for medical robots, ventilators, train controls and factory automation systems. Our software, tools, and services can help build safer products, regardless of whether you are focusing on safety, security, or performance. We can help you improve safety and security, or streamline cross-platform development. With an RTOS and hypervisor specifically designed for embedded systems, we can help you bring your ideas to life. Our modular microkernel architecture provides greater reliability and reduces the need to duplicate OS development effort across multiple products.
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