Alternatives to MATLAB

Simr (formerly UberCloud) is revolutionizing the world of simulation operations with our flagship solution, Simulation Operations Automation (SimOps). Designed to streamline and automate complex simulation workflows, Simr enhances productivity, collaboration, and efficiency for engineers and scientists across various industries, including automotive, aerospace, biomedical engineering, defense, and consumer electronics. Our cloud-based infrastructure provides scalable and cost-effective solutions, eliminating the need for significant upfront investments in hardware. This ensures that our clients have access to the computational power they need, exactly when they need it, leading to reduced costs and improved operational efficiency. Simr is trusted by some of the world's leading companies, including three of the seven most successful companies globally. One of our notable success stories is BorgWarner, a Tier 1 automotive supplier that leverages Simr to automate its simulation environments, significantly enhancing their efficiency and driving innovation.

Ansys Motor-CAD serves as a specialized tool for the design of electric machines, facilitating rapid multiphysics simulations throughout the entire torque-speed operating range. It allows design engineers to assess various motor configurations and concepts to create designs that maximize performance, efficiency, and compactness. With its four integrated modules—EMag, Therm, Lab, and Mech—Motor-CAD enables quick and iterative multiphysics calculations, significantly reducing the time from initial concept to finalized design. This efficiency in calculations and streamlined data input processes provides users with the opportunity to investigate a broader array of motor topologies and thoroughly evaluate the effects of advanced loss mechanisms in the early phases of electromechanical design. The latest release boasts enhanced capabilities for design optimization, multiphysics analysis, and system modeling tailored specifically for electric motors, ensuring that engineers have the tools they need for cutting-edge development. Ultimately, Motor-CAD's fast multiphysics simulation capabilities across the full torque-speed range empower engineers to innovate and refine electric motor designs with unprecedented efficiency.

PrimeSim HSPICE circuit sim is the industry's standard for circuit simulation. It features foundry-certified MOS model models with state of the art simulation and analysis algorithms. HSPICE, with over 25 years of success in design tape outs and a comprehensive circuit simulator, is the industry's most trusted. On-chip simulation: analog designs, RF, custom digital, standard cell design and character, memory design and characterisation, device model development. For off-chip signal integrity simulation, silicon-to-package-to-board-to-backplane analysis and simulation. HSPICE is a key component of Synopsys analog/mixed signal (AMS) verification suite. It addresses the most important issues in AMS verification. HSPICE is the industry's standard for circuit simulation accuracy and offers MOS device models that have been foundry-certified. It also includes state-of-the art simulation and analysis algorithms.

At Posit, we strive to enhance data science by making it more open, user-friendly, accessible, and collaborative for everyone. Our suite of tools empowers individuals, teams, and enterprises to utilize advanced analytics to derive meaningful insights and create a significant impact. From our inception, we have committed to open-source software, such as RStudio IDE, Shiny, and tidyverse, because we firmly believe in democratizing access to data science tools. We offer R and Python-based solutions designed to streamline the analysis process, enabling you to achieve higher-quality results in less time. Our platform facilitates secure sharing of data-science applications across your organization, reinforcing the idea that our code belongs to you. You can build upon it, share it, and use it to enhance the lives of others. By simplifying the processes of uploading, storing, accessing, and distributing your work, we aim to make your experience seamless. We are always excited to learn about the incredible projects being developed using our tools globally, and we cherish the opportunity to share those inspiring stories with the community. Ultimately, our mission is to foster a vibrant ecosystem where data science can flourish for everyone involved.

LabVIEW provides a visual programming environment that allows you to effectively manage all components of your project, such as hardware setups, data collection, and troubleshooting processes. This visual interface streamlines the integration of measurement devices from various manufacturers, enables the representation of intricate logic within the diagram, facilitates the creation of data analysis algorithms, and allows for the development of tailored engineering user interfaces. By utilizing LabVIEW alongside NI DAQ hardware, users can construct bespoke measurement systems that enable the visualization and analysis of real-world signals, empowering them to make informed, data-driven choices. Additionally, LabVIEW in conjunction with NI or third-party hardware allows for the automation of product validation, ensuring that stringent time-to-market and performance standards are met. With LabVIEW, it is possible to devise adaptable testing applications that coordinate multiple instruments while also crafting user interfaces that enhance efficiency in manufacturing tests and reduce operational expenses. Moreover, LabVIEW accelerates the process of developing industrial machinery and intelligent devices, creating opportunities for innovation and efficiency. Ultimately, this powerful tool equips engineers with the capabilities to optimize their projects and achieve superior results.

Multisim™ software combines industry-standard SPICE simulation with an interactive schematic environment that allows for the immediate visualization and analysis of electronic circuit behavior. Its user-friendly interface is designed to assist educators in reinforcing circuit theory and enhancing students' retention of concepts throughout their engineering studies. By integrating robust circuit simulation and analysis into the design workflow, Multisim™ enables researchers and designers to minimize the number of printed circuit board (PCB) prototypes needed, thus reducing development costs significantly. Specifically tailored for educational purposes, Multisim™ serves as a teaching application for analog, digital, and power electronics courses and labs. With its comprehensive suite of SPICE simulation, analysis, and PCB design tools, Multisim™ empowers engineers to efficiently iterate on their designs and enhance the performance of their prototypes while fostering a deeper understanding of electronic principles. This software not only streamlines the design process but also cultivates a hands-on learning experience for students in the field of electronics.

Origin is the preferred data analysis and graphing tool for more than half a million engineers and scientists in government and commercial laboratories around the world. Origin has an intuitive interface that is easy to use for beginners. You can also customize the program as you get more familiar. Origin graphs and analysis results can automatically adjust to data changes or parameter changes. This allows you to create templates or perform batch operations directly from the user interface without programming. Install free Apps from our website to extend the capabilities of Origin. Connect to other applications like MATLAB™, LabVIEW™, or Microsoft(c) Excel. Create custom routines in Origin with our scripting and C languages. OriginPro takes data analysis to the next level. OriginPro provides advanced analysis tools in addition to all the features of Origin.

MatDeck is a universal technical software that can be used for mathematics, science, engineering, chemistry, programming, databases, and many other purposes. Our software includes a complete Python IDE, thousands of mathematical functions, a drag-and-drop GUI Designer, and many visualization tools. All this is embedded in a cutting-edge, live document that provides a professional computing environment at a low cost.

Engineering calculations play a crucial role in the development of products, serving as a foundation for each phase of the design process. To excel in engineering, it is vital for teams to utilize a robust yet user-friendly application that ensures accurate calculations, facilitates traceability, safeguards intellectual property, and clearly presents their methodology. PTC Mathcad seamlessly combines the convenience of an engineering notebook with the capabilities of live mathematical notation and intelligent unit management. Most notably, the calculation power offered by PTC Mathcad yields results that surpass the accuracy typically achievable through standard spreadsheet applications. With PTC Mathcad's extensive range of mathematical features, documenting essential engineering calculations is as straightforward as penning them down. Users can showcase their work with appealing formatting options, integrating plots, text, and images into a single, professionally styled document. Importantly, engaging with PTC Mathcad does not require any specialized expertise, making it accessible for all users. By leveraging this tool, engineering teams can enhance collaboration and efficiency throughout their design processes.

Dash & Dash Enterprise allow you to build and deploy analytic web applications using Python, R, or Julia. No JavaScript or DevOps are required. The world's most successful companies offer AI, ML and Python analytics at a fraction of the cost of full-stack development. Dash is the way they do it. Apps and dashboards that run advanced analytics such as NLP, forecasting and computer vision can be delivered. You can work in Python, R, or Julia. Reduce costs by migrating legacy per-seat license software to Dash Enterprise's unlimited end-user pricing model. You can deploy and update Dash apps faster without an IT or DevOps staff. You can create pixel-perfect web apps and dashboards without having to write any CSS. Kubernetes makes it easy to scale. High availability support for mission-critical Python apps

Develop and test your system using Simulink prior to implementing it on actual hardware. This allows you to explore and apply innovative designs that might typically be overlooked, all without the need to engage in C, C++, or HDL programming. By modeling both the system you are testing and the physical plant, you can investigate a broader design landscape. Your entire team can benefit from a unified multi-domain platform that simulates the interactions of all system components. You can also package and share your simulation results with team members, suppliers, and clients for collaborative feedback. This approach helps minimize costly prototypes by allowing you to experiment with scenarios that might otherwise be deemed too risky or impractical. Use hardware-in-the-loop testing and rapid prototyping to confirm your design's effectiveness. With this method, you can ensure traceability throughout the process, from requirements gathering to design and code development. Rather than manually crafting thousands of lines of code, you can automatically generate high-quality C and HDL code that mirrors your original Simulink model. Finally, deploy this code directly onto your embedded processor or FPGA/ASIC for seamless integration and operation. This comprehensive approach not only streamlines development but also enhances overall project efficiency.

RunMat, developed by Dystr, serves as a quick, cost-free, and open-source substitute for executing MATLAB scripts. It allows users to seamlessly execute their current MATLAB scripts while maintaining full adherence to the language's grammar and essential semantics, all without incurring any licensing costs or vendor lock-in. Crafted using a cutting-edge compiler, RunMat delivers exceptionally rapid computation speeds, starts up in just 5 milliseconds, and comes with built-in GPU optimization, all packaged as a streamlined, cross-platform executable. This makes it an ideal choice for those seeking efficiency and flexibility in their numerical computing tasks.

ndCurveMaster, a specialized curve fitting software, is designed to fit curves with multiple variables. It automatically applies nonlinear equations to your datasets. These can be observed or measured values. The software supports curve and surfaces fitting in 2D 3D 4D 5D ..., dimensions. ndCurveMaster is able to handle any data, no matter how complex or how many variables there are. ndCurveMaster, for example, can efficiently derive the optimal equations for a dataset that has six inputs (x1-x6) and a corresponding output Y. For example: Y = a0 - a1 - exp(x1)0.5 + a2 ln(x2)8... + a6 x65.2 to accurately match measured value. ndCurveMaster uses machine learning numerical methods to automatically fit the most suitable nonlinear regression function to your dataset, and discover the relationships between inputs and outputs. This tool supports various curve fitting methods, including linear, polynomial, and nonlinear methods. It also utilizes essential validation and goodness-of-fit tests to ensure accuracy. Additionally, ndCurveMaster provides advanced assessments, such as detecting overfitting and multicollinearity, using tools like the Variance Inflation Factor (VIF) and the Pearson correlation matrix.

Mathematica represents the ultimate solution for contemporary technical computing. Over the past thirty years, it has set the benchmark for excellence in this field, serving as the primary computational framework for countless innovators, educators, students, and various professionals globally. Renowned for its impressive technical capabilities and user-friendly interface, Mathematica offers a unified, ever-evolving system that encompasses the full spectrum of technical computing. This powerful tool is conveniently accessible via any web browser in the cloud and is also available on all current desktop platforms. With a vibrant development process and a clear vision maintained for three decades, Mathematica distinguishes itself across numerous aspects, showcasing its unmatched support for the evolving needs of today’s technical computing environments and workflows, while continuing to adapt and grow with the demands of its users.

Effortlessly combine COMSOL Multiphysics® with MATLAB® to broaden your modeling capabilities through scripting within the MATLAB framework. The LiveLink™ for MATLAB® feature empowers you to access the comprehensive functionalities of MATLAB and its various toolboxes for tasks such as preprocessing, model adjustments, and postprocessing. Elevate your custom MATLAB scripts by integrating robust multiphysics simulations. You can base your geometric modeling on either probabilistic elements or image data. Furthermore, leverage multiphysics models alongside Monte Carlo simulations and genetic algorithms for enhanced analysis. Exporting COMSOL models in a state-space matrix format allows for their integration into control systems seamlessly. The COMSOL Desktop® interface facilitates the utilization of MATLAB® functions during your modeling processes. You can also manipulate your models via command line or scripts, enabling you to parameterize aspects such as geometry, physics, and the solution approach, thus boosting the efficiency and flexibility of your simulations. This integration ultimately provides a powerful platform for conducting complex analyses and generating insightful results.

At the heart of extensible programming lies the definition of functions. Python supports both mandatory and optional parameters, keyword arguments, and even allows for arbitrary lists of arguments. Regardless of whether you're just starting out in programming or you have years of experience, Python is accessible and straightforward to learn. This programming language is particularly welcoming for beginners, while still offering depth for those familiar with other programming environments. The subsequent sections provide an excellent foundation to embark on your Python programming journey! The vibrant community organizes numerous conferences and meetups for collaborative coding and sharing ideas. Additionally, Python's extensive documentation serves as a valuable resource, and the mailing lists keep users connected. The Python Package Index (PyPI) features a vast array of third-party modules that enrich the Python experience. With both the standard library and community-contributed modules, Python opens the door to limitless programming possibilities, making it a versatile choice for developers of all levels.

YAKINDU Model Viewer (YMV) is a specialized tool for displaying models made with MATLAB Simulink, presenting block diagrams that closely resemble those in Simulink. This viewer offers users the ability to efficiently explore, navigate, and search through extensive and intricate models. With its browser-like navigation capabilities, users can swiftly delve into the system hierarchy. Additionally, YMV boasts advanced visualization options, signal tracing, requirements tracking, and gesture-based interactions, among other features. The tool includes multiple perspectives to display a model's structure and the characteristics of its components, enhancing the user experience. Overall, YAKINDU Model Viewer simplifies the process of understanding complex systems through its intuitive design and comprehensive functionality.

Visplore makes the analysis of large, dirty time series data intuitive and extremely efficient. For process experts, R&D engineers, quality managers, industry consultants, and everyone who has spent a lot of time on the tedious preparation of complex measurement data. Knowing your data is the fundament of unlocking its value. Visplore offers ready-to-use tools to understand correlations, patterns, trends and much more, faster than ever. Cleansing and annotating make the difference between valuable and useless data. In Visplore, you deal with dirty data like outliers, anomalies and process changes as easily as using a drawing program. Integrations with Python, R, Matlab and many other sources makes workflow integration straightforward. And all of that at a performance that is still fun even with millions of data records, and allows for unexpectedly creative analyses.

The VLFeat open source library offers a range of well-known algorithms focused on computer vision, particularly for tasks such as image comprehension and the extraction and matching of local features. Among its various algorithms are Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, the agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, and large scale SVM training, among many others. Developed in C to ensure high performance and broad compatibility, it also has MATLAB interfaces that enhance user accessibility, complemented by thorough documentation. This library is compatible with operating systems including Windows, Mac OS X, and Linux, making it widely usable across different platforms. Additionally, MatConvNet serves as a MATLAB toolbox designed specifically for implementing Convolutional Neural Networks (CNNs) tailored for various computer vision applications. Known for its simplicity and efficiency, MatConvNet is capable of running and training cutting-edge CNNs, with numerous pre-trained models available for tasks such as image classification, segmentation, face detection, and text recognition. The combination of these tools provides a robust framework for researchers and developers in the field of computer vision.

RT-LAB is OPAL's real-time simulation program that combines performance and enhanced user experience. RT-LAB is fully integrated with MATLAB/Simulink® and allows for the most complex model-based design to interact with real-world environments. It allows for complex simulations in real-time, including those in aerospace, power electronics and power systems. RT-LAB was first applied on the Canada Arm of the Canadian Space Agency almost 20 years ago. It has revolutionized systems engineering in space, on ground, and at sea. RT-LAB allows engineers and scientists to quickly develop new prototypes and perform the most rigorous testing required for new technologies.

DataMelt, or "DMelt", is an environment for numeric computations, data analysis, data mining and computational statistics. DataMelt allows you to plot functions and data in 2D or 3D, perform statistical testing, data mining, data analysis, numeric computations and function minimization. It also solves systems of linear and differential equations. There are also options for symbolic, non-linear, and linear regression. Java API integrates neural networks and data-manipulation techniques using various data-manipulation algorithms. Support is provided for elements of symbolic computations using Octave/Matlab programming. DataMelt provides a Java platform-based computational environment. It can be used on different operating systems and programming languages. It is not limited to one programming language, unlike other statistical programs. This software combines Java, the most widely used enterprise language in the world, with the most popular data science scripting languages, Jython (Python), Groovy and JRuby.

LTE MAC Lab is a comprehensive simulation tool designed for system-level analysis, operating within the Matlab environment. This tool enables users to effectively model and evaluate the performance of wireless LTE network deployments while gaining insights into the dynamic aspects of radio interface mechanisms. It captures the fluctuating behavior of a modeled HetNet RAN, emphasizing essential Radio Resource Management functionalities, including scheduling, carrier aggregation, handover processes, and link adaptation strategies. Additionally, the tool incorporates various models for propagation effects such as path loss, shadowing, and multipath, as well as mobility scenarios to enhance simulation accuracy. By leveraging LTE MAC Lab, researchers and engineers can explore and optimize network performance in a controlled setting.

CUDA® is a powerful parallel computing platform and programming framework created by NVIDIA, designed for executing general computing tasks on graphics processing units (GPUs). By utilizing CUDA, developers can significantly enhance the performance of their computing applications by leveraging the immense capabilities of GPUs. In applications that are GPU-accelerated, the sequential components of the workload are handled by the CPU, which excels in single-threaded tasks, while the more compute-heavy segments are processed simultaneously across thousands of GPU cores. When working with CUDA, programmers can use familiar languages such as C, C++, Fortran, Python, and MATLAB, incorporating parallelism through a concise set of specialized keywords. NVIDIA’s CUDA Toolkit equips developers with all the essential tools needed to create GPU-accelerated applications. This comprehensive toolkit encompasses GPU-accelerated libraries, an efficient compiler, various development tools, and the CUDA runtime, making it easier to optimize and deploy high-performance computing solutions. Additionally, the versatility of the toolkit allows for a wide range of applications, from scientific computing to graphics rendering, showcasing its adaptability in diverse fields.

The Model Predictive Control Toolbox™ offers a comprehensive suite of functions, an intuitive app, Simulink® blocks, and practical reference examples to facilitate the development of model predictive control (MPC) systems. It caters to linear challenges by enabling the creation of implicit, explicit, adaptive, and gain-scheduled MPC strategies. For more complex nonlinear scenarios, users can execute both single-stage and multi-stage nonlinear MPC. Additionally, this toolbox includes deployable optimization solvers and permits the integration of custom solvers. Users can assess the effectiveness of their controllers through closed-loop simulations in MATLAB® and Simulink environments. For applications in automated driving, the toolbox also features MISRA C®- and ISO 26262-compliant blocks and examples, allowing for a swift initiation of projects related to lane keep assist, path planning, path following, and adaptive cruise control. You have the capability to design implicit, gain-scheduled, and adaptive MPC controllers that tackle quadratic programming (QP) problems, and you can generate an explicit MPC controller derived from an implicit design. Furthermore, the toolbox supports discrete control set MPC for handling mixed-integer QP challenges, thus broadening its applicability in diverse control systems. With these extensive features, the toolbox ensures that both novice and experienced users can effectively implement advanced control strategies.

Working Model stands out as the top-selling motion simulation software globally. Validate your designs using robust analytical tools at your disposal. The rapid "run-analyze-refine" process enables you to fine-tune your designs prior to creating any physical prototypes, significantly minimizing the need for such prototypes. You maintain complete oversight of the simulation environment. Build, execute, and enhance simulations swiftly with ready-made objects and constraints. You can run, halt, reset, single-step, or pause the simulation whenever necessary. Evaluate your most recent design by measuring various factors like force, torque, and acceleration acting on any component. Outputs can be viewed as vectors or numerical data, presented in either English or metric units. Additionally, you can import your 2D CAD drawings in DXF format seamlessly. Values can be input from equations, sliders, and DDE links to both MATLAB and Excel. Construct bodies and define their mass properties, initial velocity, and electrostatic charge among other parameters. You have the option to run or modify scripts to enhance simulations, document models, and much more. Furthermore, you can create compelling presentations by incorporating images, elevating the overall impact of your work. This comprehensive tool transforms the way designers and engineers approach motion simulation.

The Modelscape solution streamlines the management of financial models' lifecycle for financial institutions, enhancing documentation, transparency, and compliance. By adopting this solution across the entire model lifecycle, users can take advantage of standardized workflows, automated documentation processes, and seamless artifact linking. This approach allows for the horizontal and vertical scaling of algorithms, models, and applications. Additionally, it supports various enterprise infrastructures and programming languages, including Python, R, SAS, and MATLAB. Comprehensive tracking of issues throughout the model lifecycle is facilitated by full model lineage and detailed reporting on issues and usage. An executive dashboard provides insights into model data, enables custom algorithm execution, and offers automated workflows, all while granting web-based access to a thorough, auditable inventory of models and their dependencies. Users can also develop, back-test, and document their models and methodologies effectively. This solution significantly enhances the transparency, reproducibility, and reusability of financial models, while also automatically generating the necessary documentation and reports to support ongoing compliance efforts. In doing so, it empowers financial institutions to maintain high standards in model governance and operational efficiency.

Siemens NX software offers a robust and adaptable integrated platform that enhances the efficiency and speed of product delivery. This innovative solution brings forth advanced design, simulation, and manufacturing capabilities, allowing organizations to harness the potential of the digital twin concept. NX supports all phases of product development, covering everything from initial concept design to engineering and manufacturing, providing a cohesive toolset that integrates various disciplines, maintains data integrity, and ensures design intent, thereby optimizing the overall workflow. One particularly effective approach within NX is the generative design process, which empowers engineers to swiftly create new products while adhering to specific design parameters. This iterative methodology yields quick results, enabling engineers to refine designs through variations in constraints until they achieve optimal solutions that satisfy all project requirements. Ultimately, this flexibility in design processes enhances innovation and accelerates time-to-market for new products.

Cyberbotics' Webots is a versatile, open-source desktop application that operates across multiple platforms, specifically designed for the modeling, programming, and simulation of robotic systems. This tool provides an extensive development environment, complete with a rich library of assets including robots, sensors, actuators, objects, and materials, which streamlines the prototyping process and enhances the efficiency of robotics project development. Additionally, users have the capability to import pre-existing CAD models from software such as Blender or URDF and can incorporate OpenStreetMap data to enrich their simulations with real-world mapping. Webots accommodates various programming languages, such as C, C++, Python, Java, MATLAB, and ROS, which allows developers the flexibility to choose the best fit for their specific needs. Its contemporary graphical user interface, in conjunction with a robust physics engine and OpenGL rendering, facilitates the realistic simulation of a wide range of robotic systems, including wheeled robots, industrial arms, legged robots, drones, and autonomous vehicles. The application sees widespread use in industries, educational institutions, and research environments for purposes such as robot prototyping, AI algorithm development, and testing innovative robotic concepts. Overall, Webots stands out as a powerful resource for anyone looking to advance their work in robotics and simulation technologies.

EOD Historical Data stands out as a premier financial data service provider located in Lyon, France. We deliver an extensive range of APIs that include End-of-Day Historical Stock Market Data, Real-Time Data through WebSockets, and Fundamental Data encompassing Stocks, ETFs, Mutual Funds, and Indices, amongst various other data feeds. Our platform offers extensive global coverage with insights from over 70 stock exchanges, ensuring that users receive dependable, precise, and developer-oriented data solutions. With over three decades' worth of data at your disposal, our methodology involves utilizing multiple data providers to validate and enhance the accuracy of our offerings. Additionally, our user-friendly, one-click API caters to all your financial data requirements. You can also get started quickly through sample codes available in languages such as Excel/VBA, Google Sheets, Python, PHP, JAVA, C#, R, Matlab, and many more, making integration seamless and efficient for developers. Furthermore, we are committed to continuous improvement and innovation in our data services to meet the evolving needs of our clients.

Luminary Cloud represents the cutting-edge of computer-aided engineering as the first SaaS platform designed to deliver rapid insights to engineers, enabling them to conduct simulations, analyses, and iterations that were previously unattainable. Experience the remarkable ability to perform simulations in mere minutes using some of the most powerful GPUs available in the cloud. Your raw simulation data can be securely stored, accessed, and analyzed, leading to valuable insights that enhance engineering design optimization. By expediting experiments, you can improve product design quality while minimizing defects. This platform significantly accelerates time to market by enhancing engineering efficiency and reducing costs associated with hardware, prototyping, and physical testing. Empower your team to achieve their most innovative designs through quicker insights and outcomes, all facilitated by the most user-friendly simulation platform. With the capability to run rapid simulations at any scale, collaborate globally through project sharing, and begin analyzing results without delay, your engineering process will be transformed for the better. The future of engineering design is here, making it easier than ever to bring innovative products to life.

ThingSpeak™ is a cloud-based analytics platform designed for the Internet of Things (IoT) that enables users to collect, visualize, and analyze real-time data streams. It offers immediate graphical representations of the information submitted by connected devices, making it easier to interpret data. Additionally, the platform allows users to run MATLAB® code, facilitating real-time analysis and processing of incoming data. Often utilized for developing prototypes and proof of concept IoT applications that necessitate analytical capabilities, ThingSpeak exemplifies the growing trend of interconnected devices. This trend, known as the Internet of Things (IoT), involves a multitude of embedded devices that connect to the Internet, enabling communication between devices and humans alike. These devices frequently send sensor data to cloud storage and computing systems, where it is analyzed to extract valuable insights, thanks to the affordability of cloud computing and the surge in device connectivity. As these technologies advance, the potential applications for IoT continue to expand, paving the way for innovative solutions across various industries.

Numerical analysis, also known as scientific computing, focuses on the study of techniques for approximating solutions to mathematical challenges. Scilab features an array of graphical functions that allow users to visualize, annotate, and export data, as well as numerous options for creating and personalizing diverse plots and charts. As a high-level programming language designed for scientific applications, Scilab facilitates rapid algorithm prototyping while alleviating the burdens associated with lower-level languages like C and Fortran, where issues like memory management and variable declarations can complicate the process. With Scilab, complex mathematical computations can often be expressed in just a few lines of code, whereas other programming languages might necessitate significantly more extensive coding. Additionally, Scilab is equipped with sophisticated data structures, including polynomials, matrices, and graphic handles, and it provides a user-friendly development environment that enhances productivity and ease of use for researchers and engineers. Overall, Scilab's capabilities streamline the process of scientific computing and make it accessible to a wider audience.

Inventor® Nastran® is a finite element analysis (FEA) tool integrated within CAD software, enabling engineers and analysts to perform a diverse range of studies using various materials. This software provides comprehensive simulation capabilities that encompass both linear and nonlinear stress analysis, dynamic simulations, and heat transfer assessments. It is exclusively accessible through the Product Design & Manufacturing Collection, which includes a suite of powerful tools designed to enhance workflows within Inventor. In addition to advanced simulation features, this collection also offers 5-axis CAM, nesting tools, and access to software like AutoCAD and Fusion 360, ensuring a holistic approach to product design and manufacturing processes. By utilizing Inventor Nastran, professionals can streamline their analysis and improve their design outcomes significantly.

g.BSanalyze serves as an engaging platform designed for the processing and examination of multimodal biosignal data, primarily aimed at clinical research and life sciences. Having been available for over two decades, it has gained traction in more than 70 countries worldwide. This software stands out as the most extensive toolkit for analyzing both non-invasive and invasive functions and dysfunctions of the brain, heart, and muscles. Its excellence has been recognized with multiple international awards. The latest version boasts a plethora of new features, including topographic plots, Canonical Correlation Analysis (CCA), advanced filtering options, a cortiQ file importer, enhancements for Result2D, tools for Cortico-Cortical Evoked Potentials, as well as dedicated toolboxes for electrocorticography (ECoG) and transcranial magnetic stimulation (TMS), among others. Additionally, the package includes numerous sample biosignal datasets, such as those for P300, SSVEP, motor imagery, CSP BCIs, Tilt-Table, event-related potentials (EPs), multi-unit activity, continuous flow magnetic (CFM), cortico-cortical evoked potentials (CCEP), and ERD/ERS. Furthermore, it features an interactive and user-friendly graphical interface tailored for the analysis and documentation of EEG, ECoG, EOG, EMG, ECG, spike data, and various physical datasets, all within the MATLAB environment. Overall, g.BSanalyze offers a comprehensive solution for researchers and practitioners seeking to delve into the complexities of biosignal analysis.

Currently, engineering teams frequently rely on specialized simulation tools from various vendors to assess different design characteristics, which can lead to inefficiencies and higher costs due to the use of multiple software solutions. To address these challenges, SIMULIA offers a comprehensive suite of cohesive analysis products that enable users with varying levels of simulation knowledge and expertise to collaborate effectively while sharing simulation data and approved methodologies without compromising information integrity. The Abaqus Unified FEA product suite provides robust and comprehensive solutions for both standard and advanced engineering challenges, catering to a wide range of industrial applications. In the automotive sector, engineering teams can analyze complete vehicle loads, dynamic vibrations, multibody systems, impact and crash scenarios, nonlinear static situations, thermal interactions, and acoustic-structural relationships, all while utilizing a unified model data structure and integrated solver technology. This seamless integration enhances collaboration and improves the overall efficiency of the engineering process, allowing teams to innovate more rapidly.

Refraction serves as a powerful code-generation tool tailored for developers, employing AI to assist in writing code. This innovative platform enables users to produce unit tests, documentation, refactor existing code, and much more. It supports code generation in 34 programming languages, including Assembly, C#, C++, CoffeeScript, CSS, Dart, Elixir, Erlang, Go, GraphQL, Groovy, Haskell, HTML, Java, JavaScript, Kotlin, LaTeX, Less, Lua, MatLab, Objective-C, OCaml, Perl, PHP, Python, R Lang, Ruby, Rust, Sass/SCSS, Scala, Shell, SQL, Swift, and TypeScript. With Refraction, thousands of developers globally are streamlining their workflows, utilizing AI to automate tasks such as documentation creation, unit testing, and code refactoring. This tool not only enhances efficiency but also allows programmers to concentrate on more critical aspects of software development. By leveraging AI, you can refactor, optimize, fix, and style-check your code effortlessly. Additionally, it facilitates the generation of unit tests compatible with various testing frameworks and helps clarify the intent of your code, making it more accessible for others. Embrace the capabilities of Refraction and transform your coding experience today.

VISTA is a versatile seismic processing and quality control software designed for handling data from various sources, including land, offshore, and vertical seismic profiles. This desktop application facilitates the entire workflow of seismic data processing, starting from early acquisition quality checks to the final stages of interpretation for both 2D and 3D datasets, and is compatible with all industry-standard data formats. Users can effortlessly navigate through the processes and assess their datasets due to the software's interconnected displays. Additionally, it allows for the integration of custom algorithms via C++ or MATLAB SDK interfaces, enhancing its functionality. VISTA boasts sophisticated processing features, such as amplitude versus offset (AVO) analysis, angle of incidence (AVA) assessments, multicomponent data processing, and the analysis of both 2D and 3D vertical seismic profiles. Furthermore, it includes an advanced field package that offers comprehensive geometry quality control and poststack migration capabilities, making it a complete solution for seismic data management, from initial quality checks to prestack migration and time-depth imaging analysis. With VISTA, users can streamline their seismic analysis processes more efficiently than ever before.

CoppeliaSim, created by Coppelia Robotics, stands out as a dynamic and robust platform for robot simulation, effectively serving various purposes such as rapid algorithm development, factory automation modeling, quick prototyping, verification processes, educational applications in robotics, remote monitoring capabilities, safety checks, and the creation of digital twins. Its architecture supports distributed control, allowing for individual management of objects and models through embedded scripts in Python or Lua, plugins written in C/C++, and remote API clients that support multiple programming languages including Java, MATLAB, Octave, C, C++, and Rust, as well as tailored solutions. The simulator is compatible with five different physics engines—MuJoCo, Bullet Physics, ODE, Newton, and Vortex Dynamics—enabling swift and customizable dynamics calculations that facilitate highly realistic simulations of physical phenomena and interactions, such as collision responses, grasping mechanisms, and the behavior of soft bodies, strings, ropes, and fabrics. Additionally, CoppeliaSim offers both forward and inverse kinematics computations for a diverse range of mechanical systems, enhancing its utility in various robotics applications. This flexibility and capability make CoppeliaSim an essential tool for researchers and professionals in the field of robotics.

Fusion 360 seamlessly integrates design, engineering, electronics, and manufacturing into one cohesive software environment. It offers a comprehensive suite that combines CAD, CAM, CAE, and PCB capabilities within a single development platform. Additionally, users benefit from features like EAGLE Premium, HSMWorks, Team Participant, and various cloud-based services, including generative design and cloud simulation. With an extensive range of modeling tools, engineers can effectively design products while ensuring their form, fit, and function through multiple analysis techniques. Users can create and modify sketches using constraints, dimensions, and advanced sketching tools. It also allows for editing or fixing imported geometry from other file formats with ease. Design modifications can be made without concern for time-dependent features, enabling flexibility in the workflow. Furthermore, the software supports the creation of intricate parametric surfaces for tasks such as repairing or designing geometry, while history-based features like extrude, revolve, loft, and sweep dynamically adapt to any design alterations made. This versatility makes Fusion 360 an essential tool for modern engineering practices.

SplineCloud serves as a collaborative knowledge management platform aimed at enhancing the identification, formalization, and sharing of structured and reusable knowledge within the realms of science and engineering. This innovative platform allows users to systematically arrange their data into organized repositories, ensuring that it is easily discoverable and accessible. Among its features are tools like an online plot digitizer, which helps in extracting data from graphical representations, and an interactive curve fitting tool, enabling users to establish functional relationships within datasets through the application of smooth spline functions. Additionally, users have the capability to incorporate datasets and relationships into their models and calculations by directly accessing them via the SplineCloud API or employing open source client libraries compatible with Python and MATLAB. By supporting the creation of reusable engineering and analytical applications, the platform aims to minimize design process redundancies, safeguard expert knowledge, and enhance decision-making efficiency. Ultimately, SplineCloud stands as a vital resource for researchers and engineers seeking to optimize their workflows and improve knowledge sharing in their fields.

Thermo Scientific Amira Software serves as a robust and versatile solution for visualizing, analyzing, and comprehending life science and biomedical research data across a range of imaging modalities, such as optical and electron microscopy, CT, MRI, and more. Notably efficient and adaptable, Amira Software enhances advanced bioimaging workflows in diverse research domains, including structural biology, cellular biology, tissue imaging, neuroscience, preclinical studies, and bioengineering. Among its standout features are capabilities for importing and processing image data, visualization and exploration, sophisticated segmentation, measurement, quantification, and analysis, as well as tailored tools for molecular visualization, object tracking, filament tracing, meshing for finite element analysis, diffusion tensor imaging, 3D registration, and the analysis of biomaterial deformation. Additionally, Amira Software provides options for customization and integrates seamlessly with ecosystems like MATLAB, Python, and custom C++, making it a highly adaptable tool for researchers. This flexibility ensures that researchers can tailor their workflows to meet specific experimental needs and challenges.

Solid Edge is a collection of software tools that are affordable, easy-to-use, maintain, and easy to use. It advances all aspects of product development, including mechanical and electrical design, simulation, production, technical documentation, data management and cloud-based collaboration. Solid Edge is based on Siemens industry-leading technologies and offers the most comprehensive and innovative approach to product development for mainstream markets.

Stata delivers everything you need for reproducible data analysis—powerful statistics, visualization, data manipulation, and automated reporting—all in one intuitive platform. Stata is quick and accurate. The extensive graphical interface makes it easy to use, but is also fully programable. Stata's menus, dialogs and buttons give you the best of both worlds. All Stata's data management, statistical, and graphical features are easy to access by dragging and dropping or point-and-click. To quickly execute commands, you can use Stata's intuitive command syntax. You can log all actions and results, regardless of whether you use the menus or dialogs. This will ensure reproducibility and integrity in your analysis. Stata also offers complete command-line programming and programming capabilities, including a full matrix language. All the commands that Stata ships with are available to you, whether you want to create new Stata commands or script your analysis.

Every day, decision making takes place at every level of every business. Simul8 allows you to make the best decisions every time and delivers serious impact quickly. Simul8 simulation software is so intuitive, quick, and effective that you'll use it every single day. Be based on truth and not hunches. Maximize flow by understanding and optimizing it. Find and inspire new ways of operating. Plan and forecast with confidence. Refute the status quo. Simul8 makes it all possible.

Metariver Technology Co., Ltd. develops innovative and creative computer-aided engineering (CAE) analysis S/W based upon the most recent HPC technology and S/W technologies including CUDA technology. We are changing the paradigm in CAE technology by using particle-based CAE technology, high-speed computation technology with GPUs, and CAE analysis software. Here is an introduction to our products. 1. Samadii-DEM: works with discrete element method and solid particles. 2. Samadii-SCIV (Statistical Contact In Vacuum): working with high vacuum system gas-flow simulation. 3. Samadii-EM (Electromagnetics) : For full-field interpretation 4. Samadii-Plasma: For Analysis of ion and electron behavior in an electromagnetic field. 5. Vampire (Virtual Additive Manufacturing System): Specializes in transient heat transfer analysis.