Originally published on the FEAScript blog
A heretical claim
For decades, scientific computing has been dominated by performance-oriented languages such as C++ and Fortran. More recently, Python has gained ground, especially in statistical analysis and machine learning. However, for computationally demanding tasks such as finite element analysis, it is still common to turn to C++ and Fortran. But what if JavaScript, a language originally designed for the web, could challenge that norm? At first glance, the idea may sound heretical. Let's analyze it from the ground up.
Performance
To assess JavaScript's speed compared to C++, it is worth looking at recent measurements showing that, in certain CPU-intensive problems such as prime number calculation or matrix operations, JavaScript optimized with modern engines like V8 and its TurboFan optimizer can come quite close to C++. Research and public tests conducted by engineers such as Franziska Hinkelmann and benchmarks like those by Momtchil Momtchev indicate that with proper optimizations and well-structured code, the differences narrow in specific tasks. This does not mean JavaScript will replace C++ in supercomputing, but it is indeed viable for many scientific and engineering workloads, especially when seeking portability and execution in the browser or in serverless environments.
Libraries and ecosystem
JavaScript does not yet have the same historical ecosystem of numerical libraries as C++ or Fortran, but in recent years serious projects have emerged that bring relevant numerical capabilities. Among them, math.js stands out for broad mathematical operations and matrix algebra, ndarray and the scijs ecosystem focused on multidimensional arrays and scientific computing, numbers.js for basic numerical methods, tools like Scribbler for interactive notebooks with preinstalled scientific libraries, and FEAScript as a project aimed at finite element simulation designed for simplicity and use without installation. These libraries make it possible to tackle real problems in the browser and in Node, integrating calculation, visualization, and data pipeline capabilities.
Considerations on WebAssembly
WebAssembly brings enormous potential to accelerate computations in browsers, but it is not without challenges. Compiling large, complex FEA codes to Wasm is theoretically possible, but it involves resolving C and C++ dependencies, adapting file I/O to sandboxed environments, managing thread constraints, and leveraging hardware acceleration. That is why many current solutions combine the best of both worlds: critical components in WebAssembly and the rest in pure JavaScript for simpler native integration. Furthermore, pure JavaScript libraries offer the advantage of running without the need for compilation, which facilitates distribution and immediate use in web and cloud environments.
Practical applications and use cases
JavaScript and associated technologies are an attractive option for rapid prototyping, interactive visualization of results, educational tools, and custom applications that require browser execution. For companies needing solutions with immediate access from any device, combining JavaScript with serverless services and AWS and Azure cloud services allows deploying simulation platforms, interactive dashboards, and scalable numerical APIs. For very compute-intensive workloads, it is still advisable to evaluate integrating compiled modules or backend services in C++ or Fortran, possibly exposed through microservices.
Q2BSTUDIO and its proposal
Q2BSTUDIO is a software development and custom applications company specialized in innovative technological solutions. We offer custom software, custom application development, artificial intelligence and AI implementations for businesses, cybersecurity consulting, AWS and Azure cloud services, business intelligence services, and integration of tools such as Power BI. Our experience includes creating custom AI agents, analytics platforms with Power BI, and secure cloud solutions. We can help integrate JavaScript libraries for scientific computing, develop web simulators based on FEAScript, or combine WebAssembly modules to accelerate critical parts, always delivering custom software optimized for your needs.
Conclusions
Is JavaScript for scientific computing an oxymoron? Probably not. Although it will not dethrone C++ or Fortran in extreme high-performance environments, JavaScript has evolved enough to be a valid option in many scenarios. Modern engines like V8, a growing ecosystem of libraries, and the possibility of combining JavaScript with WebAssembly allow performing non-trivial scientific calculations with reasonable performance and clear advantages in usability and deployment. At Q2BSTUDIO, we believe the best strategy is pragmatic: choose the right tool for each layer of the system and leverage web technologies, AWS and Azure cloud services, artificial intelligence, and cybersecurity to deliver comprehensive and scalable solutions. If you need custom applications, custom software, AI agents, or business intelligence services, contact us to explore how to turn your idea into a real and secure solution.
References
Public works and posts by experts such as Franziska Hinkelmann and Momtchil Momtchev on JavaScript performance versus C++ and on V8 optimizations illustrate the achievable improvements and the areas where it is advisable to optimize or delegate to native code or WebAssembly.
