Scientific performance critical code isn't written in Python, it is written in C/C++ which is used by Python. Python in ML usually merely describes the calculat

Scientific performance critical code isn't written in Python, it is written in C/C++ which is used by Python. Python in ML usually merely describes the calculation not unlike React describes the DOM that should be displayed in the browser. JavaScript was never really known for admin or file manipulation (Perl replacement), so that was what probably established the dominant ecosystem for Python. I also don't think the runtime overhead is applicable due to native C/C++ part, and download time doesn't have to be bad since modules can be split just like in JavaScript ecosystem today. For an AI app, the model inference weights might be larger than the compiled WASM code itself. However, I'd agree with you that porting legacy apps might not be possible without something close to a rewrite. There is a reasonable chance that once WASM GC is implemented, then direct DOM access will be provided [1], which I believe could pretty much halt interest in new JavaScript development for web frameworks overnight. WASM is the reincarnation of the Java Applet, but better. And a more typed language like Go or Dart could become the most widely used programming language. Either compile it to WASM as plugin for something like the browser, compile to JavaScript for "legacy browsers", or to native code for a standalone app. There are probably a handful of developers already assuming this and trying to write a version of React running in WASM already. [1] https://github.com/WebAssembly/design/blob/main/Web.md#gc https://github.com/WebAssembly/design/blob/main/Web.md#gc