> Scientific computing where you already have Go code
This is a really cool project and I must admit that and I am on the side as well also asking for something similar to your project for julia since that has one of the highest focus on scientific computing. I would like it if you could create something similar to this but for julia as well, it shall be really cool.
Now coming back to my main point, my question is that what if the scientific computing project is too complicated and might require on features which shall not be available on tinygo as from what I remember, tinygo and go aren't 1:1 compatible
How much impact could it have though, like I am basically asking about the state of tinygo really and if it could do the scientific thing as accurately as you describe it but still a great project nonetheless. Kudos.
Looks interesting and good use case for introducing folks to extending web apps with WASM functionality.
Used a similar technique using tinygo wasm builds (without Vite ofcourse) on toy project where WASM based functionality acted as a fallback if the API wasn't available or user was offline - found it an interesting pattern.
Just be careful with this backend-code-in-frontend stuff. If it's needed for some computationally expensive logic that is logically client side, then fine. But be wary of letting the client dictate business rules and having open-for-anything APIs (GraphQL is particularly prone to this).
I've seen teams do this in the wild more than once.
I was playing around with WASM and WebGL a few years ago to see if it could be used to increase JS performance on certain computationally heavy tasks. I might be misremembering but if I recall correctly the answer was generally always no because of the overheads involved in JS -> WASM -> JS.
Additionally JIT optimisations means that even if you're doing very computationally heavy tasks unless they're one-offs or have a significant amount of computational variance JavaScript is surprisingly performant.
So unless you need to compute something for several seconds and it's done as a one-off typically there will be very little (if any) gain in trying to squeeze out a bit of additional performance in this way.
However this is all off the top of my head and from my own experimentation several years back. Someone please correct me if I'm wrong.
I'm guessing this only works on back end? If yes, then why not just write the back end in Go if you're so fond of the language? It's not like Golang lacks the libraries to do web stuff. Would it be like some shop that is all React, Angular, or some other?
seems like an unintuitive idea that could have only come from someone infected by react/vercel. The natural way that most would think about this is just write go in a go file and have an import attribute or macro
Show HN: Write Go code in JavaScript files
(npmjs.com)151 points by yar-kravtsov 27 October 2025 | 45 comments
Comments
This is a really cool project and I must admit that and I am on the side as well also asking for something similar to your project for julia since that has one of the highest focus on scientific computing. I would like it if you could create something similar to this but for julia as well, it shall be really cool.
Now coming back to my main point, my question is that what if the scientific computing project is too complicated and might require on features which shall not be available on tinygo as from what I remember, tinygo and go aren't 1:1 compatible
How much impact could it have though, like I am basically asking about the state of tinygo really and if it could do the scientific thing as accurately as you describe it but still a great project nonetheless. Kudos.
Used a similar technique using tinygo wasm builds (without Vite ofcourse) on toy project where WASM based functionality acted as a fallback if the API wasn't available or user was offline - found it an interesting pattern.
I've seen teams do this in the wild more than once.
Additionally JIT optimisations means that even if you're doing very computationally heavy tasks unless they're one-offs or have a significant amount of computational variance JavaScript is surprisingly performant.
So unless you need to compute something for several seconds and it's done as a one-off typically there will be very little (if any) gain in trying to squeeze out a bit of additional performance in this way.
However this is all off the top of my head and from my own experimentation several years back. Someone please correct me if I'm wrong.