75 karma · joined November 23, 2022
That being said, the library is designed to be specification conformant and with EcmaScript implementations in mind. There are some specific API choices made specifically for those clients.
That being said, we are always looking for feedback regarding the native Rust API. So feel free to try temporal_rs out and provide whatever feedback you'd like :)
Congrats to all the champions who worked super hard on this for so long! It's been fun working on temporal_rs for the last couple years :)
We really have to dig into the experimentation and rewrite before knowing for certain.
I'm not aware of any plans to build node-like modules, but I think we have the basic support to potentially build them out ... but I could be overlooking or missing something. I'm not personally familiar with them. But defining and using a macro should hopefully be fairly straightforward in Rust with the macros from our latest release (https://boajs.dev/blog/2025/10/22/boa-release-21#boa_module). If we're missing something, feel free to let us know.
Any runtime functionality that has been implemented is available in `boa_runtime`. I've mentioned this elsewhere in the thread, but this crate is not a runtime itself (yet). Currently, it's a collection of runtime features like `console` and `fetch`.
I don't think I've actually heard of rsgc before. It's definitely interesting to see playXE put it together. I know that they'd been working on starlight at one point, so it'd be interesting to see takeaways from it.
To get to your question on the existing GCs, so far the answer is we don't truly know. We really need to do some GC experiments and test different options in Boa with JavaScript. There are not really that many GC crates out there of which I'm aware. There rust-gc's `gc` crate, dumpster, and `arena-gc` (tack on rsgc). But of those, the `gc` crate truly has the best API that we've used in Boa, but the performance is not ideal amongst other optimizations. It would be nice to preserve that API while improving the performance as well. But that remains to be seen.
Hopefully, there will be more chances in the future for projects like temporal_rs. Beyond just temporal_rs, I think the Temporal integration in V8 and Kiesel was a good proof of concept for Rust based libraries over FFI using Diplomat.
Long answer: first, `fetch` is a runtime feature, and Boa is first and foremost an engine. So `boa_engine` -- the core project crate -- does not support `fetch` out of the box.
That being said, we do have a `boa_runtime` crate. This crate is not currently a full runtime, but it is a collection of runtime features that have been implemented and can be registered onto the context. `fetch` is one of the features that has an implementation completed in `boa_runtime`, and it does use reqwest if I'm remembering correctly. If you're interested to see some example code of registering features, you can look at our CLI code as an example :)
We, the maintainers, could probably sit down some day and try to triage the failures into a documented txt file, but the overhead on that might make it hard to maintain for an open source project. Plus a large amount of the failures are just new specification features that nobody has implemented yet.
Just to note, Boa is an JavaScript engine / interpreter. We're not a runtime, but we do already have some runtime features implemented in the `boa_runtime` crate, but I don't believe that includes any sandboxing as of right now. It's not even a full fledged runtime ... yet (there's been some discussion about expanding it to a full fledged runtime if anyone has a general interest to work on it). For now, `boa_runtime` is just a collection of features for users to potentially use and if they'd like to implement more, then they are totally welcome to.
Someone on our last release thread on Reddit (https://www.reddit.com/r/rust/comments/1odnore/boa_0210_rele...) mentioned adding Boa to Blitz, which I think would be interesting to see as well.
We're looking into the next release potentially being a v1.0, so maybe that option is a bit more possible after that release. But at the same time, I think Servo spends a decent amount of time maintaining the `mozjs` crate, so who knows.
I can't speak exactly for the other maintainers, but for me, I mostly enjoy working on Boa and Boa related things (I've spent the better part of the last year and a half on the temporal implementation). I think it would be cool to have a highly performant and conformant Rust JavaScript engine. So that's my goal :)
QuickJS/QuickJS-NG might be a better comparison, but I think they are limited in specification conformance or at least selective in specification conformance in favor of remaining in a single file and fast. For instance, I'm not entirely sure whether they will be supporting Temporal once it goes Stage 4 because of the size of the feature, and I don't think they support Intl. But I also can't speak for QuickJS.
In general, we are shifting more to performance now than conformance. We currently sit at around 94% conformance, so there's not really that much more to go conformance-wise. The remaining conformance gains are a couple of the newer specification features and Intl related features. Our current conformance can be found at https://boajs.dev/conformance.
Regarding performance, we are already making some gains, with hopefully more to come. The best example of this was probably the updates to script-bench-rs with our most recent release (which can be found at this commit https://github.com/khvzak/script-bench-rs/commit/d9635de77d2...). We still obviously have more to improve on, but we have already made some pretty steady progress from where we were.
EDIT: I forgot to answer your question about v8-jitless. Obviously in the future it would be nice to be able to be more competitive with v8-jitless, but at least for me, I'd just like to focus on improving the Boa overall.
My only concern is that temporal_rs packages it's own time zone data, which may make the WASM package a little heavy, so I've been inclined to leave the polyfill up to fullcalendar's implementation.