marshal.ts VS FrameworkBenchmarks

zod or yup gets you quite a bit of the way there in practice - when you would reach for a Typescript type, making it in zod instead is more verbose but gives that runtime layer.

But for those who actually want full-stack non-stripped runtime type reflection based on Typescript syntax alone... https://deepkit.io/ - https://deepkit.io/blog/introducing-deepkit-framework - is a really promising and cool project.

It patches the typescript compiler (which pointedly considers runtime type information out of scope) with its own type compiler that emits a bespoke bytecode that is executed in a bespoke VM to communicate runtime type information to both server and client as needed. https://docs.deepkit.io/english/runtime-types.html

And from that baseline, there are very cool things you can do like an ORM entirely based on type annotations https://docs.deepkit.io/english/database.html or strongly-typed RPCs https://docs.deepkit.io/english/rpc.html .

It's very much in the alpha stage, but it's really well thought out - there's a tremendous degree of care the developer is taking towards code cleanliness and developer experience. I'm torn between wishing this project to have a fully funded team and take the world by storm, vs. "letting them cook" so to speak and seeing the developer experience unfold organically. Either way, it's a breath of fresh air into the Typescript ecosystem!

Deepkit (listed in the article) is a fascinating project and really deserves to be more popular.

It also demonstrates that what is being asked for is actually practical.

https://deepkit.io/

Checkout deepkit One of the things it has is a really fast BSON parser, that is faster than the JSON one to my understanding. Interesting work with TS types too

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Take a look at restfuncs then. Or deepkit or telefunc.

Both work out of the box very well with Deepkit. You can either construct your own types in runtime or mix TS types with runtime information. See for example https://github.com/deepkit/deepkit-framework/blob/master/packages/framework/src/crud.ts where this is done

Yes, you can directly use the interfaces and types as is with Deepkit (https://deepkit.io) and the library deepkit-openapi. You get also full route documentation if you use the deepkit/http router where you can use interfaces and type aliases plus validation thpes for route parameters (query parameters, body, etc). It still in alpha, but approaches soon beta.

https://deepkit.io/ may be of interest to you! It deeply patches the TS type compiler to make all types visible at runtime, enabling a lot of annotation-style workflows and dependency injection possible completely within the type annotation system: https://docs.deepkit.io/english/runtime-types.html

Previous discussion: https://news.ycombinator.com/item?id=31663298 - it's downright mindblowing that all this seems to be the work of primarily a single developer.

For a less intrusive solution, https://github.com/jquense/yup is a great library to reach for whenever you're defining the shape of a network-transmitted object and don't want to introduce compilation stages.

Neat. Thanks for sharing!

Interestingly, may-minihttp is faring very well in the TechEmpower benchmark [1], for whatever those benchmarks are worth. The code is also surprisingly straightforward [2].

[1] https://www.techempower.com/benchmarks/

[2] https://github.com/TechEmpower/FrameworkBenchmarks/blob/mast...

ntex was formed after a schism in actix-web and Rust safety/unsafety, with ntex allowing more unsafe code for better performance.

ntex is at the top of the TechEmpower benchmarks, although those benchmarks are not apples-to-apples since each uses its own tricks: https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s...

Ruby is slow. Very slow. How much you may ask? https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s... fastest Ruby entry is at 272th place. Sure, top entries tend to have questionable benchmark-golfing implementations, but it gives you a good primer on the overhead imposed by Ruby.

It is also not early 00s anymore, when you pick an interpreted language, you are not getting "better productivity and tooling". In fact, most interpreted languages lag behind other major languages significantly in the form of JS/TS, Python and Ruby suffering from different woes when it comes to package management and publishing. I would say only TS/JS manages to stand apart with being tolerable, and Python sometimes too by a virtue of its popularity and the amount of information out there whenever you need to troubleshoot.

If you liked Go but felt it being a too verbose to your liking, give .NET a try. I am advocating for it here on HN mostly for fun but it is, in fact, highly underappreciated, considered unsexy and boring while it's anything but after a complete change of trajectory in the last 3-5 years. It is actually the* stack people secretly want but simply don't know about because it is bundled together with Java in the public perception.

*productive CLI tooling, high performance, works well in a really wide range of workloads from low to high level, by far the best ORM across all languages and back-end framework that is easier to work with than Node.JS while consuming 0.1x resources

Although that seems to have improved in recent years.

https://www.techempower.com/benchmarks/#hw=ph&test=json§...

RoR and whatever C++ based web backend there is count as a valid comparison in my book. But comparing the languages itself is maybe a bit off.

On a side note, you can actually compare their performance here if you’re really curious. But take it with a grain of salt since these are synthetic benchmarks.

https://www.techempower.com/benchmarks

Most benchmarks you'll find essentially have someone's thumb on the scale (intentionally or unintentionally). Most people won't know the different languages well enough to create comparable implementations and if you let different people create the implementations, cheating happens. The TechEmpower benchmarks aren't bad, but many implementations put their thumb on the scale (https://www.techempower.com/benchmarks). For example, a lot of the Go implementations avoid the GC by pre-allocating/reusing structs or allocate arrays knowing how big they need to be in advance (despite that being against the rules). At some point, it becomes "how many features have you turned off." Some Go http routers (like fasthttp and those built off it like Atreugo and Fiber) aren't actually correct and a lot of people in the Go community discourage their use, but they certainly top the benchmarks. Gin and Echo are usually the ones that are well-respected in the Go community.

There is certainly a lot of speculation in Techempower benchmarks and top entries can utilize questionable techniques like simply writing a byte array literal to output stream instead of constructing a response, or (in the past) DB query coalescing to work around inherent limitations of the DB in case of Fortunes or DB quries.

And yet, the fastest Ruby entry is at 274th place while Rails is at 427th.

https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s...

oh what machine? with how many workers? doing what?

search for "node" on this page: https://www.techempower.com/benchmarks/#section=data-r21

JustJS would like a word https://www.techempower.com/benchmarks/#section=data-r20&tes...

In terms of RPS, this web service is more-or-less the fortunes benchmark in the techempower benchmarks, once the data hits the cache: https://www.techempower.com/benchmarks/#section=data-r21

Or, at least, they would be after applying optimizations to them.

In short, both of these would serve more rps than you will likely ever need on even the lowest end virtual machines. The underlying API provider will probably cut you off from querying them before you run out of RPS.