kataw VS deno

It then builds on the assumption that all of Javascript performance scales linearly based on the results of that fishy benchmark. Never mind that in C you can stack allocate, or use arena allocators, or use a million of other tricks, where in JS, once you write {}, you got a heap allocation that you don't have any control over (and if you think this doesn't matter, this is one of the reasons why esbuild is so much faster than babel, or heck even kataw, the fastest JS parsing toolkit I'm aware of).

esbuild is the current darling leading the pack, but there are also various other projects in the space (swc[0] is written in Rust, fjb[1] is written in C, bun[2] is written in zig, leveraging JavascriptCore's engine).

The most significant performance-oriented effort in this space still leveraging JS that I know of is kataw[3], and while that's quite fast compared to babel, it's still within an order of magnitude from babel. Kataw itself is a CST-based implementation that was created to outperform seafox (a AST-based parser by the same developer).

Babel gained popularity due to the crazy amount of churn in grammar over the past few years, but more and more I think the dust is settling, and flexibility is no longer the name of the game, making an AST-based implementation less appealing. The Rome team must be feeling the heat if the data structure design choices are being informed by performance. I highly doubt someone will be able to compete in performance using a JS implementation in today's landscape.

[0] https://github.com/swc-project/swc

[1] https://github.com/sebbekarlsson/fjb

[2] https://bun.sh/

[3] https://github.com/kataw/kataw

Kataw is a *work in progress* javascript toolchain with high focus on performance, and it's main goal is to unify functionality that has previously been separate tools. It's core is an ECMAScript friendly CST that allows you to parse `ECMAScript® 2022 (ECMA-262 12th Edition) language specification`. Each CST node contains several properties, and the `flags` property contains the CST info. The CST info can be extracted from the CST node through public API methods. Click [here](https://github.com/kataw/kataw/tree/main/src/parser#public-api-methods-to-extract-info-from-cst-nodes) for a complete list over all the public API methods. Many of these APIs have the advantage that they allow you to "retrieve" info that is not otherwise available with a standard AST parser. One example is that you only need to use `kataw.isStatementNode` to find out if the current CST node is a statement node. With an AST parser you must use a `switch statement` with 60 `switch cases`. Another example is how easy it is to find out if a keyword node contains an `escaped keyword`. You only need to use `kataw.hasUnicodeEscape`. You can narrow this down further if you use `kataw.isChildLess`. A keyword doesn't have any child nodes. A third benefit with this CST parser is that it is running in `recovery mode` by `default` and can be used in any editor. A build-in diagnostic system reports diagnostics if an `error handler` have been used. The diagnostics are dynamic. It means all the diagnostics are informative, and they will will change based on the context you are parsing in. The diagnostics have been designed like this so you can quickly understand what the problem is and correct it. These features used together gives you more options to adjust, modify and customize the CST tree compared to a regular AST parser and you can also write fewer code lines and at the same time experience insane performance.

NodeJS is the dominant Javascript server runtime environment for Javascript and Typescript (sort of) projects. But over the years, we have seen several attempts to build alternative runtime environments such as Deno and Bun, today’s subject, among others.

https://github.com/denoland/deno/issues is the ideal place -- we try to triage all incoming issues, the more specific the repro the easier it is to address but we will take a look at everything that comes in.

Install Node.js (or Bun, or Deno, or whatever JS runtime you prefer) if it's not there

QUIC is very exciting, after seeing what it can do for performance in Cloudflare network and Cloudflare workers, I can't wait to finally see it in Deno[0] 1.41.

[0] https://github.com/denoland/deno/pull/21942#issuecomment-192...

So as an end user it's kind of like https://deno.com/ where you buy into a runtime + comes prepacked with DBs (k/v stores), scheduling, and deploy stuff?

> by storing Unison code in a database, keyed by the hash of that code, we gain a perfect incremental compilation cache which is shared among all developers of a project. This is an absolutely WILD feature, but it's fantastic and hard to go back once you've experienced it. I am basically never waiting around for my code to compile - once code has been parsed and typechecked once, by anyone, it's not touched again until it's changed.

Interesting. Whats it like upgrading and managing dependencies in that code? I'd assume it gets more complex when it's not just the Union system but 3rd party plugins (stuff interacting with the OS or other libs).

~90MB+ at this stage and do now allow compression without erroring out. Deploying ala Golang is not feasible at that level but could well be down the line if this dev branch is picked up again!

The exe output grew from from ~50MB to plus ~90MB from 2021 to 2024: https://github.com/denoland/deno/discussions/9811 which mean Deno is worse than Node.js's pkg solution by a decent margin.

Behind the scenes is a simple Sveltekit-powered server function to fetch a Spotify client token then find a user's recommendation playlist and its track information. A Deno edge function to performs this data fetch and renders server-side Svelte.

If your application is written in JavaScript, integrating it with JavaScript extensions is a no-brainer. However, Secutils.dev is entirely written in Rust. How would I even begin? Fortunately, I recently came across an excellent blog post series explaining how to implement your JavaScript runtime in a Rust application with Deno: