dom-expressions VS odoyle-rules

The template core, which is in https://github.com/ryansolid/dom-expressions/tree/main/packages/dom-expressions This template core manages the DOM and SSR-related APIs that is usually hidden from the user. This core is also "cloned" into the SolidJS repo via Rollup.

Revised my comment. However, I'm required to use Babel for: https://github.com/ryansolid/dom-expressions/tree/main/packages/babel-plugin-jsx-dom-expressions and a couple other small plugins.

Solid's transform seems fairly time consuming and difficult to maintain to me, though maybe it isn't, I'm not familiar with that code or with writing Babel transforms in general, you decide.

vuerx-jsx is using Vue's reactivity system (@vue/reactivity) with Solid's DOM renderer. Both offer blazingly fast performance, (much) faster than their original usage.

Solid is great, you can also use it with hyper dom expressions: https://github.com/ryansolid/dom-expressions

If you're going down this route I'd second the recommendation for O'Doyle Rules. (Haven't used it since I switched away from SPAs altogether, but when I was investigating stuff in that space, O'Doyle appeared to be taking the "correct approach" from what I could tell.)

That's what this tiny library does https://github.com/oakes/odoyle-rules

Reactive updates is the big one, in my opinion. DataScript is a triumph and arguably is the reason why so many note-taking tools (Roam, Athens, Logseq, etc) are written in Clojure. But there are so many cases where it would be nice to react when some set of entities is changed.

I think what we need is to figure out how to combine DataScript with a rules engine. I'm wrote a rules engine and made a writeup that compares the two together: "Using O'Doyle Rules as a poor man's DataScript" https://github.com/oakes/odoyle-rules/blob/master/bench-src/...

Subscribing to individual entities is nice but with a rules engine you have so much more fine-grained control over your reactions. And with the RETE algorithm this can be done efficiently. Most libraries in this space just ignore it and make their own ad-hoc solution -- an informally-specified, bug-ridden, slow implementation of half of a rules engine.

Odoyle-rules lets you write rules (forwards chaining) engine that you can run on client and server. There are a couple ways you can twist that idea to achieve a more unified system.

I suspect it'd be too much of a mismatch to be useful, but i haven't thought about it enough. I think a more promising idea is to try implementing a database with o'doyle. I wrote about my first attempt here: Using O'Doyle Rules as a poor man's DataScript Right now it would be too inefficient for large data sets because it has to constantly rebuild its index but i think with some small changes i could improve that and basically turn o'doyle into a tool for creating databases that come with reactivity for free.

No doubt there's a runtime cost in joining the facts together, so naturally a system that lumps facts together into records (like clara) will have to do fewer joins, and should be faster. I figured out that i could at least deduplicate my joins with derived facts as i explained here, which ended up being a really big perf boost. But there's still a tradeoff, and one where almost everyone should favor flexibility, i think.