shadow-cljs VS datascript

* Single-Page App: shadow-cljs for the build concerns (https://github.com/thheller/shadow-cljs), Reagent with Re-frame for complex/large app (https://reagent-project.github.io and https://github.com/day8/re-frame). Even if we now prefer using HTMX (https://htmx.org) and server-side rendering (Hiccup way of manipulating HTML is just amazing, https://github.com/weavejester/hiccup).

Now, add shadow-cljs.

Work with latest shadow-cljs (& closure compiler) #890

You can already develop with ClojureScript on the back-end. A popular ClojureScript compiler, Shadow-CLJS (https://github.com/thheller/shadow-cljs) has a target for Node among many others.

Hi, I'm looking at Clojurescript again after not having paid attention to it after several years. Are you saying that shadow-cljs does something to deal with the, "I have no idea if this library I want to use works with the Google Closure compiler," problem? If so, what? I'd really like to know.

I don't know, the community in general tend to use macros that are well written. I keep seeing core.async being used (`go`) in Clojure projects, and also various macros for writing HTTP servers (compojure being a popular one which main code interface is a macro `defroutes`).

ClojureScript projects also routinely add support for making asynchronous code look synchronous (like `async/await` in vanilla JavaScript) via macros. shadow-cljs's `js-await` being one of the well-written ones: https://github.com/thheller/shadow-cljs/blob/49fb078b834e64f...

Usage:

    (defn my-async-fn [foo]

Unclear what "rendering a webpage" entails exactly.

If you want to do frontend development, you can give shadow-cljs a try, the quickstart is pretty quick: https://github.com/thheller/shadow-cljs#quick-start

If you want to just render server-side HTML, something like compojure (HTTP routing) and hiccup (Clojure data -> HTML) is pretty easy and quick to get started with (https://gist.github.com/zehnpaard/2071c3f55ed319aa8528d54d90...).

If you want to generate HTML files to serve with nginx/whatever, you can just use hiccup and `(spit)` the resulting HTML to files on disk.

Hi pests, I don't think the criticism in the comments gives a full picture.

I wrote about a particular flavor of datalog, in common use today. [1] [2]. The earliest representation I know, which matches the syntax of my essay, was in SICP [3]

There's another, more academic form of datalog, which looks a lot more like prolog. Both have lots of similarities: both systems have a set of facts and rules. Both systems have can take a partially filled fact or rule, and find all matching facts. The more academic flavors of Datalog are useful for general logic, and particularly powerful for recursive questions. The variant I showed is more tailed for database queries.

[1] https://github.com/tonsky/datascript

There is also datascript as a similar option.

What's the use case for relic? Sounds similar to https://github.com/tonsky/datascript ?

This look nice !

Datascript seems to be another Datalog engine (in memory only)

https://github.com/tonsky/datascript

Inspired by past work: LINQ, inline-python, crepe, DataScript, Riffle.

An in-memory database like Datascript may be worth looking into. Otherwise you could take an indexing approach: put all the data into one big map indexed by some unique key, and have a bunch of supplementary indexes that are updated on insertion.