miso VS differential-datalog

Patching jsaddle by applying this commit made JSaddle usable in Firefox for me, but it has the downside that preventDefault/stopPropagation no longer work (see this issue for more info).

Miso does support jsaddle, docs mention this under the "Live reload with jsaddle" section, although it could be more prominent.

For those interested in DOM-related benchmarks using GHCJS. Miso has some benchmarks here: https://krausest.github.io/js-framework-benchmark/current.html (Ctrl+F `miso`)

ghcjs is the way to go for you, and soon it might be asterius. i do not know how hard it is to set ghcjs up without a framework. but frameworks like obelisk (based on reflex-dom), shpadoinkle, and miso automate that for. i personally like obelisk for its functional reactive programming but it can get awkward and get in your way. so if gui programming is just a means to the end of this one small application and you are not really interested in it nor functional reactive programming, shpadoinkle or miso might suit you better. miso implements the elm architecture (also "TEA", "functional model view controller") and shpadoinkle implements something directly equivalent to the elm architecture. but shpadoinkle achieves more composable widgets by minimalizing the elm architecture. so i recommend shpadoinkle for its better concept although miso is more mature.

Hi,

> I wonder if it lives up to the hype.

We do think so! (disclaimer: I'm a co-founder at Feldera)

To give some more background: We are co-designing/trialing feldera with several industry/enterprise partners from different domains. Our core team also built differential datalog (https://github.com/vmware/differential-datalog) in the past. And while ddlog is used quite successfully in products today, we believe the many lessons we learned with ddlog will help us to build an even better continuous analytics platform. FYI our code is open-source at https://github.com/feldera/feldera if you'd like to try it out.

Also feel free to join our community slack channel (https://www.feldera.com/slack/) if you have more questions.

The relational model (and generally working at the level of sets/collections, instead of the level of individual values/objects) actually makes it easier to have this kind of incremental computation in a consistent way, I think.

There's a bunch of work being done on making relational systems work this way. Some interesting reading:

- https://www.scattered-thoughts.net/writing/an-opinionated-ma...

- https://materialize.com/ which is built on https://timelydataflow.github.io/differential-dataflow/, which has a lot of research behind it

- Which also can be a compilation target for Datalog: https://github.com/vmware/differential-datalog

- Some prototype work on building UI systems in exactly the way you describe using a relational approach: https://riffle.systems/essays/prelude/ (and HN discussion: https://news.ycombinator.com/item?id=30530120)

(There's a lot more too -- I have a hobby interest in this space, so I have a small collection of links)

Tutorial which I didn’t see linked in the README: https://github.com/vmware/differential-datalog/blob/master/d...

This is amazing!

Have you looked at differential-datalog? It's rust-based, maintained by VMWare, and has a very rich, well-typed Datalog language. differential-datalog is in-memory only right now, but could be ideal to integrate your graph as a datastore or disk spill cache.

https://github.com/vmware/differential-datalog

Sort of related, in my mind at least, is differential dataflow, e.g. https://github.com/vmware/differential-datalog

It’s fascinating to see so many different parties converging on Datalog for reactive apps & UI.

- There are several such talks at https://www.hytradboi.com/ (happening this Friday)

- Roam Research and its clones Athens, Logseq, use Datascript / ClojureScript https://github.com/tonsky/datascript

- differential-datalog isn’t an end-to-end system, but is highly optimized for quick reactivity https://github.com/vmware/differential-datalog

- Datalog UI is a Typescript port of some of differential-datalog’s ideas https://datalogui.dev/

Rust related https://github.com/vmware/differential-datalog

Actually, that makes me wonder whether or not differential datalog falls under that umbrella, and if it could be applied in the same way Compose is.