datahike VS rtnF

Datahike [0] provides similar functionality to datomic and is open source. It lacks some features however that Datomic does have [1].

[0]: https://github.com/replikativ/datahike

You can also consider other durable Datalog options like datahike or datalevin which can work either as lib (SQLite style) or in a client-server setup; if you want to play with bi-temporality XTDB is a rock solid option with very good support and documentation.

Check https://github.com/replikativ/datahike

Oh really interesting. I didn't know about that. I was actually going threw the old Mendat code base and was considering using that.

I would really like a pure Rust version of Datomic for embed use cases.

There is all also Datahike, that is going in that direction too. It is maintained and actively developed.

https://github.com/replikativ/datahike

Having an Datomic like store backed by something like this.

https://github.com/replikativ/datahike

Is an Open Source variant of Datomic.

Lambdaforge wants to eventually have this work with CRDTs.

Using the Matrix ecosystem for this is quite interesting as it solves many problems for you already.

Unlike some other commenters, I agree that graph models are usually a better fit for most data than relational models. There's been some interesting work in recent years developing this idea: in the Clojure world there's Datomic, XTDB, and a host of competitors, all of which build on work from Semantic Web/SPARQL/triplestores and logic programming. Some are even intended to be used as primary datastores: they support some amount of schema and constraints, have well-defined consistency and ACID guarantees, etc. This makes them unlike graph databases like Neo4J and others, which fill an architectural role more like Elasticsearch as a read-optimization tool. Here's an interesting talk making a case for triple-based databases.

Have a look at https://github.com/replikativ/datahike and https://github.com/replikativ/datahike-postgres

There is now a datahike linux native image preview available: https://github.com/replikativ/datahike/releases/tag/preview

And implemented as a full-on datastore queried via Datalog: https://github.com/replikativ/datahike

While i was researching on the possibility of using wiki software for ontology management back then on 2018, i just realized that "wiki is probably good for personal note taking". From there, at first, i forked pmwiki and modify its UI and UX, focusing it more for personal notetaking than a community wiki. Later, i completely rewrite everything from scratch, aiming for performance reasons (https://github.com/altilunium/rtnF). Now, i use it everyday for my personal use. In fact, this comment is drafted on rtnF first. HackerNews' textarea is too small for me to compose a long text.

Then, out there, coincidentally "networked note" application is booming. Roam Research, Obsidian, and even more : https://www.notion.so/Artificial-Brain-Networked-with-linear... . I dont know who is the actual first inventor. I think Roam popularized it first on the public.

Later, people start asking frequently "which notetaking app do you use?". The realization that people do need a notetaking app. Text editor and word processing software are not enough for notetaking. Because the former is intended just for editing a file and the latter is intended for producing printed document. Notetaking is different usecase. Well, even though the frequent answer like "i use pen and paper" "i use my own brain" is rampant on this kind of thread.

Whether on this is a fad or not, i think some people actually need this kind of app. But i doubt whether everyone need it or not. For me who usually research things, collect data from experiments, write down important texts from papers and articles, write down important information while attending online meetings. All of those can be stored and managed on this kind of app. Using text editor and word processing software for this kind of usecase will make your folder cluttered with files, it's hard to manage it.

>I wonder if this link-setting which is still a manual task would not get tedious over time. Then, I could imagine that finding content is still faster with a full-text search or question-answering DL models than clicking through all your links.

Link forces you to organize your notes, i think. Even though i agree that it get tedious over time.

Back then i used basic text editor to create personal notes. But over times, i got cluttered folder with a lot of .txt files.

Then i made this as a replacement, a web-based notetaking app. With WYSIWYG editor, support linking to other notes (wikilink), image paste support, basic formatting, autosaves.

https://github.com/altilunium/rtnF

Screenshot : https://github.com/altilunium/rtnF/blob/main/rtnf_screenshot...

https://github.com/altilunium/rtnF : Re-written from scratch

I'm still struggling to differentiate this from a wiki, since its main feature is still the [[WikiLink]]. The best thing i could think up for now is to modify the wiki's UI and UX for personal note taking usage. To create "networked-notetaking application". Pivoting my research goal from "organization-knowledge-management" to "personal-knowledge-management".

The idea of "knowledge-graph-based social networks" is cool, but dont you think that the "post + comment thread" pattern, the "interest group" pattern and the "one-to-one direct communication" pattern are irreplaceable in a social network ?

Even the wiki itself is using a rudimentary system to simulate those pattern on top of its knowledge graph structure. Lot of people, communicating together by editing the same single page, just like using a single blackboard together. (For example, see the "Talk" page on wikipedia)