entish
logica
entish | logica | |
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7 | 19 | |
89 | 1,685 | |
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1.8 | 9.1 | |
over 2 years ago | 11 days ago | |
TypeScript | Jupyter Notebook | |
MIT License | Apache License 2.0 |
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entish
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I'm designing an open source Game Master's Assistant software for my Bachelors Thesis, and I need YOUR help! :D
Not exactly a virtual table top but check out https://github.com/etherealmachine/entish. This is a shameless plug, because it's a programming language I wrote for expressing rpg rules in machine readable format.
- Entish – a declarative Datalog-like language for formal RPG rules
- Entish is a declarative Datalog-like language for formal RPG rules
- Show HN: Entish: A language for implementing RPG rules in formal logic
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Entish: A programming language for implementing RPG rules in formal logic
What do you think about https://github.com/etherealmachine/entish/tree/main/src/rules/dungeon_world. The idea is to group rules into a folder, then have the Markdown files contain nice human-readable descriptions as well as the parseable rules. That's just an idea for now - it would probably require implementing a Markdown parser (do-able but a bit of work) and then grabbing the code blocks out of the parser.
logica
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Prolog language for PostgreSQL proof of concept
If you're interested in this I would also recommend you check out Logica[0], which is a datalog-like language that is explicitly made to compile to SQL queries.
0: https://logica.dev/
- Logica
- New welcome page for Logica language
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Introduction to Datalog
> I guess the intention is to be better than SQL but then I was left with "under which circumstances?"
Excellent question.
Two of the most common use cases for databases are "transactional processing" (manipulating small numbers of rows in real time) and "analytical processing" (querying enormous numbers of rows, typically in a read-only fashion).
SQL is generally fine for transactional workloads.
But analytical queries sometimes involve multi-page queries, with lots of JOINs and CTEs. And these queries are often automatically generated.
And once you start writing actual multi-page "programs" in SQL, you may decide that it's a fairly clunky and miserable programming language. What Datalog typically buys you is a way to cleanly decompose large queries into "subroutines." And it offers a simpler syntax for many kinds of complex JOINs.
Unfortunately, there isn't really a standard dialect of Datalog, or even a particular dialect with mainstream traction. So choosing Datalog is a bit of a tradeoff: does it buy you enough, for your use case, that it's worth being a bit outside the mainstream? Maybe! But I'd love to see something like Logica gain more traction: https://logica.dev/
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Mangle, a programming language for deductive database programming
Interesting; a Google engineer previously published a Datalog variant for BigQuery: https://logica.dev/
This new language seems similar to differential-Datalog (which is sadly in maintenance mode): https://news.ycombinator.com/item?id=33521561
- Show HN: PRQL 0.2 – Releasing a better SQL
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Show HN: PRQL – A Proposal for a Better SQL
Looks pretty cool. I'd be interested if the README had a comparison with Google's Logica (https://github.com/EvgSkv/logica)
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PathQuery, Google's Graph Query Language
Oh wow that is neat!
And yes, this kind of thing is why datalog is a lot more amenable to fast query plans & runtimes than prolog. This part is especially cool: https://github.com/EvgSkv/logica/blob/main/compiler/dialects...
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Thought about Logica: Google new programming language that compiles to SQL ?
Google new programming Language that compiles to SQL (Support BigQuery and Postgres) feels very exciting. Blog: https://opensource.googleblog.com/2021/04/logica-organizing-your-data-queries.html Github: https://github.com/EvgSkv/logica
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Google Logica Aims To Make SQL Queries More Reusable and Readable
Going to be? It already is. In fact, one thing the article misses is right there at the bottom of the project page: