scryer-prolog
differential-datalog
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scryer-prolog | differential-datalog | |
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42 | 22 | |
1,888 | 1,333 | |
- | 0.8% | |
9.7 | 0.0 | |
9 days ago | 10 months ago | |
Rust | Java | |
BSD 3-clause "New" or "Revised" License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
scryer-prolog
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The Shen Programming Language
thank you! the scryer community deserves much of the credit too. everyone is welcome and encouraged to join us at https://github.com/mthom/scryer-prolog! some exciting plans in the pipe
- Appreciating Clpz_t/2
- Advent of Code 2023 is nigh
- Scryer Prolog version 0.9.3 is out
- Announcing Basic WebAssembly support in Scryer Prolog
- Basic WebAssembly Support in Scryer Prolog
- Scryer-Prolog 0.9.2
- Release v1.1.0 of PostgreSQL-Prolog
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Djot is a light markup syntax
Djot is the markup syntax that is used for the documentation of Scryer Prolog, using a parser written in Prolog:
https://github.com/aarroyoc/djota
It works well so far. One of the few limitations I noticed so far pertains to the formatting of tables. For instance, consider the table used in library(format) to describe control sequences:
https://github.com/mthom/scryer-prolog/blob/b0566e41503a6c8d...
It contains several entries that span multiple lines, yet are meant to denote only a single row of the table, such as:
% | `~Nr` | where N is an integer between 2 and 36: format the |
- The First Annual Scryer Prolog Meetup
differential-datalog
- DDlog: A programming language for incremental computation
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Feldera – a more performant streaming database based on Z-sets
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.
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Why Are There No Relational DBMSs? [pdf]
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)
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Differential Datalog: a programming language for incremental computation
Tutorial which I didn’t see linked in the README: https://github.com/vmware/differential-datalog/blob/master/d...
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Show HN: Cozo – new Graph DB with Datalog, embedded like SQLite, written in Rust
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.
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Help wanted!
Sort of related, in my mind at least, is differential dataflow, e.g. https://github.com/vmware/differential-datalog
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Datalog in JavaScript
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/
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Call for Help - Open Source Datom/EAV/Fact database in Rust.
Rust related https://github.com/vmware/differential-datalog
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Anything like Svelte/Jetpack Compose for Haskell?
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.
What are some alternatives?
swipl-devel - SWI-Prolog Main development repository
timely-dataflow - A modular implementation of timely dataflow in Rust
logica - Logica is a logic programming language that compiles to SQL. It runs on Google BigQuery, PostgreSQL and SQLite.
materialize - The data warehouse for operational workloads.
differential-dataflow - An implementation of differential dataflow using timely dataflow on Rust.
tau-prolog - An open source Prolog interpreter in JavaScript
datalevin - A simple, fast and versatile Datalog database
prolog - The only reasonable scripting engine for Go.
otp - Erlang/OTP
diagnostics - Diagnostic tools for timely dataflow computations