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Souffle Alternatives
Similar projects and alternatives to souffle
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coq
Coq is a formal proof management system. It provides a formal language to write mathematical definitions, executable algorithms and theorems together with an environment for semi-interactive development of machine-checked proofs.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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cozo
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
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differential-datalog
DDlog is a programming language for incremental computation. It is well suited for writing programs that continuously update their output in response to input changes. A DDlog programmer does not write incremental algorithms; instead they specify the desired input-output mapping in a declarative manner.
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logica
Logica is a logic programming language that compiles to SQL. It runs on Google BigQuery, PostgreSQL and SQLite.
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xtdb
An immutable database for application development and time-travel data compliance, with SQL and XTQL. Developed by @juxt
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language-incubator
Learning compilers, interpreters, code generation, virtual machines, assemblers, JITs, etc.
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better souffle alternative or higher similarity.
souffle reviews and mentions
Posts with mentions or reviews of souffle.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-10-21.
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Not all Graphs are Trees
There's Souffle[1] that can synthesize C++ for you that you then compile with the rest of your C++.
[1]: https://souffle-lang.github.io/
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A Logic Language for Distributed SQL Queries
> In fact, we could have used Datalog to achieve our data goals — but that would mean we have to build our own Datalog implementation, backing data store, etc. We don’t want to do that.
Surprising that creating a whole new language made more sense then a backend. I wonder if they did a proof of concept with an existing logic system like Souffle¹ or Rel² first.
¹ https://github.com/souffle-lang/souffle
² https://relational.ai/blog/rel
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Using_Prolog_as_the_AST
Consider using Datalog (the incredible subset of Prolog) for this perfect use case. Compared to Prolog, you get:
1. Free de-duplication. No more debugging why a predicate is returning the same result more than once.
2. Commutativity. Order of predicates does not change the result. Finally, true logic programming!
3. Easy static analysis. There are many papers that describe how to do points-to analysis (and other similar techniques) with Datalog rules that fit on a single page :O
Souffle[0] is a mature Datalog that is highly performant and has many nice features. I highly recommend playing with it!
[0] https://souffle-lang.github.io
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If given a list of properties/definitions and relationship between them, could a machine come up with (mostly senseless, but) true implications?
Still, there are many useful tools based on these ideas, used by programmers and mathematicians alike. What you describe sounds rather like Datalog (e.g. Soufflé Datalog), where you supply some rules and an initial fact, and the system repeatedly expands out the set of facts until nothing new can be derived. (This has to be finite, if you want to get anywhere.) In Prolog (e.g. SWI Prolog) you also supply a set of rules and facts, but instead of a fact as your starting point, you give a query containing some unknown variables, and the system tries to find an assignment of the variables that proves the query. And finally there is a rich array of theorem provers and proof assistants such as Agda, Coq, Lean, and Twelf, which can all be used to help check your reasoning or explore new ideas.
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Introduction to Datalog
It's true that this SPARQL-inspired view of Datalog as a triplestore query language is quite a narrow interpretation compared to something closer to the academic Prolog roots like https://souffle-lang.github.io/ - what do you feel are the most important differences?
- Systematic, Ontological, Undiscovered Fact Finding Logic Engine
- Soufflé • a Datalog Synthesis Tool for Static Analysis
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Show HN: Cozo – new Graph DB with Datalog, embedded like SQLite, written in Rust
Very cool! I love the sqlite install everywhere model.
Could you compare use case with Souffle? https://souffle-lang.github.io/
I'd suggest putting the link to the docs more prominently on the github page
Is the "traditional" datalog `path(x,z) :- edge(x,y), path(y,z).` syntax not pleasant to the modern eye? I've grown to rather like it. Or is there something that syntax can't do?
I've been building a Datalog shim layer in python to bridge across a couple different datalog systems https://github.com/philzook58/snakelog (including a datalog built on top of the python sqlite bindings), so I should look into including yours
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Ask HN: What are some interesting examples of Prolog?
TerminusDB CTO here.
Echoing what triska said, CLP(ℤ) and friends are some of the most under-appreciated aspects of prolog implementations.
I'm amazed that programmers still don't have access to CLP when trying to do scheduling and planning solutions.
As an example in practice, what if you want to know about a transaction in which a number of entities transitively had holdings in one of the beneficiaries of the transaction at that particular time. The date window is not known, and the date windows are important in the ownership chain as well as the transactions that are being undertaken.
With CLP(FD) you can ask for a window of time, and the solution will zoom in on an appropriate time window which exists for the entire chain and match the time of the transaction.
Now try to do this query in SQL. It's almost impossibly hard.
I can't wait until I have the time to implement constraint variables for TerminusDB, but at the minute we are still working on more prosaic features.
Aside from that there are very interesting program correctness and optimisation systems which are based on prolog (usually a datalog). For instance Soufflé: https://souffle-lang.github.io
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A note from our sponsor - SaaSHub
www.saashub.com | 6 May 2024
Stats
Basic souffle repo stats
12
865
7.6
about 1 month ago
souffle-lang/souffle is an open source project licensed under Universal Permissive License v1.0 which is an OSI approved license.
The primary programming language of souffle is C++.
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