gdlog VS treeedb

Compare gdlog vs treeedb and see what are their differences.

treeedb

Generate Soufflé Datalog types, relations, and facts that represent ASTs from a variety of programming languages. (by langston-barrett)
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gdlog treeedb
1 1
57 51
- -
6.0 7.9
about 1 month ago 19 days ago
Cuda Rust
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

gdlog

Posts with mentions or reviews of gdlog. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-03.

treeedb

Posts with mentions or reviews of treeedb. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-03.
  • GDlog: A GPU-Accelerated Deductive Engine
    16 projects | news.ycombinator.com | 3 Dec 2023
    https://github.com/topics/datalog?l=rust ... Cozo, Crepe

    Crepe: https://github.com/ekzhang/crepe :

    > Crepe is a library that allows you to write declarative logic programs in Rust, with a Datalog-like syntax. It provides a procedural macro that generates efficient, safe code and interoperates seamlessly with Rust programs.

    Looks like there's not yet a Python grammar for the treeedb tree-sitter: https://github.com/langston-barrett/treeedb :

    > Generate Soufflé Datalog types, relations, and facts that represent ASTs from a variety of programming languages.

    Looks like roxi supports n3, which adds `=>` "implies" to the Turtle lightweight RDF representation: https://github.com/pbonte/roxi

    FWIW rdflib/owl-rl: https://owl-rl.readthedocs.io/en/latest/owlrl.html :

    > simple forward chaining rules are used to extend (recursively) the incoming graph with all triples that the rule sets permit (ie, the “deductive closure” of the graph is computed).

    ForwardChainingStore and BackwardChainingStore implementations w/ rdflib in Python: https://github.com/RDFLib/FuXi/issues/15

    Fast CUDA hashmaps

    Gdlog is built on CuCollections.

    GPU HashMap libs to benchmark: Warpcore, CuCollections,

    https://github.com/NVIDIA/cuCollections

    https://github.com/NVIDIA/cccl

    https://github.com/sleeepyjack/warpcore

    /? Rocm HashMap

    DeMoriarty/DOKsparse:

What are some alternatives?

When comparing gdlog and treeedb you can also consider the following projects:

cccl - CUDA C++ Core Libraries

NMT4RDFS - Neural Machine Translation for RDFS reasoning: code and datasets for "Deep learning for noise-tolerant RDFS reasoning" http://www.semantic-web-journal.net/content/deep-learning-noise-tolerant-rdfs-reasoning-4

DOKSparse - sparse DOK tensors on GPU, pytorch

pydatalog - Fork of pyDatalog https://sites.google.com/site/pydatalog/

roxi - Reactive Reasoning

xsimd - C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, AVX512, NEON, SVE))

virtuoso-opensource - Virtuoso is a high-performance and scalable Multi-Model RDBMS, Data Integration Middleware, Linked Data Deployment, and HTTP Application Server Platform

FuXi - Chimezie Ogbuji's FuXi reasoner. NON-FUNCTIONING, RETAINED FOR ARCHIVAL PURPOSES. For working code plus version and associated support requirements see:

warpcore - A Library for fast Hash Tables on GPUs