awesome-rust-formalized-reasoning
An exhaustive list of all Rust resources regarding automated or semi-automated formalization efforts in any area, constructive mathematics, formal algorithms, and program verification. (by newca12)
grakn
TypeDB: the polymorphic database powered by types (by graknlabs)
Our great sponsors
awesome-rust-formalized-reasoning | grakn | |
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3 | 11 | |
261 | 3,669 | |
- | 0.8% | |
7.7 | 9.3 | |
12 days ago | about 15 hours ago | |
Java | ||
MIT License | Mozilla Public License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
awesome-rust-formalized-reasoning
Posts with mentions or reviews of awesome-rust-formalized-reasoning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-17.
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CreuSAT: Formally verified SAT solver written in Rust and verified with Creusot
Unsurprisingly, we can see a growing interest in the Rust ecosystem regarding formal verification. I try to keep https://github.com/newca12/awesome-rust-formalized-reasoning up to date. I will add CreuSAT shortly.
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Kani Rust Verifier – a bit-precise model-checker for Rust
This dispersed progress is the sign of an absence of maturity but the exploration of this space with Rust is very promising : https://github.com/newca12/awesome-rust-formalized-reasoning
- Awesome-Rust-Formalized-Reasoning
grakn
Posts with mentions or reviews of grakn.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-27.
- Datomic Is Now Free
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Best Websites For Coders
TypeDB : A Strongly-typed Database
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Fluree DB - A datomic like database that I just discovered
How does it compare to, say grakn (renamed https://vaticle.com/, I think?), or draph (https://dgraph.io/), or Ontotext's GraphDB (https://www.ontotext.com/products/graphdb/), or Datomic?
- Typedb
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Firebase is Dead: What is the Perfect Database in 2022?
Edge database looks pretty freakin awesome. It basically seems to re-write SQL and Graph databases together to create some new-ish programming language. It takes care of all the problems GraphQL has, and seems to be built separately but on top of postgres. It is really something unique, beautiful, and powerful. They don't have a security layer yet or a cloud hosting environment, but both are in the works. However, postgres still suffers from the scalable problems we all know. If you like unique fetching and strong typing, also check out TypeDB. It doesn't make its own list number because there is not cloud version, middleware, etc. However, worth checking out.
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Ask HN: Why are relational DBs are the standard instead of graph-based DBs?
If you find yourself limited by triplestores, there's also a new growing area of development in knowledge engines, which allow edges-of-edges, entailed relations, hypergraph relations, and more of the power you'd get from full logic programming. TypeDB (recently renamed from Grakn) is an example of that type of database.
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How Roche Discovered Novel Potential Gene Targets with TypeDB
In the story to follow, David presents how his team at Roche was able to identify potential novel targets that were not identified by Open Targets as highly ranked. This was made possible with TypeDB, which his team used to store the relevant data and then find underlying biological evidence for those new targets.
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Why are the downloaded zip files not in scope?
{ stdenv, lib, openjdk,typedbHome ? "~/.typedb_home", fetchzip}: let typedbVersion = "2.1.1"; typedbDirLinux = "typedb-all-linux-${typedbVersion}"; typedbDirMac = "typedb-all-mac-${typedbVersion}"; typedbDirWindows = "typedb-all-windows-${typedbVersion}"; typedbDir = if stdenv.hostPlatform.isWindows then typedbDirWindows else if stdenv.isDarwin then typedbDirMac else typedbDirLinux; linuxSrc = builtins.fetchTarball { url = "https://github.com/vaticle/typedb/releases/download/2.1.1/typedb-all-linux-2.1.1.tar.gz"; sha256 = "15nwm2dr68p67c2xcqigs66gd679j1zr72gqv7qxgvflwyvyz8fb"; }; windowsSrc = fetchzip { url = "https://github.com/vaticle/typedb/releases/download/2.1.1/typedb-all-windows-2.1.1.zip"; sha256 = "0vd66gfshkg697z07nhy957mwqzlli4r4pmn67hx58n9mkg024kq"; }; macSrc = fetchzip { url = "https://github.com/vaticle/typedb/releases/download/2.1.1/typedb-all-mac-2.1.1.zip"; sha256 = "16hlfy6kh2rnvcralz206q13mghb0rv8wazpg6q3h324p5rdys54"; }; srcFolder = if stdenv.hostPlatform.isWindows then windowsSrc else if stdenv.isDarwin then macSrc else linuxSrc ; javaPatch = '' 20c20 < JAVA_BIN=java --- > JAVA_BIN=${openjdk}/bin/java ''; in stdenv.mkDerivation rec { pname = "typedb"; version = typedbVersion; src = srcFolder; phases = [ "installPhase" ]; buildDepends = [ openjdk ]; installPhase = '' echo "here" # added for debugging ls -lah # " echo "--" # " #patch before install echo "${javaPatch}" > typedb_java.patch patch ./${typedbDir}/typedb typedb_java.patch mkdir $out cp -r ./${typedbDir} $out # add a wrapper script to $out that will move typedb to $typedb # this is necessary because typedb needs a writable environment echo " # on the first start copy everything to typedbHome if [ ! -f ${typedbHome}/typedb ]; then mkdir -p ${typedbHome}; cp -r $out/${typedbDir}/* ${typedbHome}; # correct permissions so that typedb and the user can write there chmod -R u+rw ${typedbHome} chmod u+x ${typedbHome}/typedb fi; ${typedbHome}/typedb \$@; " > $out/typedb chmod +x $out/typedb ''; doCheck = true; meta = with lib; { description = "TypeDB is a distributed knowledge graph: a logical database to organise large and complex networks of data as one body of knowledge."; longDescription = '' TypeDB is a distributed knowledge graph: a logical database to organise large and complex networks of data as one body of knowledge. TypeDB provides the knowledge engineering tools for developers to easily leverage the power of Knowledge Representation and Automated Reasoning when building complex systems. Ultimately, TypeDB serves as the knowledge-base foundation for intelligent systems. ''; homepage = "https://www.grakn.ai/"; license = licenses.gpl3Plus; platforms = platforms.all; maintainers = [ maintainers.haskie ]; }; }
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Best Websites Every Programmer Should Visit
grakn.ai : The Database for AI
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Need Graph Db Recommendations Lightweight Neo4j
Give the open-source Grakn a look as well (full transparency: I work there), it is an abstraction over a built in-house hypergraph storage engine and persisted layer using RocksDB. It's a logical database with a reasoning engine at the database level. https://github.com/graknlabs/grakn
What are some alternatives?
When comparing awesome-rust-formalized-reasoning and grakn you can also consider the following projects:
kani - Kani Rust Verifier
datalevin - A simple, fast and versatile Datalog database
Kind - A next-gen functional language [Moved to: https://github.com/Kindelia/Kind2]
asami - A graph store for Clojure and ClojureScript
cicada - Cicada Language
topic-db - TopicDB is a topic maps-based semantic graph store (using SQLite for persistence)
Formality - A modern proof language [Moved to: https://github.com/kind-lang/Kind]
datahike - A durable Datalog implementation adaptable for distribution.
minisat - Minisat Haskell bundle
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
opennars - OpenNARS for Research 3.0+
gremlin-scala - Scala wrapper for Apache TinkerPop 3 Graph DSL
awesome-rust-formalized-reasoning vs kani
grakn vs datalevin
awesome-rust-formalized-reasoning vs Kind
grakn vs asami
awesome-rust-formalized-reasoning vs cicada
grakn vs topic-db
awesome-rust-formalized-reasoning vs Formality
grakn vs datahike
awesome-rust-formalized-reasoning vs minisat
grakn vs Serpent.AI
awesome-rust-formalized-reasoning vs opennars
grakn vs gremlin-scala