awesome-rust-formalized-reasoning VS grakn

Compare awesome-rust-formalized-reasoning vs grakn and see what are their differences.

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awesome-rust-formalized-reasoning grakn
3 11
227 3,529
- 0.6%
0.0 0.0
5 days ago about 18 hours ago
MIT License GNU Affero General Public License v3.0
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.


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.


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
    8 projects | | 27 Apr 2023
  • Best Websites For Coders
    51 projects | | 25 Jan 2023
    TypeDB : A Strongly-typed Database
  • Fluree DB - A datomic like database that I just discovered
    3 projects | /r/Clojure | 18 Dec 2022
    How does it compare to, say grakn (renamed, I think?), or draph (, or Ontotext's GraphDB (, or Datomic?
  • Firebase is Dead: What is the Perfect Database in 2022?
    11 projects | | 10 Mar 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.
  • Ask HN: Why are relational DBs are the standard instead of graph-based DBs?
    7 projects | /r/programming | 3 Oct 2021
    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.
  • How Roche Discovered Novel Potential Gene Targets with TypeDB
    2 projects | | 10 Jun 2021
    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.
  • Why are the downloaded zip files not in scope?
    2 projects | /r/NixOS | 30 May 2021
    { 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-${typedbVersion}"; typedbDir = if stdenv.hostPlatform.isWindows then typedbDirWindows else if stdenv.isDarwin then typedbDirMac else typedbDirLinux; linuxSrc = builtins.fetchTarball { url = ""; sha256 = "15nwm2dr68p67c2xcqigs66gd679j1zr72gqv7qxgvflwyvyz8fb"; }; windowsSrc = fetchzip { url = ""; sha256 = "0vd66gfshkg697z07nhy957mwqzlli4r4pmn67hx58n9mkg024kq"; }; macSrc = fetchzip { url = ""; sha256 = "16hlfy6kh2rnvcralz206q13mghb0rv8wazpg6q3h324p5rdys54"; }; srcFolder = if stdenv.hostPlatform.isWindows then windowsSrc else if stdenv.isDarwin then macSrc else linuxSrc ; javaPatch = '' 20c20 < JAVA_BIN=java --- > JAVA_BIN=${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 = ""; license = licenses.gpl3Plus; platforms = platforms.all; maintainers = [ maintainers.haskie ]; }; }
  • Best Websites Every Programmer Should Visit
    54 projects | | 14 Mar 2021 : The Database for AI

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

topic-db - TopicDB is a topic maps-based semantic graph store (using SQLite for persistence)

asami - A graph store for Clojure and ClojureScript

datahike - A durable Datalog implementation adaptable for distribution.

Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

Kind - A next-gen functional language [Moved to:]

gremlin-scala - Scala wrapper for Apache TinkerPop 3 Graph DSL

minisat - Minisat Haskell bundle

cicada - Cicada Language

Formality - A modern proof language [Moved to:]

datascript - Immutable database and Datalog query engine for Clojure, ClojureScript and JS