grakn VS devdocs

TypeDB : A Strongly-typed Database

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?

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.

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.

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.

{ 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 ]; }; }

grakn.ai : The Database for AI

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

> I've started to preface all python searches with 'site:python.org'

You might find DevDocs to be useful: https://devdocs.io/

DevDocs - Aggregates documentation from various sources into a single, easy-to-navigate interface, covering frontend and backend technologies. DevDocs

DevDocs, an offline API documentation browser, supports multilingual, offering developers a quick and efficient way to access tech docs. From front-end to back-end and mobile development, it integrates official documentation, providing a sleek, user-friendly interface.

Environmental lighting conditions rule the day! I have astigmatism and I prefer bright backgrounds; #000 text on #fff backgrounds works great for me, but that's because I work in a room lit by a 250W 30,000 lumen corn-cob LED bulb[0] that makes my small office as bright on the inside as the shaded ground from a tree on an overcast day (which is quite bright compared to usual indoor lighting). In a room that bright, high contrast text works great and is highly readable, with "dark mode" often looking washed out and muddy. Even small reductions in contrast (such as what https://devdocs.io does with text of #333 in light mode) can make me notice and wish for greater contrast.

[0] - https://www.benkuhn.net/lux/

Here's how to add a new scraper: https://github.com/freeCodeCamp/devdocs/blob/main/.github/CO...

Or open an issue and wait for somebody else to implement the scraper.

Imagine a single, intuitive platform where you can access comprehensive documentation for a vast array of programming languages, frameworks, libraries, and tools. That's the magic of DevDocs. This exceptional resource eliminates the frustration of juggling multiple tabs and websites in your quest for information. DevDocs brings everything together into one easy-to-use interface.

Mosh for a stable connection, Offline documentation such as msdn, wikipedia (via kiwi etc), zeal for local access to https://devdocs.io/; Self host tabby for ai autocompletion. For many shell programs check what mulinux was using back then, and what are the modern replacements such as elinks instead of links. Mutt for mail, for irc doesn't matter much, use a desktop one but setup a bouncher on a vps, I used to have one on a raspberry pi 1, you can use rss reader for reddit (not sure if still works) and blogs

1.DEVDOCS.IO: -- DevDocs.IO