Showing 8 open source projects for "debian gnu linux"

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    Neovim DBee

    Neovim DBee

    Interactive database client for Neovim

    Interactive database client for Neovim. This project aims to be as cross-platform as possible, but there are some limitations (for example some of the go dependencies only work on certain platforms). To address this issue, the client implementations are detached from the main logic and they register themselves to DBee backend on plugin start. This allows the use of build constraints, which we use to exclude certain client implementations on certain platforms. You can pass an optional table...
    Downloads: 2 This Week
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  • 2
    TRAK Metamodel

    TRAK Metamodel

    Tuples (triples) for TRAK architecture viewpoints and views

    The definition of the metamodel for TRAK (defines allowed AD elements and relationships i.e. tuples/ triples for the TRAK viewpoints and views). TRAK is a general systems-thinkers'/system engineering enterprise architecture framework. It is simple, user-friendly, pragmatic and not limited to IT. 100% triple-centric and semantically-sound. Forms basis for RDF + OWL ontology description - see https://trakmetamodel.sourceforge.io/vocab/TRAK_metamodel.html. Each TRAK metamodel element now has...
    Downloads: 2 This Week
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  • 3
    TRAK Viewpoints

    TRAK Viewpoints

    Specifications for TRAK architecture views

    The architecture viewpoints (specifications for architecture views iaw ISO 42010) for TRAK. TRAK is a general systems-thinkers'/system engineering enterprise architecture framework. It is simple, user-friendly, pragmatic and not limited to IT. 100% triple-centric and semantically-sound. Defines a total of 24 viewpoints. The ones needed are selected by taking the task sponsor's concerns and matching them to the typical concerns that each TRAK viewpoint addresses. The triples that address...
    Downloads: 0 This Week
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  • 4
    Common Resource Grep - crgrep

    Common Resource Grep - crgrep

    Common Resource Grep

    CRGREP searches for matching text in databases, various document formats, archives and other difficult to access resources. A command line tool for name and content text matching in database tables, plain files, MS Office documents, PDF, archives, MP3 audio, image meta-data, scanned documents, maven dependencies and web resources. CRGREP will search resources within resources of any arbitrary combination or depth, so text within a document within a zip archive, and so on. Here you...
    Downloads: 2 This Week
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  • 5
    Blazegraph (powered by bigdata)

    Blazegraph (powered by bigdata)

    Fast, scalable, robust graph database platform

    Blazegraph has moved to Github. Please see https://github.com/blazegraph/database/.
    Downloads: 1 This Week
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  • 6

    STON

    Translator of SBGN PD and AF maps into Neo4j graph database.

    STON, Sbgn TO Neo4j, is a Java-based framework that imports and translates metabolic, signalling and gene regulatory pathways presented in SBGN (Systems Biology Graphical Notation, http://www.sbgn.org) Process Description (PD) and Activity Flow (AF) languages to a graph-oriented format compatible with Neo4j (http://neo4j.com/). STON1.2 allows also to link common processes between two different PD maps. This framework uses two sets of libraries: LibSBGN and Neo4j...
    Downloads: 0 This Week
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  • 7

    reco4j-neo4j

    Reco4j is a graph-based recommendation engine, this is the neo4j impl

    Reco4j is an open source project aims at developing a recommendation framework based on graph data sources. We choose graph databases for several reasons. They are NoSQL databases, so "schemaless". This means that it is possible to extend the basic data structure with intermediate information, i.e. similarity value between item and so on. Moreover, since every information is expressed with properties, nodes and relations, the recommendation process can be customized to work on every...
    Downloads: 2 This Week
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  • 8

    reco4j-core

    Reco4j is a graph-based recommendation engine

    Reco4j is an open source project aims at developing a recommendation framework based on graph data sources. We choose graph databases for several reasons. They are NoSQL databases, so "schemaless". This means that it is possible to extend the basic data structure with intermediate information, i.e. similarity value between item and so on. Moreover, since every information is expressed with properties, nodes and relations, the recommendation process can be customized to work on every...
    Downloads: 0 This Week
    Last Update:
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