Showing 5 open source projects for "slice"

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    PostgreSQL client and ORM for Golang

    PostgreSQL client and ORM for Golang

    Golang ORM with focus on PostgreSQL features and performance

    Basic types, integers, floats, string, bool, time.Time, net.IP, net.IPNet. All struct fields are nullable by default and zero values (empty string, 0, zero time, empty map or slice, nil ptr) are marshalled as SQL NULL. pg:",notnull" is used to add SQL NOT NULL constraint and pg:",use_zero" to allow Go zero values. sql.NullBool, sql.NullString, sql.NullInt64, sql.NullFloat64 and pg.NullTime. Structs, maps and arrays are marshalled as JSON by default. PostgreSQL multidimensional Arrays using array tag and Array wrapper. ...
    Downloads: 8 This Week
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  • 2
    sqlx

    sqlx

    general purpose extensions to golang's database/sql

    sqlx is a Go library that extends the standard database/sql package without replacing its underlying interfaces or programming model. Its database, transaction, statement, connection, and related types remain supersets of their standard-library equivalents. This allows existing database/sql applications to adopt additional functionality with relatively little restructuring. Query results can be mapped directly into structs, embedded structs, maps, and slices. Named parameters and named...
    Downloads: 3 This Week
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  • 3
    OLAP aggregation engine with MDX support, web interface (slice & dice) and relational database backend. See "Documentation" for more. Presentation: http://cubulus.sourceforge.net/. See online demo courtesy of Webfaction, http://alxtoth.webfactional.com
    Downloads: 0 This Week
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  • 4
    JPivot is a JSP custom tag library that renders an OLAP table and chart. Users can perform typical OLAP navigations like drill down, slice and dice. It uses Mondrian and XMLA as its OLAP engines.
    Downloads: 2 This Week
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  • 5
    BIOLAP - OLAP for Genome and Biology Data Sets. This project extends Mondrian OLAP to biology data sets. We provide tools to slice and dice genomic sequence similarities and more easily explore large genomic data sets.
    Downloads: 0 This Week
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