Showing 4 open source projects for "basic-256 for mac"

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  • 1
    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...
    Downloads: 1 This Week
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  • 2
    RepoDB

    RepoDB

    A hybrid ORM library for .NET.

    RepoDB is an open-source .NET ORM library that bridges the gaps of micro-ORMs and full-ORMs. It helps you simplify the switch-over of when to use the BASIC and ADVANCE operations during the development. Like with any other ORMs, RepoDB does provide the preliminary methods needed for your basic operations. The good thing is, it also does provide the operations that are needed to cater your edge-cases like 2nd-Layer Cache, Tracing, Repositories, Property Handlers, and Batch/Bulk Operations. If...
    Downloads: 0 This Week
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  • 3
    A simple to use and basic orm library without fuss. Avoids development issues arising from dynamically constructed SQL. Doesn't render the JDBC architecture inaccessible. Doesn't initiate the proliferation of largely pointless POJO libraries.
    Downloads: 0 This Week
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  • 4
    The Tenor Framework is a set of utilities to improve development of web projects, although it can be used on desktop projects. The main goal is to simplify mapping relational tables to entities, in a simple and maintainable way.
    Downloads: 0 This Week
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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery turns your data warehouse into an AI platform. No new languages required.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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