Showing 8 open source projects for "sql database engine"

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  • 1
    Rbatis

    Rbatis

    Rust High Performance compile-time ORM(RBSON based)

    A highly Performant, Safe, Dynamic SQL(Compile-time) ORM framework written in Rust, inspired by Mybatis and MybatisPlus. Zero cost Dynamic SQL, implemented using (proc-macro,compile-time, Cow (Reduce unnecessary cloning)) techniques, don't need ONGL engine(mybatis) Free deserialization, Auto Deserialize to any struct(Option,Map,Vec...) High performance, Based on Future, with async_std/tokio, single threaded benchmark can easily achieve 200,000 QPS. logical deletes, pagination, py-like SQL and basic Mybatis functionalities. ...
    Downloads: 3 This Week
    Last Update:
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  • 2
    pg_graphql

    pg_graphql

    GraphQL support for PostgreSQL

    pg_graphql is a PostgreSQL extension that enables querying the database with GraphQL using a single a SQL function. The extension reflects a GraphQL schema from the existing SQL schema and exposes it through a SQL function, graphql. resolve(...). This enables any programming language that can connect to PostgreSQL to query the database via GraphQL with no additional servers, processes, or libraries.
    Downloads: 2 This Week
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  • 3
    Polars

    Polars

    Dataframes powered by a multithreaded, vectorized query engine

    Polars is a high-performance, multi-language DataFrame library built in Rust using Apache Arrow. It delivers blazing-fast, vectorized, and parallel data manipulation with both eager and lazy execution, making it an excellent tool for data processing in Python, Rust, Node.js, R, and SQL contexts.
    Downloads: 4 This Week
    Last Update:
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  • 4
    Diesel

    Diesel

    A safe, extensible ORM and Query Builder for Rust

    Diesel is the most productive way to interact with databases in Rust because of its safe and composable abstractions over queries. We don’t want to waste time tracking down runtime errors. We achieve this by having Diesel eliminate the possibility of incorrect database interactions at compile time. Diesel offers a high level query builder and lets you think about your problems in Rust, not SQL. Our focus on zero-cost abstractions allows Diesel to run your query and load your data even faster than C. Unlike Active Record and other ORMs, Diesel is designed to be abstracted over. Diesel enables you to write reusable code and think in terms of your problem domain and not SQL.
    Downloads: 20 This Week
    Last Update:
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  • 5
    GritQL

    GritQL

    GritQL is a query language for searching, linting, and modifying code

    GritQL is a query language designed to facilitate human-AI collaboration by providing an intuitive interface for querying and retrieving structured data. It acts as a bridge between AI models and databases, enabling natural language interaction with structured data sources.
    Downloads: 0 This Week
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  • 6
    Rustpad

    Rustpad

    Efficient and minimal collaborative code editor, self-hosted

    Rustpad is a minimal open-source collaborative code editor for real-time writing in the browser. It uses operational transformation so multiple users can edit the same document at the same time without overwriting each other. The server is written in Rust, while the front end uses TypeScript, React, WebAssembly, and the Monaco editor. Rustpad is designed to be self-hosted and can run without a database by keeping documents in memory. It also supports optional SQLite persistence for retaining...
    Downloads: 0 This Week
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  • 7
    Mangle

    Mangle

    Go library for Datalog-style logical reasoning and domain modeling

    ...Unlike SQL, Mangle’s declarative syntax naturally supports recursion and modular program structure, making it suitable for representing hierarchical or interconnected datasets like dependency graphs or knowledge graphs. The project’s implementation is provided as a Go library, enabling developers to embed Mangle directly into their applications or services, such as database-like gRPC systems.
    Downloads: 0 This Week
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  • 8
    Synth

    Synth

    The Declarative Data Generator

    ...Synth uses a declarative configuration language that allows you to specify your entire data model as code. Synth can import data straight from existing sources and automatically create accurate and versatile data models. Synth supports semi-structured data and is database agnostic, playing nicely with SQL and NoSQL databases. Synth supports generation for thousands of semantic types such as credit card numbers, email addresses, and more.
    Downloads: 0 This Week
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