Showing 4 open source projects for "patterns"

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    MongoDB Atlas runs apps anywhere

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  • 1
    SQLAlchemy

    SQLAlchemy

    The Database Toolkit for Python

    SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. SQLAlchemy provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language. An industrial strength ORM, built from the core on the identity map, unit of work, and data mapper patterns. These patterns allow the transparent persistence of objects using a declarative configuration system. Domain models can be constructed and manipulated naturally, and changes are synchronized with the current transaction automatically. ...
    Downloads: 40 This Week
    Last Update:
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  • 2
    Advanced Alchemy

    Advanced Alchemy

    A carefully crafted, thoroughly tested, optimized companion library

    advanced-alchemy is an opinionated ORM toolkit built on SQLAlchemy and designed for integration with the Litestar web framework. It simplifies common ORM patterns such as CRUD, pagination, and async support while providing extensibility and best practices out of the box. It’s designed to accelerate backend development for modern Python web apps.
    Downloads: 6 This Week
    Last Update:
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  • 3
    Motor

    Motor

    The async Python driver for MongoDB and Tornado or asyncio

    Motor is an asynchronous Python driver for MongoDB that enables developers to work with MongoDB using non-blocking I/O patterns, making it ideal for high-performance and scalable applications. Built on top of Python’s Tornado and asyncio frameworks, Motor lets you issue database operations without blocking the event loop, enabling concurrency in web servers, real-time systems, and microservices. It provides a familiar API surface similar to the official synchronous PyMongo driver, so you can migrate or write MongoDB code in Python without having to learn a completely new interface. ...
    Downloads: 0 This Week
    Last Update:
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  • 4
    FAKE2DB

    FAKE2DB

    Create custom test databases that are populated with fake data

    Generate fake but valid data filled databases for test purposes using most popular patterns(AFAIK). Current support is sqlite, mysql, postgresql, mongodb, redis, CouchDB. The installation through pypi retrieves 'fake-factory' as a main dependency. db argument takes 6 possible options, sqlite, mysql, postgresql, mongodb, redis, CouchDB. name argument is OPTIONAL. When it is absent fake2db will name db's randomly. host argument is OPTIONAL.
    Downloads: 0 This Week
    Last Update:
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