Software Alternatives & Startups

Oxyde ORM

High-performance async Python ORM with Rust core.

Oxyde ORM

Oxyde ORM Reviews and Details

This page is designed to help you find out whether Oxyde ORM is good and if it is the right choice for you.

Features & Specs

  1. Rust-powered core

    Oxyde is described as a Python ORM with a Rust core that handles SQL generation and query execution. This can reduce overhead compared with pure-Python ORMs, especially for query-heavy workloads.

  2. Pydantic-native models

    Models are built around Pydantic v2, so validation, serialization and type hints work without a separate schema layer. This fits well with FastAPI-style applications and cuts boilerplate.

  3. Async-first design

    The API is built for async/await, which suits modern async web frameworks and high-concurrency services without bolting async onto a sync design.

  4. Familiar Django-style API

    Its query interface is modeled on Django's ORM (filters, managers, expressive queries), so developers who know Django can pick it up quickly.

  5. Multi-database support and tooling

    It reportedly supports PostgreSQL, SQLite and MySQL and ships with a CLI and migrations, so it covers the common needs of a full ORM in one package.

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Is Oxyde ORM good? This is an informative page that will help you find out. Moreover, you can review and discuss Oxyde ORM here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.