Show HN: Oxyde – Pydantic-native async ORM with a Rust core

Re:Show HN: Oxyde – Pydantic-native async ORM with a Rust core by throwawayffffas on Friday March 13, 2026 @09:57AM (#47364542)

Lol I never knew django orm is faster than SQLAlchemy. But having used both that makes sense.

> Why Rust? ... Rust handles the database plumbing. Queries are built as an IR in Python, serialized via MessagePack, sent to Rust which generates dialect-specific SQL, executes it, and streams results back. Speed is a side effect of this split, not the goal.

Nice.

So what does it take to deploy this, dependency wise?

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Re:Show HN: Oxyde – Pydantic-native async ORM with a Rust core by mr_Fatalyst on Friday March 13, 2026 @10:04AM (#47364632)

Just pip install oxyde, that's it. The Rust core (oxyde-core) ships as pre-built wheels for Linux, macOS, and Windows, so no Rust toolchain needed. Python-side dependencies are just pydantic, msgpack, and typer for the CLI. Database drivers are bundled in the Rust core (uses sqlx under the hood), so you don't need to install asyncpg/aiosqlite/etc separately either.

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Re:Show HN: Oxyde – Pydantic-native async ORM with a Rust core by unrealhoang on Monday March 16, 2026 @09:59PM (#47407675)

a bit tangent question: the communication between Python & Rust, could the pyo3 ser/de of Python objects be better than MsgPack?

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[dead]

Re:Show HN: Oxyde – Pydantic-native async ORM with a Rust core by zbentley on Tuesday March 17, 2026 @10:43AM (#47413404)

I’m curious: why was this marked dead?

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Re:Show HN: Oxyde – Pydantic-native async ORM with a Rust core by kstrauser on Monday March 16, 2026 @06:04PM (#47405588)

> Lol I never knew django orm is faster than SQLAlchemy.

I don’t believe that for a second. Both are wonderful projects, but raw performance was never one of Django ORM’s selling points.

I think its real advantage is making it easy to model new projects and make efficient CRUD calls on those tables. Alchemy’s strong point is “here’s an existing database; let users who grok DB theory query it as efficiently and ergonomically as possible.”

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Re:Show HN: Oxyde – Pydantic-native async ORM with a Rust core by mr_Fatalyst on Monday March 16, 2026 @06:23PM (#47405820)

I was surprised too when I saw the results. The benchmarks test standard ORM usage patterns, not the full power of any ORM. SQLAlchemy is more flexible, but that flexibility comes with some overhead. That said, the ORM layer is rarely the bottleneck when working with a database. The benchmarks were more about making sure that all the Pydantic validation I added comes for free, not about winning a speed race.

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