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Libraries Run Rust Inside Python (With PyO3)

Libraries Run Rust Inside Python (With PyO3)

Bob Belderbos· ·5 min read · 0 reactions · 0 comments · 3 views
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How Libraries Run Rust Inside Python (with PyO3) September 13, 2026 · 5 min read Every time you validate data with Pydantic v2, the data-validation library most Python apps reach for, a Rust extension does the work. Its core, pydantic-core, is built with PyO3, the same toolchain we'll use here. This post builds that same kind of bridge, small enough to read in one sitting: a JSON parser written in Rust, exposed to Python, so you can import it like any other package.

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Canonical URLhttps://belderbos.dev/blog/how-libraries-run-rust-inside-python/
Publication timeSun, 13 Sep 2026 15:24:05 +0000
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How Libraries Run Rust Inside Python (with PyO3) September 13, 2026 · 5 min read Every time you validate data with Pydantic v2, the data-validation library most Python apps reach for, a Rust extension does the work. Its core, pydantic-core, is built with PyO3, the same toolchain we'll use here. This post builds that same kind of bridge, small enough to read in one sitting: a JSON parser written in Rust, exposed to Python, so you can import it like any other package. The last step, turning the Rust result into Python objects, is the one to understand before you port anything: for a parser like this, it can cost more than the parsing itself. The four steps from Rust to import Getting Rust code into Python takes four steps: Write a normal Rust module. Annotate it with PyO3 macros.

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