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mojo-python-interop

Enable Mojo code to import Python modules and call Python APIs using PythonObject wrappers.

7|1|Updated Apr 9, 2026
Search Tags:#python#interoperability#bindings#mojo#cross-language#extension-modules#pythonobject
One-click install
npx skills add https://github.com/Hundo1018/wgpu-mojo --skill mojo-python-interop-hundo1018
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mojo-python-interop
Source: https://github.com/Hundo1018/wgpu-mojo/tree/main/.agents/skills/mojo-python-interop
Command: npx skills add https://github.com/Hundo1018/wgpu-mojo --skill mojo-python-interop-hundo1018

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Mojo development often requires interop with Python, enabling Mojo code to import, call, and exchange data with Python libraries and runtime.

Core Features & Use Cases

  • Python import and execution in Mojo: Import Python modules and run Python code from Mojo, with PythonObject wrappers for data exchange.
  • Data and type conversions: Convert between Mojo and Python types, allowing Python objects to be used in Mojo and vice versa.
  • Extension modules and bindings: Build Python extension modules in Mojo, wrap Mojo structs for Python consumption, and interoperate in cross-language projects.

Quick Start

Install and configure the Mojo-Python bridge and run a minimal example to call numpy from Mojo.

Frequently Asked Questions about mojo-python-interop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I call Python libraries from Mojo code?▼

Yes, you can build Python extension modules in Mojo by wrapping Mojo structs for Python consumption. This allows cross-language projects to interoperate seamlessly while following current Mojo-Python conventions and syntax rules.

How do I convert types between Mojo and Python?▼

You convert types between Mojo and Python by using PythonObject wrappers that facilitate data exchange. This allows Python objects to be manipulated within Mojo and vice versa across typical cross-language data flows.

What is the best way to achieve Mojo-Python interoperability?▼

The best way to achieve Mojo-Python interoperability is using PythonObject wrappers to import modules and convert types. This approach ensures safe and predictable cross-language bindings without breaking Python conventions.

Does Mojo support importing Python modules like numpy?▼

Yes, Mojo supports importing Python modules like numpy by configuring the Mojo-Python bridge. You can run a minimal example to call numpy from Mojo, leveraging PythonObject wrappers for safe data exchange.

Are there limitations when wrapping Mojo types for Python?▼

When wrapping Mojo types for Python, limitations include adhering to current Mojo-Python conventions and syntax rules. You must use PythonObject wrappers correctly to ensure safe and predictable interoperability across cross-language bindings.

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