pydantic/monty

Health v2 · maintenance only

Adoption not part of the score

8621 stars · 453 forks observed · 2026-10-12

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Monty is a minimal, secure Python interpreter written in Rust designed for safely executing LLM-generated code without container-based sandboxes. It blocks host access by default, supports snapshotting interpreter state, and can be called from Rust, Python, or JavaScript with sub-microsecond startup.

Use cases

• safely run python code generated by an llm
• sandbox untrusted python code without docker containers
• embed a python interpreter in a rust application
• pause and resume python execution from a snapshot
• typecheck llm-written python code
• give ai agents controlled access to host functions

When to choose

• you need to execute LLM-generated Python with minimal latency and no container overhead
• you want strict control over filesystem, network, and environment access from executed code
• you need to snapshot and resume interpreter state across requests or processes

When to avoid

• you need full CPython compatibility or arbitrary third-party Python packages
• you need a production-grade, stable interpreter for general-purpose Python workloads
• your code depends on C extensions or native modules

Facets

library · maturity experimental

interpreter security llm-inference agent-framework sdk programming-languages artificial-intelligence security developer-tools rust python cross-platform sandboxed-python llm-code-execution microsecond-startup snapshotable embedded-interpreter no-container-sandbox sandbox interpreters ai-agents nodejs

Member repositories

For agents

markdown · JSON · MCP: product_card(name="pydantic/monty")