Running Python code in a sandbox with MicroPython and WASM
A new alpha package called micropython-wasm has been released to run Python code in a sandbox environment. This package is intended for use with the Datasette Agent plugin, allowing for safer execution of plugin code. The goal is to enable code execution without risking the core application or user data.
- ▪The micropython-wasm package aims to provide a secure sandbox for running Python code.
- ▪It is designed to prevent plugins from executing harmful operations that could compromise the application or user data.
- ▪WebAssembly is utilized for its robust security features, making it suitable for executing untrusted code.
Simon Willison files mainly under blogs. We currently carry 54 of its stories.
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Story provenance
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Record
| Original publisher | Simon Willison's Weblog |
| Canonical URL | https://simonwillison.net/2026/Jun/6/micropython-in-a-sandbox/#atom-everything |
| Publication time | 2026-06-06T03:53:34+00:00 |
| Retrieval time | 2026-06-06T03:59:39.350Z |
| Last seen | 2026-06-06T05:09:53.886Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | rCaXWfTvE0VM |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Running Python code in a sandbox with MicroPython and WASM 6th June 2026 I’ve been experimenting with different approaches to running code in a sandbox for several years now, but my latest attempt feels like it might finally have all of the characteristics I’ve been looking for. I’ve released it as an alpha package called micropython-wasm, and I’m using it for a code execution sandbox plugin for Datasette Agent called datasette-agent-micropython. Why do I want a sandbox? My key open source projects—Datasette, LLM, even sqlite-utils—all support plugins. I absolutely love plugins as a mechanism for extending software.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Simon Willison's Weblog.