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129 posts tagged “webassembly”

2026

Firefox in WebAssembly (via) This is absurdly cool: Puter compiled Firefox to WebAssembly such that the whole browser runs in another browser.

Here's my blog, running in Firefox, running in WebAssembly, running in Chrome:

A Chrome window. The tab has the Firefox UI and has loaded my blog. On the right is the Chrome network panel showing that it loaded resources that include a 233MB gecko.wasm and an 18MB chrome-assets.tar.zst

They chose Firefox/Gecko because it has strong single-process support. The project used an estimated $25,000 worth of Claude Opus and Fable tokens, but took advantage of a Claude Max subscription plan so cost much less in actual dollars.

The demo funnels all traffic over a WebSocket protocol (using the Wisp protocol) through Puter's server - a requirement to get this kind of thing to work because code running in browsers can't open arbitrary network connections.

(That proxying sounds expensive! The team had to scale the servers up to handle the traffic during the Hacker News conversation about the project.)

Puter claim this supports end-to-end encryption and that looks to be true - I inspected the WebSocket messages and traffic to my own HTTPS site was encrypted whereas requests and responses to http://www.example.com/ were in cleartext.

Here's the repo for firefox-wasm. theogbob/WebkitWasm is a similar project that compiles WebKit to WASM, but that one doesn't currently have an accessible online demo.

# 16th July 2026, 11:34 pm / browsers, firefox, ai, webassembly, generative-ai, llms, ai-assisted-programming, claude, claude-mythos-fable

After building the Mermaid to ASCII tool based on Grok Build's Rust code I learned that there's an older, more fully-featured Go library called AlexanderGrooff/mermaid-ascii that implements a similar pattern, so I had Claude Fable 5 compile that one to WebAssembly as well so I could compare the two.

This one includes support for colors!

Screenshot of a Mermaid diagram editor web app. A row of tab buttons reads: Flowchart, Multiple links, Subgraphs, Multi-line labels, Colors (selected, highlighted blue), Sequence, Alt fragment, Loop + note, Parallel. Below is a text input area containing: "graph LR / Build:::good --> Test:::good / Test --> Deploy:::warn / Deploy --> Rollback:::bad / classDef good color:#3fb950 / classDef warn color:#e3b341 / classDef bad color:#ff7b72". A control row shows an unchecked "ASCII only" checkbox, "Padding X: 5", "Padding Y: 5", "Box padding: 1", and buttons "Copy as text" and "Copy link to this diagram". At the bottom on a black background is the rendered left-to-right flowchart with four connected boxes: "Build" (green text), "Test" (green text), "Deploy" (yellow text), "Rollback" (red text), each linked by arrows.

While exploring the codebase for the newly open-sourced Grok CLI coding agent I came across xai-grok-markdown/src/mermaid.rs, a "self-contained terminal renderer for Mermaid diagrams" written in Rust.

I figured it would be fun to try that out in a browser via WebAssembly. Here's the prompt I ran in Claude Code for web (Fable 5), and this is what the resulting tool looks like:

Screenshot of a Mermaid diagram editor showing source code and rendered flowchart. The code reads: graph TD Start[Request received] --> Auth{Authenticated?} Auth -->|yes| Rate{Rate limit OK?} Auth -->|no| R401[401 Unauthorized] Rate -->|yes| H(Handle request) Rate -->|no| R429[429 Too Many Requests] H -.-> Log[Audit log] H ==> Resp[200 OK]. Below the code are controls labeled Max width: Fit output panel, Copy as text, and Copy link to this diagram. The rendered flowchart on a dark background flows top-down: Request received leads to Authenticated?, which branches yes to Rate limit OK? and no to 401 Unauthorized. Rate limit OK? branches yes to Handle request and no to 429 Too Many Requests. Handle request connects with a dotted arrow to Audit log and a thick arrow to 200 OK.

Publishing WASM wheels to PyPI for use with Pyodide

Visit Publishing WASM wheels to PyPI for use with Pyodide

The Pyodide 314.0 release announcement (via Hacker News) includes news I’ve been looking forward to for a long time:

[... 757 words]

I added a CLI to micropython-wasm (issue #7), inspired by the first draft of the blog entry when I realized it would be a great way to illustrate the Try it yourself section.

Running Python code in a sandbox with MicroPython and WASM

Visit Running Python code in a sandbox with MicroPython and WASM

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.

[... 2,024 words]

I want Datasette Agent to be able to generate and execute Python code safely. This alpha is looking promising so far. GPT-5.5 has so far failed to break out of the sandbox!

Fixes for some limitations that emerged while I was trying to use this to build datasette-agent-micropython.

My latest sandboxing experiment: This alpha package bundles a lightly customized WASM build of MicroPython with a wrapper to execute code in it via wasmtime.

Datasette Lite is my version of Datasette that runs entirely in the browser using Pyodide in WebAssembly.

When I first built it four years ago I used Web Workers and code that intercepts navigation operations and fetches the generated HTML by running the Python app.

This worked, but had the disadvantage that any JavaScript in <script> tags would not be executed - breaking some Datasette functionality and a whole lot of Datasette plugins.

This morning I set Claude Opus 4.8 the task (in Claude Code for web) of figuring out how to run Python ASGI apps in Pyodide using Service Workers instead, and it seems to work! Here's a basic ASGI FastCGI demo and here's a demo that runs Datasette 1.0a31.

I'm still getting my head around exactly how it works, but once I've done that I plan to upgrade Datasette Lite itself.

Salvatore Sanfilippo submitted a PR adding a new data type - arrays - to Redis.

The new commands are ARCOUNT, ARDEL, ARDELRANGE, ARGET, ARGETRANGE, ARGREP, ARINFO, ARINSERT, ARLASTITEMS, ARLEN, ARMGET, ARMSET, ARNEXT, AROP, ARRING, ARSCAN, ARSEEK, ARSET.

The implementation is currently available in a branch, so I had Claude Code for web build this interactive playground for trying out the new commands in a WASM-compiled build of a subset of Redis running in the browser.

Screenshot of a Redis command builder UI. Left sidebar shows commands ARSCAN, ARSEEK, ARSET. Main panel has a "predicate oneof" section with a MATCH dropdown and value CHERRY, plus a "+ add another" button. Below is "options (optional) oneof" with checkboxes: AND (checked), OR (unchecked), LIMIT (checked, value 10), WITHVALUES (checked), NOCASE (checked). COMMAND section shows: ARGREP myarr - + MATCH CHERRY AND LIMIT 10 WITHVALUES NOCASE. A red "Run command" button is below. REPLY section shows "(no reply yet)".

The most interesting new command is ARGREP which can run a server-side grep against a range of values in the array using the newly vendored TRE regex library.

Salvatore wrote more about the AI-assisted development process for the array type in Redis array type: short story of a long development.

In Servo is now available on crates.io the Servo team announced the initial release of the servo crate, which packages their browser engine as an embeddable library.

I set Claude Code for web the task of figuring out what it can do, building a CLI tool for taking screenshots using it and working out if it could be compiled to WebAssembly.

The servo-shot Rust tool it built works pretty well:

git clone https://github.com/simonw/research
cd research/servo-crate-exploration/servo-shot
cargo build
./target/debug/servo-shot https://news.ycombinator.com/

Here's the result:

An accurately rendered screenshot of the Hacker News homepage

Compiling Servo itself to WebAssembly is not feasible due to its heavy use of threads and dependencies like SpiderMonkey, but Claude did build me this playground page for trying out a WebAssembly build of the html5ever and markup5ever_rcdom crates, providing a tool for turning fragments of HTML into a parse tree.

See my notes on SQLite 3.53.0. This playground provides a UI for trying out the various rendering options for SQL result tables from the new Query Result Formatter library, compiled to WebAssembly.

Lalit Maganti's syntaqlite is currently being discussed on Hacker News thanks to Eight years of wanting, three months of building with AI, a deep dive into how it was built.

This inspired me to revisit a research project I ran when Lalit first released it a couple of weeks ago, where I tried it out and then compiled it to a WebAssembly wheel so it could run in Pyodide in a browser (the library itself uses C and Rust).

This new playground loads up the Python library and provides a UI for trying out its different features: formating, parsing into an AST, validating, and tokenizing SQLite SQL queries.

Screenshot of a dark-themed SQL validation playground called SyntaqLite. The "Validate" tab is selected from options including Format, Parse, Validate, and Tokenize. The SQL input contains "SELECT id, name FROM usr WHERE active = 1" with a schema defining "users" and "posts" tables. Example buttons for "Table typo", "Column typo", and "Valid query" are shown above a red "Validate SQL" button. The Diagnostics panel shows an error for unknown table 'usr' with the suggestion "did you mean 'users'?", and the JSON panel displays the corresponding error object with severity, message, and offset fields.

Update: not sure how I missed this but syntaqlite has its own WebAssembly playground linked to from the README.

Research syntaqlite Python Extension in WebAssembly — syntaqlite-python-extension is a Python C extension module that integrates the syntaqlite Rust/C SQL toolkit, making high-fidelity SQL parsing, formatting, validation, and tokenization available to Python and Pyodide environments. It wraps syntaqlite's native FFI for both desktop and web, linking against static libraries produced by Rust and employing Emscripten for WASM builds.

Luau is an MIT licensed "small, fast, and embeddable programming language based on Lua with a gradual type system", created by Roblox.

As part of my ongoing obsession with sandboxed runtimes I decided to see if I could get it working via WebAssembly in both Python and Pyodide.

Agentic Engineering Patterns >

GIF optimization tool using WebAssembly and Gifsicle

I like to include animated GIF demos in my online writing, often recorded using LICEcap. There's an example in the Interactive explanations chapter.

These GIFs can be pretty big. I've tried a few tools for optimizing GIF file size and my favorite is Gifsicle by Eddie Kohler. It compresses GIFs by identifying regions of frames that have not changed and storing only the differences, and can optionally reduce the GIF color palette or apply visible lossy compression for greater size reductions.

Gifsicle is written in C and the default interface is a command line tool. I wanted a web interface so I could access it in my browser and visually preview and compare the different settings. [... 1,603 words]

# 2nd March 2026, 4:35 pm / gif, tools, webassembly, claude, llms, prompt-engineering, ai, generative-ai, coding-agents, claude-code, agentic-engineering

Tool GIF Optimizer (gifsicle WASM) — Optimize animated GIF files using gifsicle compiled to WebAssembly, with all processing occurring directly in your browser without server uploads. The application offers preset optimization profiles ranging from lossless compression to aggressive lossy reduction, along with manual control over parameters like color palette size, scaling, and dithering methods.

go-size-analyzer (via) The Go ecosystem is really good at tooling. I just learned about this tool for analyzing the size of Go binaries using a pleasing treemap view of their bundled dependencies.

You can install and run the tool locally, but it's also compiled to WebAssembly and hosted at gsa.zxilly.dev - which means you can open compiled Go binaries and analyze them directly in your browser.

I tried it with a 8.1MB macOS compiled copy of my Go Showboat tool and got this:

Treemap visualization of a Go binary named "showboat" showing size breakdown across four major categories: "Unknown Sections Size" (containing __rodata __TEXT, __rodata __DATA_CONST, __data __DATA, and Debug Sections Size with __zdebug_line __DWARF, __zdebug_loc __DWARF, __zdebug_info __DWARF), "Std Packages Size" (showing standard library packages like runtime, net, crypto, reflect, math, os, fmt, strings, syscall, context, and many subpackages such as crypto/tls, crypto/x509, net/http, with individual .go files visible at deeper levels), "Main Packages Size" (showing main, showboat, cmd), and "Generated Packages Size" (showing <autogenerated>). A tooltip is visible over __zdebug_line __DWARF showing: Section: __zdebug_line __DWARF, Size: 404.44 KB, File Size: 404.44 KB, Known size: 0 B, Unknown size: 404.44 KB, Offset: 0x52814a – 0x58d310, Address: 0x1005c014a – 0x1005c5310, Memory: false, Debug: true. The treemap uses green for main/generated packages, blue-gray for unknown sections, and shades of purple/pink for standard library packages.

# 24th February 2026, 4:10 pm / go, webassembly, showboat

Launching Interop 2026. Jake Archibald reports on Interop 2026, the initiative between Apple, Google, Igalia, Microsoft, and Mozilla to collaborate on ensuring a targeted set of web platform features reach cross-browser parity over the course of the year.

I hadn't realized how influential and successful the Interop series has been. It started back in 2021 as Compat 2021 before being rebranded to Interop in 2022.

The dashboards for each year can be seen here, and they demonstrate how wildly effective the program has been: 2021, 2022, 2023, 2024, 2025, 2026.

Here's the progress chart for 2025, which shows every browser vendor racing towards a 95%+ score by the end of the year:

Line chart showing Interop 2025 browser compatibility scores over the year (Jan–Dec) for Chrome, Edge, Firefox, Safari, and Interop. Y-axis ranges from 0% to 100%. Chrome (yellow) and Edge (green) lead, starting around 80% and reaching near 100% by Dec. Firefox (orange) starts around 48% and climbs to ~98%. Safari (blue) starts around 45% and reaches ~96%. The Interop line (dark green/black) starts lowest around 29% and rises to ~95% by Dec. All browsers converge near 95–100% by year's end.

The feature I'm most excited about in 2026 is Cross-document View Transitions, building on the successful 2025 target of Same-Document View Transitions. This will provide fancy SPA-style transitions between pages on websites with no JavaScript at all.

As a keen WebAssembly tinkerer I'm also intrigued by this one:

JavaScript Promise Integration for Wasm allows WebAssembly to asynchronously 'suspend', waiting on the result of an external promise. This simplifies the compilation of languages like C/C++ which expect APIs to run synchronously.

# 15th February 2026, 4:33 am / browsers, css, javascript, web-standards, webassembly, jake-archibald

cysqlite—a new sqlite driver (via) Charles Leifer has been maintaining pysqlite3 - a fork of the Python standard library's sqlite3 module that makes it much easier to run upgraded SQLite versions - since 2018.

He's been working on a ground-up Cython rewrite called cysqlite for almost as long, but it's finally at a stage where it's ready for people to try out.

The biggest change from the sqlite3 module involves transactions. Charles explains his discomfort with the sqlite3 implementation at length - that library provides two different variants neither of which exactly match the autocommit mechanism in SQLite itself.

I'm particularly excited about the support for custom virtual tables, a feature I'd love to see in sqlite3 itself.

cysqlite provides a Python extension compiled from C, which means it normally wouldn't be available in Pyodide. I set Claude Code on it (here's the prompt) and it built me cysqlite-0.1.4-cp311-cp311-emscripten_3_1_46_wasm32.whl, a 688KB wheel file with a WASM build of the library that can be loaded into Pyodide like this:

import micropip
await micropip.install(
    "https://simonw.github.io/research/cysqlite-wasm-wheel/cysqlite-0.1.4-cp311-cp311-emscripten_3_1_46_wasm32.whl"
)
import cysqlite
print(cysqlite.connect(":memory:").execute(
    "select sqlite_version()"
).fetchone())

(I also learned that wheels like this have to be built for the emscripten version used by that edition of Pyodide - my experimental wheel loads in Pyodide 0.25.1 but fails in 0.27.5 with a Wheel was built with Emscripten v3.1.46 but Pyodide was built with Emscripten v3.1.58 error.)

You can try my wheel in this new Pyodide REPL i had Claude build as a mobile-friendly alternative to Pyodide's own hosted console.

I also had Claude build this demo page that executes the original test suite in the browser and displays the results:

Screenshot of the cysqlite WebAssembly Demo page with a dark theme. Title reads "cysqlite — WebAssembly Demo" with subtitle "Testing cysqlite compiled to WebAssembly via Emscripten, running in Pyodide in the browser." Environment section shows Pyodide 0.25.1, Python 3.11.3, cysqlite 0.1.4, SQLite 3.51.2, Platform Emscripten-3.1.46-wasm32-32bit, Wheel file cysqlite-0.1.4-cp311-cp311-emscripten_3_1_46_wasm32.wh (truncated). A green progress bar shows "All 115 tests passed! (1 skipped)" at 100%, with Passed: 115, Failed: 0, Errors: 0, Skipped: 1, Total: 116. Test Results section lists TestBackup 1/1 passed, TestBlob 6/6 passed, TestCheckConnection 4/4 passed, TestDataTypesTableFunction 1/1 passed, all with green badges.

# 11th February 2026, 5:34 pm / python, sqlite, charles-leifer, webassembly, pyodide, ai-assisted-programming, claude-code

Tool Pyodide REPL — Execute Python code directly in your web browser using Pyodide, a port of CPython to WebAssembly. This REPL provides an interactive Python environment with support for multiple Pyodide versions, single-line and multi-line input modes, and command history navigation. The interface is optimized for both desktop and mobile devices, with a dark theme and responsive layout that prevents content from being hidden behind on-screen keyboards.
Research cysqlite WebAssembly Wheel — By cross-compiling cysqlite, a high-performance Cython-based SQLite3 binding, to WebAssembly with Emscripten, this project delivers a ready-to-use wheel for Pyodide that enables rapid, native-like SQLite operations directly in browser-based Python environments. The build pipeline automates all necessary steps, from fetching dependencies to ensuring compatibility with Pyodide 0.25.x (Python 3.11, Emscripten 3.1.46).

Running Pydantic’s Monty Rust sandboxed Python subset in WebAssembly

Visit Running Pydantic's Monty Rust sandboxed Python subset in WebAssembly

There’s a jargon-filled headline for you! Everyone’s building sandboxes for running untrusted code right now, and Pydantic’s latest attempt, Monty, provides a custom Python-like language (a subset of Python) in Rust and makes it available as both a Rust library and a Python package. I got it working in WebAssembly, providing a sandbox-in-a-sandbox.

[... 854 words]

Research Monty WASM + Pyodide — Monty WASM + Pyodide explores compiling Monty—a Rust-based, sandboxed Python interpreter—into WebAssembly for seamless browser access. It provides two integration paths: a standalone WASM module accessible directly from JavaScript, and a Pyodide-compatible wheel for usage in Python-in-the-browser environments. The project enables safe, dependency-free Python code execution with features like variable injection, output capturing (including print statements), and robust error handling.
Research Building PyO3/Maturin Rust Extension Modules as WebAssembly Wheels for Pyodide — Compiling Rust-based Python extension modules (via PyO3 and maturin) into WebAssembly wheels for Pyodide involves precise coordination of toolchain versions and build flags to ensure compatibility. The process relies on maturin (≥1.0) for packaging, the Emscripten SDK (with the exact version used by Pyodide), and a Rust nightly toolchain matching Pyodide's ABI, particularly the `-Z emscripten-wasm-eh` flag and a compatible sysroot for Python 3.13 (Pyodide 0.28+).
Research WASM REPL CLI Tools — WASM REPL CLI Tools enable JavaScript and Python REPLs from the command line by leveraging WebAssembly runtimes in Go, built on the wazero engine. The project supplies separate binaries for each language—one using QuickJS WASI and the other CPython WASI—offering direct code execution, interactive shells, and a JSONL mode. JSONL mode lets external applications submit code for execution while maintaining persistent state across requests, facilitating programmatic integration.
Release pwasm 0.1a0 — A WebAssembly engine in pure Python
Research sqlite3-wasm Investigation Report — Seeking to enable Python's SQLite interface with WebAssembly, the project developed a `sqlite3_wasm` library—a drop-in replacement for Python's standard `sqlite3` module. By compiling SQLite 3.45.3 to WASM with wasi-sdk and wrapping the resulting binary with a Python API, the solution delivers fully functional, in-memory, WASM-powered database operations using the wasmtime runtime.