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WebGL, WebGPU, WebNN

Which have better process isolation; containers or Chrome's app sandbox at pwn2own how do I know what is running in a WASM browser tab?

JupyterLite, datasette-lite, and the Pyodide plugin for vscode.dev ship with Pyodide's WASM compilation of CPython and SciPy Stack / PyData tools.

`%pip install -q mendeley` in a notebook opened with the Pyodide Jupyter kernel works by calling `await micropip.install(["mendeley"])` IIRC.

picomamba installs conda packages from emscripten-forge, which is like conda-forge: https://news.ycombinator.com/item?id=33892076#33916270 :

> FWIU Service Workers and Task Workers and Web Locks are the browser APIs available for concurrency in browsers

sqlite-wasm, sqlite-wasm-http, duckdb-wasm, (edit) postgresql WASM / pglite ; WhatTheDuck, pretzelai ; lancedb/lance is faster than pandas with dtype_backend="arrow" and has a vector index

"SQLite Wasm in the browser backed by the Origin Private File System" (2023) https://news.ycombinator.com/item?id=34352935#34366429

"WebGPU is now available on Android" (2024) https://news.ycombinator.com/item?id=39046787

"WebNN: Web Neural Network API" https://www.w3.org/TR/webnn/ : https://news.ycombinator.com/item?id=36159049

"The best WebAssembly runtime may be no runtime" (2024) https://news.ycombinator.com/item?id=38609105

(Edit) emscripten-forge packages are built for the wasm32-unknown-emscripten build target, but wasm32-wasi is what is now supported by cpython (and pypi?) https://www.google.com/search?q=wasm32-wasi+conda-forge



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