proposal-array-from-async
parquet-wasm
| proposal-array-from-async | parquet-wasm | |
|---|---|---|
| 7 | 6 | |
| 172 | 471 | |
| 2.3% | - | |
| 6.6 | 9.0 | |
| 5 months ago | 1 day ago | |
| HTML | Rust | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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proposal-array-from-async
- Goodbye, Node.js Buffer
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How async/await runs inside forEach, and why it probably doesn't do what you expect
Others have mentioned for await, which probably isn't ideal in the case of getting users by id since it'll only do one request at a time, which is less efficient. There's a proposal for Array.fromAsync() that'll essentially do the same thing...
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Updates from the 92nd TC39 meeting
Array.fromAsync: Array.fromAsync is to for await as Array.from is to for.
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New ECMAScript 23 array features
The proposal is described here.
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Getting async data using map arrow method
It's only a stage 2 spec, but Array.fromAsync() would handle exactly what you want. Polyfill exists too.
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Updates from the 87th meeting of TC39
Array.fromAsync: Like Array.from but it converts an async iterable (or a sync iterable of promises) to a promise that will resolve to an array.
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Updates from the 85th meeting of TC39
Array.fromAsync Like Array.from but for async iterators.
parquet-wasm
- FLaNK AI Weekly for 29 April 2024
- Parquet-WASM: Rust-based WebAssembly bindings to read and write Parquet data
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Goodbye, Node.js Buffer
nodejs-polars is node-specific and uses native FFI. polars can be compiled to Wasm but doesn't yet have a js API out of the box.
As for the fastest way to serialize data to Pandas data to the browser, you should use Parquet; it's the fastest to write on the Python side and read on the JS side, while also being compressed. See https://github.com/kylebarron/parquet-wasm (full disclosure, I wrote this)
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Rust 1.63.0
I'm building WebAssembly bindings to existing Rust libraries [0] and lower-dependency geospatial tools [1]. Rust makes it very easy to bind rust code to both WebAssembly and Python. And by avoiding some large C geospatial dependencies we can get reliable performance in both wasm and Python using the exact same codebase.
[0]: https://github.com/kylebarron/parquet-wasm
[1]: https://github.com/kylebarron/geopolars
- Why isn’t there a decent file format for tabular data?
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Recommendations when publishing a WASM library
Looks to be a great resource. I've been working on a WASM implementation of reading and writing Apache Parquet [0] and it's been difficult being new to WASM to find the best way of distributing the WASM that works on Node and through bundlers like Webpack.
[0]: https://github.com/kylebarron/parquet-wasm
What are some alternatives?
proposal-class-static-block - ECMAScript class static initialization blocks
datasette-stripe - A web SQL interface to your Stripe account using Datasette.
proposal-relative-indexing-method - A TC39 proposal to add an .at() method to all the basic indexable classes (Array, String, TypedArray)
quickjs-emscripten - Safely execute untrusted Javascript in your Javascript, and execute synchronous code that uses async functions
streams - Streams Standard
transmitic - Encrypted, peer to peer, file transfer program :: https://discord.gg/tRT3J6T :: https://www.reddit.com/r/transmitic/ :: https://twitter.com/transmitic
nodejs-polars - nodejs front-end of polars
geopolars - Geospatial extensions for Polars
proposal-extractors - Extractors for ECMAScript
odiff - The fastest pixel-by-pixel image visual difference tool in the world.
proposal-arraybuffer-base64 - TC39 proposal for Uint8Array<->base64/hex
rson - Rust Object Notation