hsv5
parquet-wasm
| hsv5 | parquet-wasm | |
|---|---|---|
| 2 | 6 | |
| 1 | 464 | |
| - | - | |
| 0.0 | 9.0 | |
| about 2 years ago | 6 days ago | |
| Nim | Rust | |
| - | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
hsv5
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Why isn’t there a decent file format for tabular data?
I've pondered exactly that. After a previous HN thread, I tried my hand at writing a specification that was minimal as possible but followed HTML5. For example many end tags are optional like `tr` and `td` end tags. Though I pulled in RDFa for richer data types.
Here's the GitHub repo for what I like to call HSV5: https://github.com/elcritch/hsv5/blob/main/README.md ;)
And an example of the smallest _valid_ HTML table format:
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JSON5 Data Interchange Format
Somewhat related, I was toying around with what an html5 based csv alternative could look like and called it hsv5 partly as a play on json5 and hdf5.
https://github.com/elcritch/hsv5
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?
odiff - The fastest pixel-by-pixel image visual difference tool in the world.
datasette-stripe - A web SQL interface to your Stripe account using Datasette.
hjson-js - Hjson for JavaScript
quickjs-emscripten - Safely execute untrusted Javascript in your Javascript, and execute synchronous code that uses async functions
rson - Rust Object Notation
transmitic - Encrypted, peer to peer, file transfer program :: https://discord.gg/tRT3J6T :: https://www.reddit.com/r/transmitic/ :: https://twitter.com/transmitic
ndjson-spec - Specification
geopolars - Geospatial extensions for Polars
csvz - The hot new standard in open databases
json5 - JSON5 — JSON for Humans