corenet
parquet-wasm
| corenet | parquet-wasm | |
|---|---|---|
| 6 | 6 | |
| 6,464 | 471 | |
| 9.6% | - | |
| 3.7 | 9.0 | |
| 16 days ago | 6 days ago | |
| Python | Rust | |
| GNU General Public License v3.0 or later | 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.
corenet
- FLaNK AI Weekly for 29 April 2024
-
Apple releases CoreNet, a library for training deep neural networks
The interface looks very Apple as well. Looks like you create a config file, and you already have a model in mind with the hyperparameters with a simple interface. How useful is this to researchers trying to hack the model architecture?
One example: https://github.com/apple/corenet/tree/main/projects/clip#tra...
parquet-wasm
- FLaNK AI Weekly for 29 April 2024
- Parquet-WASM: Rust-based WebAssembly bindings to read and write Parquet data
-
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?
datasette-stripe - A web SQL interface to your Stripe account using Datasette.
quickjs-emscripten - Safely execute untrusted Javascript in your Javascript, and execute synchronous code that uses async functions
transmitic - Encrypted, peer to peer, file transfer program :: https://discord.gg/tRT3J6T :: https://www.reddit.com/r/transmitic/ :: https://twitter.com/transmitic
geopolars - Geospatial extensions for Polars
odiff - The fastest pixel-by-pixel image visual difference tool in the world.
rson - Rust Object Notation
csvz - The hot new standard in open databases
nodejs-polars - nodejs front-end of polars
zero-to-production - Code for "Zero To Production In Rust", a book on API development using Rust.
conda-forge
odbc2parquet - A command line tool to query an ODBC data source and write the result into a parquet file.
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.