ZenithTA
FinNLP-Progress
ZenithTA | FinNLP-Progress | |
---|---|---|
1 | 7 | |
213 | 380 | |
- | - | |
0.0 | 0.0 | |
over 1 year ago | about 2 years ago | |
Rust | ||
MIT License | - |
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ZenithTA
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Easiest way to get a pandas dataframe from python to rust?
I have a technical analysis library written for Python using Rust and PyO3 called ZenithTA. A typical Dataframe for a stock has four columns: open, high, low, and close. Currently, I am converting each of the rows into lists to pass into Rust. It would be way easier if the end user could just pass in the dataframe, and I could just manipulate it in Rust. Does anyone have any tips or advice for doing this?
FinNLP-Progress
What are some alternatives?
lazerpay-rust-sdk - Lazerpay SDK for Rust 🦀
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awesome-algorand - ⚡A curated list of awesome resources related to the Ⱥlgorand Blockchain ⛓
pyo3-polars - Pyo3 extensions for polars
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tendie-factory - Tendie-Factory is a work in progress application that seeks to track the stocks mentioned in the wallstreetbets subreddit.
Panther - A high performance python technical analysis library written in Rust and the Numpy C API. [Moved to: https://github.com/gregyjames/ZenithTA]
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust