ZenithTA
tsdownsample
| ZenithTA | tsdownsample | |
|---|---|---|
| 1 | 7 | |
| 213 | 128 | |
| - | 4.7% | |
| 0.0 | 6.0 | |
| over 1 year ago | 28 days ago | |
| Rust | Jupyter Notebook | |
| MIT License | 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?
tsdownsample
- downsampling 500M datapoints in < 0.05s
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[P] tsdownsample: extremely fast time series downsampling for visualization
P.S.: I recently discovered a bug in the implementation (when there are large gaps in the time series ) -> PR https://github.com/predict-idlab/tsdownsample/pull/20 should fix this
- tsdownsample: Timeseries downsampling with 200-300x better performance vs. NumPy
- tsdownsample: time-series downsampling with 200-300x performance to equivalent numpy routines
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tsdownsample: extremely fast time series downsampling written in Rust
I just created an Issue for this: https://github.com/predict-idlab/tsdownsample/issues/19
What are some alternatives?
lazerpay-rust-sdk - Lazerpay SDK for Rust 🦀
tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
pyo3-polars - Pyo3 extensions for polars
downsample - Collection of several downsampling methods for time series visualisation purposes.
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]
argminmax - Efficient argmin & argmax
FinNLP-Progress - NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art results for the most popular tasks.
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust