tsdownsample
ZenithTA
Our great sponsors
tsdownsample | ZenithTA | |
---|---|---|
7 | 1 | |
127 | 213 | |
6.3% | - | |
6.0 | 0.0 | |
16 days ago | over 1 year ago | |
Jupyter Notebook | Rust | |
MIT License | MIT License |
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.
tsdownsample
- downsampling 500M datapoints in < 0.05s
-
[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
-
tsdownsample: extremely fast time series downsampling written in Rust
I just created an Issue for this: https://github.com/predict-idlab/tsdownsample/issues/19
ZenithTA
-
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?
What are some alternatives?
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
lazerpay-rust-sdk - Lazerpay SDK for Rust 🦀
downsample - Collection of several downsampling methods for time series visualisation purposes.
pyo3-polars - Pyo3 extensions for polars
Panther - A high performance python technical analysis library written in Rust and the Numpy C API. [Moved to: https://github.com/gregyjames/ZenithTA]
tendie-factory - Tendie-Factory is a work in progress application that seeks to track the stocks mentioned in the wallstreetbets subreddit.
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