argos
vaex
| argos | vaex | |
|---|---|---|
| 1 | 7 | |
| 171 | 8,171 | |
| - | 0.1% | |
| 4.7 | 5.4 | |
| 13 days ago | 28 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
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argos
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Simple plotting/graphing crate suggestions
I use a lot of Rust for engineering (mostly on the design than the research part of R&D) and very clear plots are absolutely essential. At the same time, when I start a new analysis, it isn't always clear what I need to plot. So, a workflow that has been excellent for my team and I is to generate large datasets in hdf5 (from Rust), and plot them either directly with Argos (https://github.com/titusjan/argos) or to load them in a Jupyter Notebook in Python and use plotly or PyQtGraph (for very large datasets since it uses your GPU).
vaex
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preprocessing millions of records - how to speed up the processing
Try vaex, vaex, using lazy evaluation and parallel calculations, you should be fine.
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High performance (for the consumer) time series storage?
I'd recommend QuestDB. Worked with it multiple times for different algorithmic trading needs and it didn't disappoint. If you want to load data fast, I'd recommend this Python library.
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Python Pandas vs Dask for csv file reading
How about vaex?
- Polars: Lightning-fast DataFrame library for Rust and Python
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For stocks, what historical data do you store and how do you store it?
You might find vaex (https://github.com/vaexio/vaex) interesting if you work with HDF5.
- I wrote one of the fastest DataFrame libraries
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A Hybrid Apache Arrow/Numpy DataFrame with Vaex Version 4.0
My guess is that should be possible, feel free to hop onto https://github.com/vaexio/vaex/discussions !
What are some alternatives?
RustGnuplot - A Rust library for drawing plots, powered by Gnuplot.
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
plotters - A rust drawing library for high quality data plotting for both WASM and native, statically and realtimely 🦀 📈🚀
data.table - R's data.table package extends data.frame:
lambda-packs - Precompiled packages for AWS Lambda
minimal-pandas-api-for-polars - pip install minimal-pandas-api-for-polars
rust-dataframe - A Rust DataFrame implementation, built on Apache Arrow
visidata - A terminal spreadsheet multitool for discovering and arranging data
umap - Uniform Manifold Approximation and Projection
db-benchmark - reproducible benchmark of database-like ops
dtplyr - Data table backend for dplyr
TypedTables.jl - Simple, fast, column-based storage for data analysis in Julia