glue
vaex
| glue | vaex | |
|---|---|---|
| 1 | 7 | |
| 714 | 8,170 | |
| 0.4% | 0.1% | |
| 9.2 | 5.4 | |
| 8 days ago | 29 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | 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.
glue
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?
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
plotly-resampler - Visualize large time series data with plotly.py
data.table - R's data.table package extends data.frame:
lux - Automatically visualize your pandas dataframe via a single print! 📊 💡
minimal-pandas-api-for-polars - pip install minimal-pandas-api-for-polars
lux - 👾 Fast and simple video download library and CLI tool written in Go
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