flask-WebVOWL
vaex
| flask-WebVOWL | vaex | |
|---|---|---|
| 6 | 7 | |
| 9 | 8,170 | |
| - | 0.1% | |
| 3.2 | 5.4 | |
| almost 3 years ago | 30 days ago | |
| Python | Python | |
| - | 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.
flask-WebVOWL
vaex
-
preprocessing millions of records - how to speed up the processing
Try vaex, vaex, using lazy evaluation and parallel calculations, you should be fine.
-
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.
-
Python Pandas vs Dask for csv file reading
How about vaex?
- Polars: Lightning-fast DataFrame library for Rust and Python
-
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
-
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?
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
RDFLib plugin providing JSON-LD parsing and serialization - JSON-LD parser and serializer plugins for RDFLib
data.table - R's data.table package extends data.frame:
PyLD - JSON-LD processor written in Python
minimal-pandas-api-for-polars - pip install minimal-pandas-api-for-polars
rdflib - RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
rust-dataframe - A Rust DataFrame implementation, built on Apache Arrow
bokeh - Interactive Data Visualization in the browser, from Python
visidata - A terminal spreadsheet multitool for discovering and arranging data
umap - Uniform Manifold Approximation and Projection
db-benchmark - reproducible benchmark of database-like ops