vaex
Datamancer
| vaex | Datamancer | |
|---|---|---|
| 7 | 7 | |
| 8,171 | 124 | |
| 0.1% | 2.4% | |
| 5.4 | 8.7 | |
| 27 days ago | 2 months ago | |
| Python | Nim | |
| 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.
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 !
Datamancer
-
Anyone attempted to make Nim serve R's role? How is it currently?
I have been using Nim for all of my recent data munging and analysis. There's https://github.com/Vindaar/ggplotnim for plots (among others) and everything else has just been normal code. There's also https://github.com/SciNim/Datamancer if you need something more like tidyverse.
- Nim Version 1.6.6 Released
-
Is Nim right for me?
Check out Datamancer for your Pandas equivalent. If I recall correctly it does have the ability to read/write csv. If that doesn't suite you, there is a Python/Nim bridge called Nimpy. I do a lot of machine learning projects and have to use OpenCV and some other things from python because it doesn't exist yet. It's a pretty damn cool library.
-
daily report for Nim language
worked on the roadmap https://github.com/nim-lang/Nim/pull/19388 (enable -d:nimPreviewFloatRoundtrip and -d:nimPreviewDotLikeOps) and found that an important_packages (datamancer) failed. So I made a PR (https://github.com/SciNim/Datamancer/pull/23). It is not a bug of nimPreviewFloatRoundtrip(It seems like a precision problem to me) so alternatively datamancer can be disabled transiently.
-
Which dataframe library to use?
There seems to be two major ones for Nim, NimData and Datamancer. Which one is better?
- Polars: Lightning-fast DataFrame library for Rust and Python
What are some alternatives?
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
nimpy - Nim - Python bridge
data.table - R's data.table package extends data.frame:
dtplyr - Data table backend for dplyr
minimal-pandas-api-for-polars - pip install minimal-pandas-api-for-polars
nimskull - An in development statically typed systems programming language; with sustainability at its core. We, the community of users, maintain it.
rust-dataframe - A Rust DataFrame implementation, built on Apache Arrow
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
visidata - A terminal spreadsheet multitool for discovering and arranging data
ggplotnim - A port of ggplot2 for Nim
umap - Uniform Manifold Approximation and Projection
NimData - DataFrame API written in Nim, enabling fast out-of-core data processing