|4 months ago||25 days ago|
|MIT License||Mozilla Public License 2.0|
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.
Massive R analysis of Data Science Language and Job Trends 2022
1 project | reddit.com/r/rstats | 29 Jan 2022
I use both R and Python, and agree with 1, 3 and 4, but for most data wrangling, data.table in R beats most of the competition, including pandas in Python: https://h2oai.github.io/db-benchmark/
Does Rust's performance advantage over python extend to numpy/pandas?
1 project | reddit.com/r/bioinformatics | 4 Jan 2022
It has some impressive benchmarks https://h2oai.github.io/db-benchmark/
Is Data Science 90% boring and 10% mega-interesting?
1 project | reddit.com/r/datascience | 28 Dec 2021
Programming languages for data roles Big Tech [OC]
1 project | reddit.com/r/learnmachinelearning | 22 Dec 2021
It’s not just speed but also memory usage and parallelization potential. Look how many times pandas is out of memory https://h2oai.github.io/db-benchmark/
The polars dataframe library now also exposes bindings to NodeJS
2 projects | reddit.com/r/node | 22 Dec 2021
Polars is a blazingly fast DataFrame library. Its written in Rust and until now exposed only bindings in Python. Its one of the best performing solutions in H2oAi's db-benchmark
Polars, lightning-fast DataFrame library
1 project | reddit.com/r/Python | 17 Dec 2021
Polars: Lightning-fast DataFrame library for Rust and Python
13 projects | news.ycombinator.com | 16 Dec 2021
Hmmm .. in the linked benchmarks , DataFrames.jl (Julia library) appears to be fairly competitive.13 projects | news.ycombinator.com | 16 Dec 2021
Rust and what it needs to gain space in computation-oriented applications
7 projects | reddit.com/r/rust | 24 Nov 2021
You should check out polars, datafusion, influxdb iox and databend, all written in native Rust and powered by the Apache Arrow format. Polars in particular is pretty dam fast and has bindings for Python.
Database-Like Ops Benchmark
1 project | news.ycombinator.com | 20 Nov 2021
What are some alternatives?
arrow-datafusion - Apache Arrow DataFusion and Ballista query engines
polars - Fast multi-threaded DataFrame library in Rust | Python | Node.js
sktime - A unified framework for machine learning with time series
DataFramesMeta.jl - Metaprogramming tools for DataFrames
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
csvs-to-sqlite - Convert CSV files into a SQLite database
arrow2 - Unofficial transmute-free Rust library to work with the Arrow format
Preql - An interpreted relational query language that compiles to SQL.
julia - The Julia Programming Language
databend - An elastic and reliable Serverless Data Warehouse, offers Blazing Fast Query and combines Elasticity, Simplicity, Low cost of the Cloud, built to make the Data Cloud easy
DataFrame - C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly