datar VS polars

Compare datar vs polars and see what are their differences.

polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust (by ritchie46)
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datar polars
4 144
255 26,218
- 2.9%
7.4 10.0
about 2 months ago 5 days ago
Python Rust
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

datar

Posts with mentions or reviews of datar. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-28.
  • Difficulty transitioning between R and Python?
    2 projects | /r/datascience | 28 Oct 2022
  • What would it take to recreate dplyr in Python?
    3 projects | news.ycombinator.com | 17 Jan 2022
  • datar: the dplyr in python
    3 projects | /r/Rlanguage | 25 Jun 2021
    datar does not only mimic the piping syntax, but follows the API design from dplyr as much as possible, and is tested with its test cases.
    2 projects | /r/Python | 25 Jun 2021
    df = tibble( x=range(4), y=['zero', 'one', 'two', 'three'] ) df >> mutate(z=f.x) """# output x y z 0 0 zero 0 1 1 one 1 2 2 two 2 3 3 three 3 """ df >> mutate(z=if_else(f.x>1, 1, 0)) """# output: x y z 0 0 zero 0 1 1 one 0 2 2 two 1 3 3 three 1 """ df >> filter(f.x>1) """# output: x y 0 2 two 1 3 three """ df >> mutate(z=if_else(f.x>1, 1, 0)) >> filter(f.z==1) """# output: x y z 0 2 two 1 1 3 three 1 """ ``` Works with plotnine ```python example grabbed from https://github.com/has2k1/plydata import numpy from datar.base import sin, pi from plotnine import ggplot, aes, geom_line, theme_classic df = tibble(x=numpy.linspace(0, 2*pi, 500)) (df >> mutate(y=sin(f.x), sign=if_else(f.y>=0, "positive", "negative")) >> ggplot(aes(x='x', y='y')) + theme_classic() + geom_line(aes(color='sign'), size=1.2)) ``` ![plotnine](https://github.com/pwwang/datar/raw/master/example.png) Easy to integrate with other libraries ```python import klib from pipda import register_verb from datar.datasets import iris from datar.dplyr import pull dist_plot = register_verb(func=klib.dist_plot) iris >> pull(f.Sepal_Length) >> dist_plot() ``` ![klib](https://github.com/pwwang/datar/raw/master/example2.png) For more detailed and advanced usage, see https://pwwang.github.io/datar/

polars

Posts with mentions or reviews of polars. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-08.

What are some alternatives?

When comparing datar and polars you can also consider the following projects:

pipda - A framework for data piping in python

vaex - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

plydata - A grammar for data manipulation in Python

modin - Modin: Scale your Pandas workflows by changing a single line of code

datafusion - Apache DataFusion SQL Query Engine

DataFrames.jl - In-memory tabular data in Julia

datatable - A Python package for manipulating 2-dimensional tabular data structures

Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

db-benchmark - reproducible benchmark of database-like ops

rust-numpy - PyO3-based Rust bindings of the NumPy C-API

hdf5-rust - HDF5 for Rust

tidypolars - Tidy interface to polars