python-infix VS siuba

Compare python-infix vs siuba and see what are their differences.

python-infix

An experiment to use infix operators in Python (by borntyping)

siuba

Python library for using dplyr like syntax with pandas and SQL (by machow)
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python-infix siuba
1 25
51 1,101
- -
10.0 7.5
over 5 years ago 8 months ago
Python Python
- 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.

python-infix

Posts with mentions or reviews of python-infix. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-25.

siuba

Posts with mentions or reviews of siuba. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-04.

What are some alternatives?

When comparing python-infix and siuba you can also consider the following projects:

hoogle - Haskell API search engine

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

beam - Apache Beam is a unified programming model for Batch and Streaming data processing.

dtale - Visualizer for pandas data structures

Altair - Declarative statistical visualization library for Python

q - q - Run SQL directly on delimited files and multi-file sqlite databases

vinum - Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.

DataFramesMeta.jl - Metaprogramming tools for DataFrames

data.table - R's data.table package extends data.frame:

sspipe - Simple Smart Pipe: python productivity-tool for rapid data manipulation

K3D-jupyter - K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.

swifter - A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner