MyDataAnalysis VS siuba

Compare MyDataAnalysis vs siuba and see what are their differences.

MyDataAnalysis

My DataAnalyst Projects | Python, SQL, Excel, PowerBI & Tableau (by KevinGastelum)

siuba

Python library for using dplyr like syntax with pandas and SQL (by machow)
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MyDataAnalysis siuba
2 25
0 1,111
- -
8.9 7.5
about 2 months ago 9 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.

MyDataAnalysis

Posts with mentions or reviews of MyDataAnalysis. We have used some of these posts to build our list of alternatives and similar projects.

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 MyDataAnalysis and siuba you can also consider the following projects:

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

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

data_algebra - Codd method-chained SQL generator and Pandas data processing in Python.

python-infix - An experiment to use infix operators in Python