siuba VS K3D-jupyter

Compare siuba vs K3D-jupyter and see what are their differences.

siuba

Python library for using dplyr like syntax with pandas and SQL (by machow)
Data Analysis Python Pandas SQL dplyr
Source Code
siuba.org
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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. (by K3D-tools)
Jupyter Visualization 3D
Source Code
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siuba K3D-jupyter
25 1
1,100 905
- 2.0%
7.5 7.1
7 months ago 4 months ago
Python Python
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.

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.

K3D-jupyter

Posts with mentions or reviews of K3D-jupyter. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-21.
  • Unpopular opinion: Matplotlib is a bad library
    6 projects | /r/Python | 21 Apr 2022
    Yes, 3D performance is crap. That's because MPL is a 2D library. If you want 3d, use a 3d API. I quite like https://github.com/K3D-tools/K3D-jupyter . As far as 2d plotting goes, MPL performance is actually rather good. Anti-aliased 2d rendering is more-or-less impossible to hardware accelerate (many people have tried).

What are some alternatives?

When comparing siuba and K3D-jupyter 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

bokeh - Interactive Data Visualization in the browser, from Python

dtale - Visualizer for pandas data structures

patchworklib - Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib, seaborn, and plotnine.

Altair - Declarative statistical visualization library for Python

PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications

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

mplsel - A Matplotlib utility class to enable easier selection, interaction, modification and duplication of Line2D-based plots

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

siuba vs Pandas K3D-jupyter vs bokeh siuba vs dtale K3D-jupyter vs patchworklib siuba vs Altair K3D-jupyter vs PyQtGraph siuba vs q K3D-jupyter vs mplsel siuba vs vinum siuba vs DataFramesMeta.jl siuba vs data.table siuba vs sspipe