scientific-visualization-book VS LovelyPlots

Compare scientific-visualization-book vs LovelyPlots and see what are their differences.

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib (by rougier)

LovelyPlots

Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator. (by killiansheriff)
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scientific-visualization-book LovelyPlots
17 3
10,080 805
- -
3.6 7.8
4 months ago about 2 months ago
Python Python
GNU General Public License v3.0 or later 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.

scientific-visualization-book

Posts with mentions or reviews of scientific-visualization-book. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-22.

LovelyPlots

Posts with mentions or reviews of LovelyPlots. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-26.

What are some alternatives?

When comparing scientific-visualization-book and LovelyPlots you can also consider the following projects:

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

tikzplotlib - :bar_chart: Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.

sktime - A unified framework for machine learning with time series

daltonize - Simulate and correct images for dichromatic color blindness

db-benchmark - reproducible benchmark of database-like ops

Expense-tracker - Python expense tracker

DataFrame - C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

SciencePlots - Matplotlib styles for scientific plotting

Altair - Declarative statistical visualization library for Python

m.css - A no-nonsense, no-JavaScript CSS framework, site and documentation theme for content-oriented websites

oz - Data visualizations in Clojure and ClojureScript using Vega and Vega-lite

mplcyberpunk - "Cyberpunk style" for matplotlib plots