LovelyPlots VS SciencePlots

Compare LovelyPlots vs SciencePlots and see what are their differences.

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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LovelyPlots SciencePlots
3 8
804 6,471
- -
7.8 5.9
about 1 month ago 3 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.

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.

SciencePlots

Posts with mentions or reviews of SciencePlots. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-15.

What are some alternatives?

When comparing LovelyPlots and SciencePlots you can also consider the following projects:

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

paperetl - πŸ“„ βš™οΈ ETL processes for medical and scientific papers

daltonize - Simulate and correct images for dichromatic color blindness

paperai - πŸ“„ πŸ€– Semantic search and workflows for medical/scientific papers

Expense-tracker - Python expense tracker

dufte - :chart_with_upwards_trend: Minimalistic Matplotlib style

scientific-visualization-book - An open access book on scientific visualization using python and matplotlib

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

sane_tikz - Reconquer the canvas: beautiful Tikz figures without clunky Tikz code

VSCode-LaTeX-Inkscape - ✍️ A way to integrate LaTeX, VS Code, and Inkscape in macOS

plotly.rs - Plotly for Rust