m.css
A no-nonsense, no-JavaScript CSS framework, site and documentation theme for content-oriented websites (by mosra)
LovelyPlots
Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator. (by killiansheriff)
m.css | LovelyPlots | |
---|---|---|
3 | 3 | |
395 | 804 | |
- | - | |
4.7 | 7.8 | |
2 months ago | about 1 month 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.
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.
m.css
Posts with mentions or reviews of m.css.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-23.
- C++ | Modern documentation tools
-
Limiting Doxygen content width
Aside from custom CSS stylesheets, there are also plenty of post-processing tools that can take (usually) the xml output of doxygen and output something more stylized. Same examples include Mosra's m.css, or using Sphinx.
- Mein Beitrag zur aktuellen Abmahnwelle:
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 m.css and LovelyPlots you can also consider the following projects:
poxy - Documentation generator for C++
tikzplotlib - :bar_chart: Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.
diagrams-as-code - Diagrams as code: declarative configurations using YAML for drawing cloud system architectures.
daltonize - Simulate and correct images for dichromatic color blindness
pygraphv - Python library for generating dot programming language for creating graphviz graphs from python OO style code
Expense-tracker - Python expense tracker
breathe - ReStructuredText and Sphinx bridge to Doxygen
SciencePlots - Matplotlib styles for scientific plotting
scientific-visualization-book - An open access book on scientific visualization using python and matplotlib