dufte
:chart_with_upwards_trend: Minimalistic Matplotlib style (by nschloe)
CMasher
Scientific colormaps for making accessible, informative and 'cmashing' plots (by 1313e)
dufte | CMasher | |
---|---|---|
2 | 2 | |
206 | 388 | |
- | - | |
1.5 | 8.7 | |
over 2 years ago | about 1 month ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" 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.
dufte
Posts with mentions or reviews of dufte.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[OC] Coinbase users over time
- Tools: Python's matplotlib, using the "dufte" style that implement's Tufte's ideas.
- New clean matplotlib style, dufte
CMasher
Posts with mentions or reviews of CMasher.
We have used some of these posts to build our list of alternatives
and similar projects.
- The Orbit of Planet Nine
-
[OC] Scientific impact (citations of research publications) of countries per capita
This is really cool! I agree with you about the red-green issue, but I'm not sure you're taking full advantage of the color scale for distinguishing between different levels. Maybe something like the fusion colormap (without the darkest parts) from this set of perceptually uniform maps. Alternatively I'm not actually convinced you're conveying much additional information out of using a diverging colormap, so you could try using something sequential - regardless, this is super interesting!
What are some alternatives?
When comparing dufte and CMasher you can also consider the following projects:
SciencePlots - Matplotlib styles for scientific plotting
seaborn - Statistical data visualization in Python
mplcyberpunk - "Cyberpunk style" for matplotlib plots
bokeh - Interactive Data Visualization in the browser, from Python
nord-deep-mpl-stylesheet - Nord Deep stylesheets for Matplotlib
scientific-visualization-book - An open access book on scientific visualization using python and matplotlib
plotnine - A Grammar of Graphics for Python