Python package and CLI to generate stylistic word clouds

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原文链接: https://github.com/minimaxir/stylecloud



Generate stylistic wordclouds, including gradients and icon shapes!

stylecloud is a Python package that leverages the popular word_cloud package, adding useful features to create truly unique word clouds!

  • Icon shapes (of any size!) for wordclouds (via Font Awesome 5.11.2)
  • Support for advanced color palettes (via palettable )
  • Directional gradients w/ the aforementioned palettes.
  • Supports reading a file of text, or reading a pre-generated CSV with words and counts.
  • Command Line Interface!

This package is a more formal implementation of my stylistic word cloud project from 2016.


You can install stylecloud via pip:

pip3 install stylecloud


You can use stylecloud in a Python script or as a standalone CLI app. For example, let's say you have a text of the U.S. Constitution constitution.txt .

Python script:

import stylecloud



But you can do so much more! You can use the free Font Awesome icons to change the shape, change the color palette to one from palettable for a custom style, change the background color, and, most importantly, add a gradient so the colors flow in a specified direction!

import stylecloud

                          icon_name='fas fa-dog',


You can also use the CLI for even faster stylecloud generation! For the simple flag stylecloud above:

stylecloud --file_path constitution.txt

For the more complex dog-gradient stylecloud:

stylecloud --file_path constitution.txt --icon_name 'fas fa-dog' --palette colorbrewer.diverging.Spectral_11 --background_color black --gradient horizontal

You can find more examples of styleclouds, including how to make styleclouds from Twitter and Reddit data, in the stylecloud-examples repo.

In order to deal with different languages or simply add list of custom stopwords it is possible to pass a list contained in a string as parameter like so :

stylecloud --file_path constitution.txt --custom_words "[thereof, may, state, united states]"

For more control it would of course be most ideal to define the list in code since if one is defining stopwords for another language these lists can get long. In that case simply pass in the list as argument to the function

import stylecloud
my_long_list = ["thereof", "may", "state", "united states"]

stylecloud.gen_stylecloud(file_path=constitution.txt, custom_words=my_long_list)

Good ressources for stopwords in other languages are the stop-words python package which gives you python lists directly. Or as JSON arrays this list of iso stopword collections .

Helpful Parameters

These parameters are valid for both the Python function and the CLI (you can use stylecloud -h to get this information as well).

fas fa-flag

Helpful Notes

  • The primary goal of this package is to create data visualizations of text that provide a unique aesthetic. Word clouds have tradeoffs in terms of a statistically robust data visualization, but this is explicitly prioritizing coolness!
  • This package is released as a separate package from word_cloud due to the increase in scope and Python dependencies.
  • The ideal fonts for generating a good stylecloud are a) bold/high weight in order to increase readability, and b) condensed/low kerning to fit more text. Both of these traits are why Staatliches is the default font for stylecloud (overriding Droid Sans in the base word_cloud ).
  • You may want to consider doing post-processing after generating a stylecloud: for example, adding color masks, adding perception skew, feed it to a style transfer AI model, etc.
  • The default max_font_size of 200 is calibrated for the default size of 512 . If you increase the size , you may want to consider increasing max_font_size as well.
  • Due to the size of the included Font Awesome font files, they will not be updated on every new minor FA release.
  • It's recommended to use FA icons which are large with heavy weight; thin icons might constrain the text too much.
  • If using the default random-color-sampling method, it's recommended to use a qualitative palette. Inversely, if using a gradient, it's recommended to use a non qualitative palette (e.g. a sequential palette).

To Do

  • Support custom font files (e.g. Font Awesome Pro)
  • Create an app running stylecloud


Max Woolf ( @minimaxir )

Max's open-source projects are supported by his Patreon and GitHub Sponsors. If you found this project helpful, any monetary contributions to the Patreon are appreciated and will be put to good creative use.



Font Awesome icon font files included per the terms in its SIL OFL 1.1 License .

Staatliches font included per the terms in its SIL OFL 1.1 License .