wordcloud
A little word cloud generator
Decision gist · record as of 2026-08-14
Yes, if you need straightforward word cloud visualization. The package is stable, permissively licensed, and widely used (top 5000 on PyPI). Install friction is moderate due to C compilation requirements on some platforms, but wheels cover common Python versions and architectures. Maintenance is aging but the library is mature and has no known vulnerabilities. Suitable for exploratory text analysis, reporting, and publication graphics.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires numpy, pillow, and matplotlib.
- If no wheel is available for your Python version and OS, a C compiler must be installed before pip install will succeed.
- Medium install friction due to compiled C extensions; pre-built wheels available for Python 3.10–3.12 on common platforms (macOS, Linux, Windows).
License · maintenance · safety
MIT (permissive) — MIT-licensed with permissive terms. Package includes DroidSansMono.ttf, an Apache-licensed Google font that is optional and can be replaced by setting font_path.
last release 2026-01-22 (204 days) · last repo commit 2026-01-22 · 10,537 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 5,869,157 downloads/mo, #2,021 on PyPI
Alternatives
Verify before relying
pip install wordcloud
from wordcloud import WordCloud
import matplotlib.pyplot as plt
wc = WordCloud().generate('your text here')
plt.imshow(wc)
plt.show()- Whether the aging maintenance status (last commit 2026-01-22, no recent activity) affects bug fixes or compatibility with newer Python/library versions.
- Performance characteristics and memory usage for very large text inputs or high-resolution output images.
What it is and what it does
wordcloud is a Python library that transforms text input into visual word clouds—images where words are rendered at sizes proportional to their frequency in the source text. It wraps numpy, pillow, and matplotlib to handle the computational and rendering work. The package is straightforward to use: instantiate a WordCloud object, call generate() with your text, and display the result via matplotlib or save it as an image file.
The library supports command-line usage via wordcloud_cli for direct generation from text files or piped input (e.g., from pdftotext), making it useful for quick one-off visualizations. It allows customization of colors, fonts, dimensions, and masking shapes. The core dependency on compiled C extensions means installation may require a C compiler on platforms without pre-built wheels, though wheels are available for recent Python versions on standard architectures.
Use it for
- Generate visual summaries of document or article text to quickly identify dominant themes and word frequency patterns.
- Create word clouds from social media feeds, survey responses, or user-generated content for exploratory data analysis.
- Produce publication-ready visualizations for reports, presentations, or blog posts showing text emphasis and topic prominence.
- Batch-process multiple text files via the command-line tool to generate word clouds without writing Python code.
- Analyze multilingual text (e.g., Arabic) by configuring appropriate fonts and language settings.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need straightforward word cloud visualization.
The package is stable, permissively licensed, and widely used (top 5000 on PyPI). Install friction is moderate due to C compilation requirements on some platforms, but wheels cover common Python versions and architectures. Maintenance is aging but the library is mature and has no known vulnerabilities. Suitable for exploratory text analysis, reporting, and publication graphics.
Install
wordcloud on PyPI
Before you install
Medium install friction due to compiled C extensions; pre-built wheels available for Python 3.10–3.12 on common platforms (macOS, Linux, Windows). Requires a C compiler if wheels unavailable for your Python version. Aging maintenance status with last commit 2026-01-22 and no recent activity.
Requires numpy, pillow, and matplotlib. If no wheel is available for your Python version and OS, a C compiler must be installed before pip install will succeed.
License in practice
MIT-licensed with permissive terms. Package includes DroidSansMono.ttf, an Apache-licensed Google font that is optional and can be replaced by setting font_path.
Quickstart
pip install wordcloud
from wordcloud import WordCloud
import matplotlib.pyplot as plt
wc = WordCloud().generate('your text here')
plt.imshow(wc)
plt.show()Verify before relying
- Whether the aging maintenance status (last commit 2026-01-22, no recent activity) affects bug fixes or compatibility with newer Python/library versions.
- Performance characteristics and memory usage for very large text inputs or high-resolution output images.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 3 packagesnumpypillowmatplotlib |
| Maintenance | Aging 204 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 5,869,157 / month, #2,021 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: wordcloud-1.9.6-cp310-cp310-macosx_10_9_x86_64.whl; wordcloud-1.9.6-cp310-cp310-macosx_11_0_arm64.whl; wordcloud-1.9.6-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl; wordcloud-1.9.6-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl; wordcloud-1.9.6-cp310-cp310-musllinux_1_2_aarch64.whl; wordcloud-1.9.6-cp310-cp310-musllinux_1_2_x86_64.whl; wordcloud-1.9.6-cp310-cp310-win32.whl; wordcloud-1.9.6-cp310-cp310-win_amd64.whl; wordcloud-1.9.6-cp311-cp311-macosx_10_9_x86_64.whl; wordcloud-1.9.6-cp311-cp311-macosx_11_0_arm64.whl; wordcloud-1.9.6-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl; wordcloud-1.9.6-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl; wordcloud-1.9.6-cp311-cp311-musllinux_1_2_aarch64.whl; wordcloud-1.9.6-cp311-cp311-musllinux_1_2_x86_64.whl; wordcloud-1.9.6-cp311-cp311-win32.whl; wordcloud-1.9.6-cp311-cp311-win_amd64.whl; wordcloud-1.9.6-cp312-cp312-macosx_10_13_x86_64.whl; wordcloud-1.9.6-cp312-cp312-macosx_11_0_arm64.whl; wordcloud-1.9.6-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl; wordcloud-1.9.6-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
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