Tools/python-pillow/Pillow

Pillow

Python Imaging Library (Fork)

13.8k ★+23/wkgrowthPythonMIT-CMU Licensetrending

The Lens

By Erik Loyd, SaaS CEO and former COO/CFO of an AWS Premier Partner.

Updated Mar 2026

Pillow is the Python library for image manipulation: resize, crop, add text, convert formats, apply filters, generate thumbnails. It's the maintained fork of PIL (Python Imaging Library), which was the standard for 15+ years before it was abandoned. Pillow picked it up and kept it alive.

open source (HPND license, basically do whatever you want). You pip install Pillow, import PIL, and start manipulating images. It supports JPEG, PNG, GIF, TIFF, BMP, WebP, and dozens more formats.

Everything is free. No paid tier, no commercial version. It's a Python package: you install it and use it.

The catch: Pillow is great for basic to moderate image processing but it's CPU-bound and single-threaded. If you're processing thousands of images or need real-time manipulation, look at OpenCV (faster, C++ backed) or libvips (dramatically less memory usage). Pillow loads entire images into memory, which kills you on large files. For a web app generating thumbnails or watermarking uploads, Pillow is perfect. For a pipeline processing 10,000 high-res photos, you'll want something faster.

Free vs Self-Hosted vs Paid

fully free

Fully open source under the HPND (Historical Permission Notice and Disclaimer) license, essentially permissive, do what you want, no copyleft restrictions.

Cost of use: $0. pip install Pillow and go. No API keys, no accounts, no rate limits.

Infrastructure impact: Pillow runs on your machine or server. Image processing is CPU-intensive; budget accordingly if you're processing at scale. But the library itself adds zero cost.

Free. A pip install with zero strings attached.

What to do by team size

Solo
free; the standard Python image library
Small team
free; handles most image processing needs
Medium team
free, but evaluate libvips if processing volume is high
Large team
free, and likely already in your stack; consider dedicated image services at real scale
Self-hosting ops:trivial

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Score
86/100 · A
Adoption27/30
Maintenance25/25
Community9/20
License15/15
Analysis10/10

A low score is not a verdict on quality. Young and niche tools start low by design. How we calculate scores

Trust Signals

High adoption: 13,523 starsActive community: 2,424 forks

License: MIT-CMU License

Review license manually.

Commercial use: ✗ Restricted

About

Owner
Pillow (Organization)
Stars
13,840
Forks
2,516

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