imutils
Simplify image processing tasks with OpenCV and Python.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is imutils?
Imutils is a library that provides convenience functions to make basic image processing operations easier using OpenCV and Python. It simplifies tasks such as translation, rotation, resizing, skeletonization, and displaying images in Matplotlib.
Key differentiator
“Imutils stands out as a lightweight, easy-to-use library for basic image processing tasks in OpenCV and Python, making it ideal for quick prototyping and educational purposes.”
Capability profile
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Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
Imutils is tightly coupled with Python and OpenCV, making it difficult to integrate with projects that use different programming languages or alternative image processing frameworks.
Compared to more popular libraries like Pillow or OpenCV itself, Imutils has a smaller user base which results in fewer contributions, less documentation, and fewer third-party integrations.
The last major update to imutils was released in 2019. This lack of recent activity could indicate that the library is no longer actively maintained, which poses risks for long-term support and bug fixes.
The official documentation does not provide extensive guides or examples. This can make it challenging for new users to understand how to use the library effectively without additional resources.
Fit analysis
Who is it for?
✓ Best for
Python developers working on small-scale image processing tasks who need a lightweight library.
Students and educators teaching basic computer vision techniques using OpenCV and Python.
✕ Not a fit for
Projects requiring advanced or specialized image processing features beyond the scope of imutils.
Large-scale applications where performance optimization is critical.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
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Next step
Get Started with imutils
Step-by-step setup guide with code examples and common gotchas.