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Scikit Image VS Imutils

Compare Scikit Image VS Imutils and see what are their differences

Scikit Image

scikit-image is a collection of algorithms for image processing.

Scikit Image Landing page
Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
Imutils

Imutils is a tool that is developed to make basic image processing functions like translation, rotation, resizing, skeletonization, and display Matplotlib images with the help of OpenCV and Python.

Imutils Landing page
Rating
0 reviews
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Grapple
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Which is more popular?

Based on our record, Scikit Image seems to be more popular. It has been mentioned 7 times since March 2021.

social mentions
7 vs 0
Data Science And Machine Learning popularity
70% vs 30%
alternatives listed
87 vs 19

Base details

Website, pricing, platforms and company facts side by side.

Scikit Image
Imutils
Website scikit-image.org pypi.org
Pricing
Open source
—
Listed in
Image Analysis OCR Machine Learning Data Science And Machine Learning +1
Photos & Graphics Tool Data Science And Machine Learning OCR Data Dashboard +2

Features and specs

What each product offers, as listed by its team.

Scikit Image 5 features
Imutils 0 features
  • Open Source
    Scikit-Image is open-source and free to use, making it accessible for individuals and organizations without licensing costs.
  • Integration with NumPy
    Scikit-Image is built on top of NumPy, allowing it to seamlessly integrate with a wide range of scientific Python libraries for efficient data processing.
  • Comprehensive Documentation
    The library offers extensive and well-documented resources, tutorials, and examples that help users to understand and implement various image processing tasks.
  • Wide Range of Algorithms
    It provides a large set of optimized algorithms for common image processing tasks like filtering, segmentation, and edge detection.
  • Active Community
    Scikit-Image has a supportive and active community, contributing to its constant growth and the addition of new features and improvements.

Possible disadvantages

  • Performance Limitations
    For very large images or performance-intensive tasks, Scikit-Image may not match the performance of specialized image processing libraries written in lower-level languages.
  • Steep Learning Curve for Beginners
    While well-documented, the wide range of options and flexibility can be overwhelming for beginners starting with image processing.
  • Limited Real-Time Processing
    Scikit-Image is not designed for real-time image processing applications, which can be a drawback for tasks requiring quick processing times.
  • Dependency on Python
    Being a Python library, it's limited to Python's ecosystem, which means users who are not familiar with Python might face a learning barrier.

No features have been listed yet.

Videos

Walkthroughs and reviews on video.

Scikit Image 1 video + Add
Imutils 0 videos + Add

Image analysis in Python with scipy and scikit image 1 | SciPy 2014 | Juan Nunez Iglesias, Tony Yu

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Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Scikit Image
Imutils
70% 70%
Data Science And Machine Learning
30% 30%
100% 100%
Image Processing And Management
0% 0%
47% 47%
Tool
53% 53%
100% 100%
Assets And Media
0% 0%

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Scikit Image no reviews yet
Imutils no reviews yet

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Scikit Image 7 mentions
Imutils 0 mentions
  • How to Estimate Depth from a Single Image
    We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics. - Source: dev.to / over 2 years ago
  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I... - Source: dev.to / almost 3 years ago
  • Is it possible to add a noise to an image in python?
    This is a good cv deep learning book with python examples https://www.manning.com/books/deep-learning-for-vision-systems. If you're pretty comfortable with the concepts of traditional image processing this is a good companion to cv2 (so... Source: almost 4 years ago

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Tracking Imutils since Jul 2021.

Alternatives to Scikit Image and Imutils

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