dhash VS pillow

Compare dhash vs pillow and see what are their differences.

dhash

Python library to calculate the difference hash (perceptual hash) for a given image, useful for detecting duplicates (by benhoyt)
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dhash pillow
2 43
329 11,702
- 1.8%
1.8 9.9
over 1 year ago 1 day ago
Python Python
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

dhash

Posts with mentions or reviews of dhash. We have used some of these posts to build our list of alternatives and similar projects.

pillow

Posts with mentions or reviews of pillow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-24.

What are some alternatives?

When comparing dhash and pillow you can also consider the following projects:

fastdup - fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

scikit-image - Image processing in Python

python-barcode - ㊙️ Create standard barcodes with Python. No external dependencies. 100% Organic Python.

wand - The ctypes-based simple ImageMagick binding for Python

PyAutoLens - PyAutoLens: Open Source Strong Gravitational Lensing

ImageMagick - 🧙‍♂️ ImageMagick 7

conjure - Magically transform your images.

pycairo - Python bindings for cairo

pyPhotoDNA - Calculate PhotoDNA hashes using Python

thumbor - thumbor is an open-source photo thumbnail service by globo.com

image-similarity - Image similarity detection using wavelet hashing algorithm

neural-enhance - Super Resolution for images using deep learning.