Software Alternatives & Reviews

Mahotas VS SimpleCV

Compare Mahotas VS SimpleCV and see what are their differences

Mahotas logo Mahotas

Mahotas is a computer vision and image processing library for Python.

SimpleCV logo SimpleCV

SimpleCV is an open source framework for building computer vision applications.
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  • SimpleCV Landing page
    Landing page //
    2019-02-08

Mahotas videos

12. Working with Mahotas and Jupyter

More videos:

  • Review - Mocambicano a empinar de bike nas mahotas

SimpleCV videos

installation of simplecv

Category Popularity

0-100% (relative to Mahotas and SimpleCV)
Data Science And Machine Learning
Python Tools
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OCR
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100% 100
Software Libraries
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User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Mahotas and SimpleCV

Mahotas Reviews

10 Python Libraries for Computer Vision
Mahotas is a computer vision library that focuses on speed and efficient memory usage. It includes a variety of features for image processing, such as edge detection, texture analysis, and feature extraction. Mahotas is particularly useful for projects requiring real-time image analysis.
Source: clouddevs.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Mahotas is another image processing and computer vision library that was designed for bioimage informatics. It reads and writes images in NumPy array, and is implemented in C++ with a smooth python interface.
Source: neptune.ai
5 Ultimate Python Libraries for Image Processing
Mahotas is a Python library for image processing and computer vision that was originally designed for bioimage Informatics. But other computer vision tasks can be performed using it as well. It is originally written in C++ which makes it pretty fast and it has no dependencies other than NumPy.
Top Python Libraries For Image Processing In 2021
Mahotas It is another open-source python library for computer vision and image processing. It was designed for biometric informatics. It provides many algorithms which are written in C++ for speed with a good python interface. It read and writes images in NumPy arrays.

SimpleCV Reviews

7 Best Computer Vision Development Libraries in 2024
BoofCV, SimpleCV, CAFFE, Detectron2, and OpenVINO further contribute to the field of computer vision, each catering to specific needs and applications.
10 Python Libraries for Computer Vision
SimpleCV is designed to simplify computer vision tasks by providing an intuitive interface for image analysis and manipulation. It supports features like image filtering, feature detection, and interactive GUI-based tools for experimentation and visualization.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
SimpleCV is an open-source framework for building computer vision applications using Python. It provides several tools and interfaces for developing computer vision applications, such as image processing, camera access, and machine learning algorithms. SimpleCV also includes several pre-built modules for tracking, filtering, and segmentation.
Source: www.uubyte.com
5 Ultimate Python Libraries for Image Processing
SimpleCV is a python framework that uses computer vision libraries like OpenCV. This library is quite simple and easy to use and can be really helpful for quick prototyping.

What are some alternatives?

When comparing Mahotas and SimpleCV, you can also consider the following products

python pillow - The friendly PIL fork (Python Imaging Library). Contribute to python-pillow/Pillow development by creating an account on GitHub.

OpenCV - OpenCV is the world's biggest computer vision library

Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.

pgmagick - Yet Another Python wrapper for GraphicsMagick

Amazon Rekognition - Add Amazon's advanced image analysis to your applications.

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