Software Alternatives & Reviews

SimpleCV VS NumPy

Compare SimpleCV VS NumPy and see what are their differences

SimpleCV logo SimpleCV

SimpleCV is an open source framework for building computer vision applications.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • SimpleCV Landing page
    Landing page //
    2019-02-08
  • NumPy Landing page
    Landing page //
    2023-05-13

SimpleCV videos

installation of simplecv

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to SimpleCV and NumPy)
Data Science And Machine Learning
OCR
100 100%
0% 0
Data Science Tools
0 0%
100% 100
Image Analysis
100 100%
0% 0

User comments

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Reviews

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

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.

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy seems to be more popular. It has been mentiond 107 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

SimpleCV mentions (0)

We have not tracked any mentions of SimpleCV yet. Tracking of SimpleCV recommendations started around Mar 2021.

NumPy mentions (107)

  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 1 month ago
  • JSON in data science projects: tips & tricks
    Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / about 2 months ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 4 months ago
  • A Comprehensive Guide to NumPy Arrays
    Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago
  • Beginning Python: Project Management With PDM
    A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
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What are some alternatives?

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

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.

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