Software Alternatives, Accelerators & Startups

Pictus VS NumPy

Compare Pictus VS NumPy and see what are their differences

Pictus logo Pictus

Pictus is a fast, free image viewer that enables Windows to see thumbnails of supported formats, such as PSD. Give it a spin today!

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Pictus Landing page
    Landing page //
    2018-12-24

  • NumPy Landing page
    Landing page //
    2023-05-13

Pictus videos

Photoshop Psd Thumbnail View in Explorer | Psd Pictus Codec Software

More videos:

  • Demo - Free Photo Viewer Apps

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 Pictus and NumPy)
Media Player
100 100%
0% 0
Data Science And Machine Learning
Freelance Marketplace
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

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

Pictus Reviews

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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 a lot more popular than Pictus. While we know about 111 links to NumPy, we've tracked only 1 mention of Pictus. 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.

Pictus mentions (1)

  • Is there a way to open multiple photos without borders and resizable so I can maximize screen space? Almost like a widget or something? The way I'm doing it in the photo has too much gray area and toolbars.
    Pictus is my go-to image viewer. It's great. Source: almost 3 years ago

NumPy mentions (111)

  • Documenting my pin collection with Segment Anything: Part 3
    NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 3 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 8 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 10 days ago
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
  • 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 / 3 months ago
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What are some alternatives?

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

SageThumbs - SageThumbs is a powerful shell extension allowing to preview enormous amount of image formats...

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

MysticThumbs - MysticThumbs generates thumbnails of many image types not natively supported by Windows.

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

ThumbView - ThumbView enables image thumbnails and tooltips in Microsoft Windows XP Explorer (does not work on...

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