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NumPy VS ImageMagick

Compare NumPy VS ImageMagick and see what are their differences

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

ImageMagick logo ImageMagick

ImageMagick is a software suite to create, edit, and compose bitmap images.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • ImageMagick Landing page
    Landing page //
    2023-05-10

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

ImageMagick features and specs

  • Versatility
    ImageMagick supports a wide range of image formats and offers extensive functionality for manipulating, converting, and processing images.
  • Open Source
    It is an open-source tool, meaning it is freely available for anyone to use and modify. This fosters a community of contributors who continually improve the software.
  • Command-Line Interface
    ImageMagick can be used via command-line, which suits automated processes and scripts, making it highly useful for batch processing of images.
  • Cross-Platform
    It is compatible with various operating systems, including Windows, macOS, and Linux, offering flexibility to users across different platforms.
  • API Availability
    ImageMagick provides APIs for several programming languages, including C, C++, Perl, and Python, enabling easy integration into various applications.

Possible disadvantages of ImageMagick

  • Learning Curve
    The extensive features and command-line interface can be daunting for beginners, requiring a significant time investment to learn and use effectively.
  • Performance
    While powerful, ImageMagick can be less performant compared to some specialized, optimized image processing libraries, especially for large-scale image processing tasks.
  • Complexity
    The sheer number of options and configurations can lead to complexity. Users may find it challenging to determine the right set of parameters for specific tasks.
  • Documentation
    While extensive, the documentation can sometimes be fragmented or difficult to parse, which may hinder new users from quickly finding exactly what they need.
  • Security Concerns
    As with many powerful tools, incorrect or unsecured use of ImageMagick can expose systems to vulnerabilities, especially when processing untrusted input.

NumPy videos

+ Add

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

ImageMagick videos

+ Add

Imagemagick - The Thinking 🤔 Man's Image Editor

More videos:

  • Review - Gamedev Toolbox: ImageMagick
  • Review - Imagemagick for CHADS!: Canvases, Plasma, Composites, Geometry

Category Popularity

0-100% (relative to NumPy and ImageMagick)

NumPy

ImageMagick

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Image Editing
0 0%
Image Editing
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Image Optimisation
0 0%
Image Optimisation
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 NumPy and ImageMagick

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.
Source: www.analyticsvidhya.com
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

ImageMagick Reviews

We have no reviews of ImageMagick yet.
Be the first one to post

Social recommendations and mentions

NumPy might be a bit more popular than ImageMagick. We know about 119 links to it since March 2021 and only 80 links to ImageMagick. 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.

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
View more

ImageMagick mentions (80)

  • Cut cube image panorama
    Before you begin, make sure you have installed ImageMagick, a powerful tool for image processing. - Source: dev.to / 11 months ago
  • Making a YouTube Short
    ImageMagick is a pretty standard tool for image manipulation and it's got a pretty powerful command line interface which honestly is often overwhelming but fortunately there are plenty of forums, stack overflow, etc to get good examples. - Source: dev.to / over 1 year ago
  • Plato's Socrates a Kinetic Visual Novel for the Mega Drive aka Sega Genesis and Android with graphics made with Stable Diffusion.
    The graphics then turned to the 9-bit palette and 15 or 16 colours with the ImageMagick. Source: over 1 year ago
  • FFmpeg Explorer
    But it can be quite large. You can also use the appropriate "start" and "duration" options to selectively get a portion out. Animated gifs are pretty inefficient as it is so I'm usually happy with the above, and make sure to only restrict to 5-10s max, but there are other programs to try and help reduce the size, like gifsicle [1] and imagemagick [2]. [0]... - Source: Hacker News / over 1 year ago
  • Really Good Emails really scary personalization
    I used to do stuff like this programmatically with ImageMagick. https://imagemagick.org/index.php. Source: almost 2 years ago
View more

What are some alternatives?

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

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

safetoconvert - Are you tired of restrictions and limitations when it comes to downloading your favorite YouTube videos? Look no further! Safe Converter is here to provide you with an exceptional downloading experience that’s safe, secure, and hassle-free.

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

Caesium Image Compressor - Compress your pictures up to 90% without visible quality loss.

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

ConvertIcon! - Converticon is a simple icon utility.

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