Software Alternatives & Startups
Register | Login

NumPy VS GIMP

Compare NumPy VS GIMP and see what are their differences

Kimp
Kimp is an unlimited design company, specializing in graphic design (including print and digital designs, custom illustrations, landing page designs and email designs) and video design. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

GIMP logo GIMP

GIMP is a multiplatform photo manipulation tool.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • GIMP Landing page
    Landing page //
    2018-09-30

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.

GIMP features and specs

  • Free and Open Source
    GIMP is completely free to use and open source, allowing users to download, modify, and distribute the software without any cost.
  • Cross-Platform Compatibility
    GIMP is compatible with multiple operating systems including Windows, macOS, and Linux, providing flexibility for users on different platforms.
  • Extensive Plugin Support
    GIMP supports a wide range of plugins, which can be used to enhance functionality and customize the software to suit specific needs.
  • Powerful Editing Tools
    GIMP offers a comprehensive set of image editing tools for tasks such as photo retouching, image composition, and image authoring, suitable for both beginners and advanced users.

Possible disadvantages of GIMP

  • Complex Interface
    The user interface can be overwhelming and not as intuitive as other commercial software, which can pose a steep learning curve for new users.
  • Performance Issues
    Some users experience performance issues, such as slow rendering times, especially when working with large files or applying multiple layers and effects.
  • Limited Professional Features
    Compared to industry-standard software like Adobe Photoshop, GIMP lacks some advanced features and tools that professionals might need for high-end work.
  • Inconsistent Updates
    Updates and new features can be inconsistent, as the development relies on a community of volunteers rather than a dedicated team.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Analysis of GIMP

Overall verdict

  • GIMP is generally considered a good alternative to commercial image editing software, especially for those who are looking for a cost-effective solution. While it may not have all the advanced features or polished interface of some paid options, it is powerful enough for most editing tasks and keeps improving with regular updates.

Why this product is good

  • GIMP (GNU Image Manipulation Program) is a free and open-source image editor that offers a wide range of tools and features for photo retouching, image composition, and image authoring. It is highly customizable and supports various plugins, making it a flexible option for different design needs. Its active community provides extensive support and resources for users.

Recommended for

    GIMP is recommended for beginners, hobbyists, and professionals who need a robust image editor without a financial commitment. It's suitable for users who are comfortable with learning open-source software and those who need a tool for basic to mid-level image editing tasks.

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

GIMP videos

+ Add

Gimp vs Photoshop - Photo Editing Software - COMPARISON 2018

More videos:

  • Review - GIMP 2020 Preview and GIMP 2019 Recap
  • Review - 10 Reasons to Use GIMP in 2020 Over Photoshop

Category Popularity

0-100% (relative to NumPy and GIMP)

NumPy

GIMP

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Graphic Design Software
0 0%
Graphic Design Software
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Image Editing
0 0%
Image Editing
100% 100

User comments

Share your experience with using NumPy and GIMP. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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

GIMP Reviews

  1. Clipping Path universe
    · Working at Clipping Path ·
    A great site

    This is a great site for photo editing and the software is supper.

    Pros:    Trusted
12 Best Free PosterMyWall Alternatives and Competitors
You can use GIMP as a basic paint tool, a high-quality photo editor, a tool to process many images at once online, a way to make lots of images, or even to change the format of an image. GIMP can do even more because you can add extra features to it using plugins and extensions. You can make it do just about anything you like.
Source: mockey.ai
10 Best Photopea Software Alternatives in 2024 (Free & Paid)
There are 1,439 votes for GIMP and 14 votes for Photopea. GIMP gets 4.3/5, and Photopea gets 4.8/5. These rankings come from real user reviews and can help you choose between the two based on your industry’s needs.
Source: www.geeksforgeeks.org
Best Adobe Photoshop alternatives of 2024
In our experience, GIMP was slightly less responsive and used a few more resources than its proprietary counterpart, but this can be easily forgiven on the basis that GIMP always has been and always will be free and open source.
Source: www.techradar.com
10 Best Adobe Illustrator Alternatives
Check out GIMP, one of the best free Illustrator alternatives which is ideal for any creative.
Source: www.ebaqdesign.com
16+ Best Web Design Software in 2022 (Ranked by a Trusted Expert)
GIMP stands for GNU Image Manipulation Program. It’s a free and open-source software for editing images and a valuable tool to have in your arsenal.
Source: onehourprofessor.com

Social recommendations and mentions

Based on our record, NumPy should be more popular than GIMP. It has been mentiond 122 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.

NumPy mentions (122)

View more

GIMP mentions (59)

  • Yurt Calculator
    Image Creative Commons (CC) BY-SA-NC 2005-2017, developed, designed and written by René K. Müller Graphics & illustrations made with Inkscape, Tgif, Gimp, PovRay, GD.pm Web-Site powered by FreeBSD & Debian/Linux - 100% Open Source. Source: over 3 years ago
  • I just cannot understand why they did Paint so bad
    Paint.NET for a familiar paradigm with nicer features. Pinta for an old school, simple Paint experience. Krita for more advanced drawing. Gimp for editing/manipulating photos. Source: over 3 years ago
  • Had to make This after seeing all the post over and over again
    If you don't want to pay for photoshop, check out the Gnu Image Manipulation Program at http://gimp.org which is free. It has most of what you'd want photoshop for. Source: over 3 years ago
  • Super, just Super.
    As good as this suggestion is, without proper links and explanation it means nothing. GEGL is a type of plugins for GIMP, which can adjust the settings of already present effects and create new ones. The most notable ones are made by LinuxBeaver. Source: over 3 years ago
  • Useful apps for Ux designers
    GIMP: FOSS alternative to Photoshop. Like Inkscape, it’s not directly related to UI, but might be handy. Source: almost 4 years ago
View more

What are some alternatives?

When comparing NumPy and GIMP, 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.

Adobe Photoshop - Adobe Photoshop is a webtop application for editing images and photos online.

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

Affinity Photo - Affinity is the imaging and design suite for creative professionals exclusively for Mac.

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

Krita - Krita is a professional FREE and open source painting program. It is made by artists that want to seaffordable art tools for everyone. Concept art. texture and matte painters, illustrations and comics.

Loading...