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Which is more popular?
Based on our record, NumPy
should be more popular than GIMP.
It has been mentioned 122 times since March 2021.
social mentions
59 vs 122
Image Editing popularity
100% vs 0%
alternatives listed
240+ vs 189
Base details
Website, pricing, platforms and company facts side by side.
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
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.
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
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.
Analysis
An editorial look at what each product does well and who it suits.
GIMPNumPy
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.
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.
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...
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.
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...
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...
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...
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...
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
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages
Familiarity with Python as a language is assumed; if you need a quick...
- Source: dev.to
/
about 1 year ago
AI starts with math and coding. You don’t need a PhD—just high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI,...
- Source: dev.to
/
over 1 year ago
Canva is a graphic-design platform with a drag-and-drop interface to create print or visual content while providing templates, images, and fonts. Canva makes graphic design more straightforward and accessible regardless of skill level.
Adobe Photoshop
Canva
Affinity Photo
Krita
Pixlr
Photopea
Pixelmator
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
Figure Eight
