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GIMP VS Scikit-learn

Compare GIMP VS Scikit-learn 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. featured
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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

GIMP logo GIMP

GIMP is a multiplatform photo manipulation tool.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • GIMP Landing page
    Landing page //
    2018-09-30
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

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.

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

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

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to GIMP and Scikit-learn)

GIMP

Scikit-learn

Graphic Design Software
100 100%
Graphic Design Software
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Image Editing
100 100%
Image Editing
0% 0
Data Science Tools
0 0%
Data Science Tools
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 GIMP and Scikit-learn

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

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, GIMP should be more popular than Scikit-learn. It has been mentiond 59 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.

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: about 2 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: about 2 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: about 2 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 2 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: over 2 years ago
View more

Scikit-learn mentions (31)

  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
  • 🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖
    Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 11 months ago
  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / about 1 year ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / almost 2 years ago
View more

What are some alternatives?

When comparing GIMP and Scikit-learn, you can also consider the following products

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

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

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.

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

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

NumPy - NumPy is the fundamental package for scientific computing with Python

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