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Krita VS Scikit-learn

Compare Krita VS Scikit-learn and see what are their differences

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  3. » Reviews
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Krita logo 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.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Krita Landing page
    Landing page //
    2024-05-31
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Krita features and specs

  • Free and Open Source
    Krita is completely free to use, and its source code is available to the public, which allows for extensive customization and community-driven improvements.
  • Powerful Brush Engine
    Krita offers a highly configurable and dynamic brush engine, suitable for various art styles and techniques, from digital painting to textured brushes.
  • Rich Feature Set
    The software includes a comprehensive suite of features such as HDR painting, layer management, color wheels, advanced selections, and many more.
  • Cross-Platform Compatibility
    Krita is available on multiple platforms including Windows, macOS, and Linux, providing flexibility for users across different operating systems.
  • Active Development and Community
    Krita benefits from regular updates and an active community that offers tutorials, forums, and additional resources to help users.

Possible disadvantages of Krita

  • Learning Curve
    Due to its extensive feature set, new users might find Krita overwhelming at first, requiring time and effort to learn and master the tool.
  • Performance Issues
    Some users have reported performance lags and stability issues, especially when working with very large files or complex projects.
  • Limited Vector Tools
    While Krita excels in raster graphics, its vector tools are not as advanced or comprehensive compared to specialized vector graphic software like Adobe Illustrator.
  • Less Industry Standard
    Krita, despite its capabilities, is not as widely adopted in professional industries compared to other software like Photoshop, potentially affecting collaboration and job opportunities.
  • Hardware Dependency
    Optimal performance in Krita can be highly dependent on the user's hardware configuration, necessitating more powerful machines for high-end work.

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.

Krita videos

+ Add

LET'S TRY: Krita!! (free art program)

More videos:

  • Review - Krita - FREE Art Program Review

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 Krita and Scikit-learn)

Krita

Scikit-learn

Digital Drawing And Painting
100 100%
Digital Drawing And Painting
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Graphic Design Software
100 100%
Graphic Design Software
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 Krita and Scikit-learn

Krita Reviews

Best Adobe Photoshop alternatives of 2024
Krita is open-source and free alternative to Adobe Photoshop, backed by a huge community of developers and talented artists who share artwork and methods. If you’re looking for an active user base that’s invested in discussing and sharing art, Krita is a great Photoshop alternative for drawing.
Source: www.techradar.com
10 BEST Procreate Alternatives For Android For 2023
Krita offers a natural sketching experience digitally. You get textures along with default brushes that aid you in creating various art types. You can customize the brushes as well. The app also has an integrated reference panel and color wheel.
Source: www.softwaretestinghelp.com
7 BEST Procreate Alternatives for Android (2023)
Krita’s provides a Gradient tool to help you create stunning artwork. It offers many assets, such as perspective halftone filters, etc., to help you draw efficiently. Krita also has comic textures and other templates. The blending works well, and it gives a lot of creative options.
Source: www.guru99.com
15 Best Procreate Alternatives For Android 2023
Krita is a fun app with many innovative and common features, including brush engines for painting and sketching, stabilizers for freehand inking, a distraction-free canvas, and assistants for creating complex scenes.
Source: rigorousthemes.com
Our 6 Favorite Free Photoshop Alternatives (2022 Update)
Krita is a free and open-source painting program, originally developed by a team of rag-tag students and later expanded to become a full-scale professional drawing program that rivals, and in my opinion, surpasses Photoshop in its drawing capabilities.
Source: www.cgdirector.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, Krita should be more popular than Scikit-learn. It has been mentiond 300 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.

Krita mentions (300)

  • Ask HN: Which "open-source alternatives" have succeeded?
    Fairly well known on HN by now but Krita is also excellent and simple image editor and painting app like Photoshop was 20 years ago https://krita.org/en/. - Source: Hacker News / 11 months ago
  • Cancel Adobe if you are a creative under NDA with your clients
    Well, there is Serif's suite: https://affinity.serif.com/en-us/designer/ (There's also a Photo and page layout app) or the open-source stuff: - https://krita.org/en/ - https://inkscape.org/ - https://www.scribus.net/. - Source: Hacker News / 12 months ago
  • Cancel Adobe if you are a creative under NDA with your clients
    These are all valid alternatives with real world use, but none of them are Photoshop, and that's kinda the problem we face. Krita - https://krita.org/en/. - Source: Hacker News / 12 months ago
  • Photoshop ToS grants Adobe access to user projects for 'content moderation'
    I migrated away from Adobe after Photoshop CS6 which I believe was the last release before they switched over to a subscription only pricing model. If you're looking for a Photoshop alternative to break away from the incredibly user hostile relationship with Adobe I can heartily recommend either Krita (open source) or Pixelmator (Mac only). Pixelmator Pro is my daily driver for image related work and is incredibly... - Source: Hacker News / 12 months ago
  • Paint.net
    Check out Krita[0]. It's what I used after leaving Windows - a little different, maybe 25% more complicated, but has everything you need. If you just want a MS Paint replacement, KolourPaint[1] is the way to go [0] https://krita.org/en/. - Source: Hacker News / about 1 year ago
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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
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What are some alternatives?

When comparing Krita 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.

GIMP - GIMP is a multiplatform photo manipulation tool.

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

MyPaint - MyPaint is a fast, distraction-free, and easy painting tool for digital artists.

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

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