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Scikit-learn VS raylib

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

Scikit-learn logo Scikit-learn

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

raylib logo raylib

Cross-platform, open-source game development library in C.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • raylib Landing page
    Landing page //
    2022-07-08

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

raylib videos

Raylib 3.0 Released -- The Best Way to Learn C or C++ Game Development*

More videos:

  • Tutorial - Raylib tutorial | Episode 1 | Setting up Raylib and Creating a Window
  • Review - RayLib Receives An Epic MegaGrant!

Category Popularity

0-100% (relative to Scikit-learn and raylib)
Data Science And Machine Learning
Game Engine
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Game Development
0 0%
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 Scikit-learn and raylib

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...

raylib Reviews

  1. Raylib, a hidden Powerhouse

    I got to know Raylib just a few days ago taking a course on learning C++ to start using Unreal Engine. I have a background with assembler(a long time ago), Python/Pygame, C#/Monogame, and Unity/C#. Within the few days I used it, I am simply blown away by the simplicity but yet extremely powerful Raylib library. The routines and functions are very clear and access is very simple. Everything is well documented. I am yet to go in-depth with the library but I never had such an experience in the past building games, which is my main interest. If you stumbled upon this by chance stop and give it a go. You'll never regret it. Right now I am thinking of the many ways I can use this with the languages I know.

    🏁 Competitors: MonoGame, Pygame

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than raylib. It has been mentiond 28 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.

Scikit-learn mentions (28)

  • 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 / 3 months 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 / 11 months ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
  • Help on using R for Machine Learning?
    Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
View more

raylib mentions (6)

  • Are there any game engines that support 3D that are more code orientated?
    It sounds like you're maybe asking for code frameworks/libraries instead of engines? Something like https://raylib.com/ might be better suited? Source: over 1 year ago
  • How can I make graphics games using cpp?
    I would recommend SFML or Raylib, they're both excellent and fairly easy to set up, plus have really good documentation. And if you decide to really dig into them you'll eventually be able to create any game you want. Source: over 1 year ago
  • Best C++ libraries for 2D game development
    I'd also recommend raylib as an option. Check out its website: http://raylib.com/. It is beginner friendly enough with good cheatsheet and examples. Source: almost 2 years ago
  • Question about graphic/game libraries
    Finally, you can use raylib.com , a C library but it has a great interface and multiple examples. Howeve, it is not wide-spread like SDL. Source: almost 3 years ago
  • confused new dev
    The easiest option is C# and Unity, even though I think at some point (if you want to experience real programming) you'd better off using a framework. Source: almost 3 years ago
View more

What are some alternatives?

When comparing Scikit-learn and raylib, 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.

SFML - SFML provides a simple interface to the various components of your PC, to ease the development of games and multimedia applications. It is composed of five modules: system, window, graphics, audio and network.

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

SDL - Simple DirectMedia Layer is a cross-platform multimedia library designed to provide low level...

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

Vulkan - Vulkan is a new generation graphics and compute API that provides high-efficiency, cross-platform access to modern GPUs used in a wide variety of devices from PCs and consoles to mobile phones and embedded platforms.