Software Alternatives, Accelerators & Startups

Scikit-learn VS GB Studio

Compare Scikit-learn VS GB Studio 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.

GB Studio logo GB Studio

A free and easy to use game creator for the GameBoy
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • GB Studio Landing page
    Landing page //
    2022-10-22

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

GB Studio videos

GB Studio 2.0 -- Awesome GameBoy Development Gets More Awesome

More videos:

  • Review - GB Studio -- A Free GameBoy Open Source JRPG Game Engine
  • Review - Nara Makes Games - Larger Sprites in GB Studio Using Child Actors

Category Popularity

0-100% (relative to Scikit-learn and GB Studio)
Data Science And Machine Learning
Gaming
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Gaming Tools
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 GB Studio

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...

GB Studio Reviews

Best Game Engines for Linux in 2021
GB Studio is best suited for top-down 2D JRPG style adventure games (+ platformers, point and click games and shoot them ups in GB Studio 2 Beta).
Source: kerneltips.com

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than GB Studio. It has been mentiond 29 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 (29)

  • 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 / 3 days 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 / 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 / about 1 year 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
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GB Studio mentions (4)

  • Bitsummit 2023: Steam Decks Everywhere, No VR, and Impressive Indie Games
    Or install the Linux version of GB Studio. :) https://gbstudio.dev. - Source: Hacker News / 11 months ago
  • Game Boy Competition 2023
    This is a game jam where you make a Game Boy game in three months. If you don't know a lot of programming you can use GB Studio, you can learn the nitty gritty of how the Game Boy works by using assembly programming with RGBDS, or you can use C with GBDK or ZGB. Source: about 1 year ago
  • Can games be programmed for RetroPie?
    If you want a more "visual" program check out http://gbstudio.dev/ it's really simple and has some very simple templates based on classic GameBoy games. Source: over 1 year ago
  • This Game Boy will Never Give You Up. (Sound On)
    Created with https://github.com/Y0UR-U5ERNAME/gbs-image-colorizer, and http://gbstudio.dev. Source: over 2 years ago

What are some alternatives?

When comparing Scikit-learn and GB Studio, 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.

PHP Terminal Gameboy Emulator - Want to play Dr Mario or Pokémon on your server terminal?

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

Nintendo Switch Lite - A new compact version of the Nintendo Switch

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

Xbox Adaptive Controller - A controller for gamers with limited mobility.