Software Alternatives, Accelerators & Startups

PyPy VS Scikit-learn

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

PyPy logo PyPy

PyPy is a fast, compliant alternative implementation of the Python language (2.7.1).

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • PyPy Landing page
    Landing page //
    2023-10-15
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

PyPy videos

PyPy - the hero we all deserve. - Amit Ripshtos - PyCon Israel 2019

More videos:

  • Review - Using the PyPy runtime for Python
  • Review - How PyPy runs your program

Scikit-learn videos

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 PyPy and Scikit-learn)
Website Builder
100 100%
0% 0
Data Science And Machine Learning
Website Design
100 100%
0% 0
Data Science 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 PyPy and Scikit-learn

PyPy Reviews

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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...

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than PyPy. 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.

PyPy mentions (5)

  • Yes, Ruby is fast, but…
    Python: My Python-foo is limited, so I only ported the last problem (a simple while loop) and ran it with PyPy. It takes a bit less of time:. - Source: dev.to / 26 days ago
  • Python 3.12: A Game-Changer in Performance and Efficiency
    If you r looking for performance with almost fully supported C Extensions , pypy.org for you , 20x faster than cpython still. Source: about 1 year ago
  • What change should Python 4 bring, in your opinion?
    I think you never heard of PyPy it is drop in replacable python written in Python and It is jit avg 5x faster than Python , 20x faster in some cases. Https://pypy.org. Source: about 2 years ago
  • 4x smaller, 50x faster
    Well, pypy is a thing. Of course, your overall point still stands. Source: over 2 years ago
  • Microsoft is hiring, looking to speed up cpython
    Why don't they just sponsor pypy.org ? Its already 4x faster in average , 20x in many cases. We are using in 4 of our projects with one of them 10k active concurrent connections max , and its absolutely amazing. Its a realtime telemedince/chatroom (OnDoctor check in playstore). And we host it on 40$ Digital ocean machine. A lot less memory usage and so much faster. Source: almost 3 years ago

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 / 12 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
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What are some alternatives?

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

cx_Freeze - cx_Freeze is a set of scripts and modules for freezing Python scripts into executables in much the...

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

PyInstaller - PyInstaller is a program that freezes (packages) Python programs into stand-alone executables...

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

nuitka - Nuitka is a Python compiler.

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