Software Alternatives, Accelerators & Startups

SIMON VS Scikit-learn

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

SIMON logo SIMON

Powerful machine learning knowledge discovery platform

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • SIMON Landing page
    Landing page //
    2023-08-27

SIMON is powerful, flexible, open-source and easy to use machine learning software. Home for all your knowledge discovery questions!

  • Scikit-learn Landing page
    Landing page //
    2022-05-06

SIMON

$ Details
freemium
Platforms
Windows Mac OSX Linux Cross Platform PHP Web Docker
Release Date
2019 August

SIMON videos

Love, Simon - Movie Review

More videos:

  • Review - Love, Simon - Movie Review
  • Review - [REVIEW] Simon Micro, memory game

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 SIMON and Scikit-learn)
AI
100 100%
0% 0
Data Science And Machine Learning
Data Science Tools
0 0%
100% 100
Developer Tools
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare SIMON and Scikit-learn

SIMON Reviews

  1. 👍 Pros:    Advanced features|Automation|Advanced drawing tools|Accurate|Scalable

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 seems to be more popular. 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.

SIMON mentions (0)

We have not tracked any mentions of SIMON yet. Tracking of SIMON recommendations started around Mar 2021.

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 / almost 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
  • 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: over 1 year ago
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What are some alternatives?

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

Amazon Machine Learning - Machine learning made easy for developers of any skill level

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

Xano - Xano is the fastest way to build a scalable backend for your App using No Code.

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

Mateverse by Mate Labs - Build Machine Learning models without a single line of code

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