Software Alternatives & Reviews

Maxima VS Scikit-learn

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

Maxima logo Maxima

Maxima is a fairly complete computer algebra system written in Lisp with an emphasis on symbolic computation.

Scikit-learn logo Scikit-learn

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

Maxima videos

2019 Nissan Maxima SR – The 4-Door Sports Car?

More videos:

  • Review - 2019 Nissan Maxima SR Review // A $40,000 Performance Sedan
  • Review - 2019 Nissan Maxima | CarGurus Test Drive Review
  • Demo - Maxima video

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 Maxima and Scikit-learn)
Technical Computing
100 100%
0% 0
Data Science And Machine Learning
Numerical Computation
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 Maxima and Scikit-learn

Maxima Reviews

  1. Stable (slow but steady growth)

    I've been using Maxima since my undergraduate (over 10 years), now with Ubuntu20.04 lts, I become a newbie of SageMath. For a small project (both symbolical and numerical), in particular, student lab activities, Maxima has been a powerful tool for analyzing and visualizing data. (The Android version is also fantastic, but the poor keyboard.)

    Mathematica is always enemy/friend. (My coworkers are all Mathematica speakers.)

    🏁 Competitors: Wolfram Mathematica
    👍 Pros:    Easy for cli user|Lithghter
    👎 Cons:    Good for advanced users of computers (cli is sometimes hard for newbie)|Hard to find official references, tutors, etc

7 Best MATLAB alternatives for Linux
Another alternative to MATLAB is Maxima which is a computer algebra system (CAS) for manipulation of symbolic and numerical expressions including differentiation, integration, Laplace transformation, linear algebraic equations, tensors, etc.
Matlab Alternatives
Another alternative of Matlab is Maxima which was inspired by the legendary Algebra system Macsyma. It is a system used for manipulating numerical expressions such as Taylor series, Laplace transformations, Vectors, Tensors, and Matrices. Very accurate results are provided by using exact floating numbers, fractional values, and integers. The Source Forge file manager...
Source: www.educba.com
10 Best MATLAB Alternatives [For Beginners and Professionals]
Maxima is extracted from Macsyma, a computer algebra system developed in the late 1960s by MIT. Maxima is frequently updated to fix bugs for a more optimized coding experience
4 open source alternatives to MATLAB
Check out Maxima, it is a system for the manipulation of symbolic and numerical expressions, including differentiation, integration, Taylor series, Laplace transforms, ordinary differential equations, systems of linear equations, polynomials, sets, lists, vectors, matrices and tensors.
Source: opensource.com
3 Open Source Alternatives to MATLAB
Maxima, another frequently updated alternative to MATLAB. It's based on Macsyma, a "legendary computer algebra system" developed at MIT in the 1960s, can be compiled on Linux, Mac OS X, and Windows, and is available under GPLv2.

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

Scikit-learn might be a bit more popular than Maxima. We know about 28 links to it since March 2021 and only 27 links to Maxima. 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.

Maxima mentions (27)

  • Integral Calculator
    I think the really neat piece of software behind this is maxima (https://maxima.sourceforge.io/), a rather influential computer algebra system of ancient lineage still in use today in more place than you might think. - Source: Hacker News / 25 days ago
  • Rye: Homoiconic dynamic programming language with some new ideas
    In the maxima computer algebra system[1] which was ancestrally based on lisp it has a single quote operator[2] which delays evaluation of something and a "double quote" (which acually two single quotes rather than an actual double quote) operator[3] which asks maxima to evaluate some expression immediately rather than leaving it in symbolic form.[4] [1] https://maxima.sourceforge.io/ [2]... - Source: Hacker News / about 2 months ago
  • True or False
    Use wxmaxima, a free and open-source computer algebra system:. Source: 5 months ago
  • C++ library for solving EQUATIONS
    There are several options, here is one of them: https://maxima.sourceforge.io. Source: 12 months ago
  • Do you know computer algebra software capable of managing systems of multiple equations with multiple unknowns and multiple variables?
    You may use maxima cas (https://maxima.sourceforge.io/) to solve symbolic complex problems. Source: about 1 year ago
View more

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 / 2 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: 12 months 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

What are some alternatives?

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

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

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

Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.

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

GNU Octave - GNU Octave is a programming language for scientific computing.

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