Matplotlib VS Maxima

Matplotlib Reviews

Maxima Reviews

1. Guest    

   over 3 years ago
   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

Matplotlib mentions (98)

• Implementing semantic image search with Amazon Titan and Supabase Vector

  Matplotlib: for displaying our image result. - Source: dev.to / 30 days ago

• Releasing The Force Of Machine Learning: A Novice’s Guide 😃

  Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 2 months ago

• How to retrieve and analyze crypto order book data using Python and a cryptocurrency API

  Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 5 months ago

• Ask HN: What plotting tools should I invest in learning?

  For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / 9 months ago

• PSA: You don't need fancy stuff to do good work.

  Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago

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 / 21 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