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Desmos VS Matplotlib

Compare Desmos VS Matplotlib and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Desmos logo Desmos

A beautiful, innovative, and modern online graphing calculator.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Desmos Landing page
    Landing page //
    2023-08-06
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Desmos features and specs

  • User-Friendly Interface
    Desmos offers an intuitive and easy-to-navigate interface that makes it accessible for users of all skill levels, from beginners to advanced mathematicians.
  • Interactive Graphing
    The platform provides dynamic graphing capabilities that allow users to manipulate functions and see changes in real-time.
  • Educational Resources
    Desmos offers a variety of teaching resources, such as pre-made activities and lesson plans, which are beneficial for instructors in a classroom setting.
  • Accessibility
    Desmos is web-based, meaning it can be accessed from anywhere with an internet connection, on multiple devices, enhancing its convenience and reach.
  • Free Usage
    Desmos is available for free, making it an attractive option for students and educators who need powerful graphing tools without any cost.

Possible disadvantages of Desmos

  • Limited Advanced Features
    While Desmos is great for general graphing needs, it may lack advanced features required by professionals for more complex mathematical modeling.
  • Dependency on Internet
    As a web-based tool, Desmos requires a stable internet connection, which can be a limitation for users with unreliable internet access.
  • Feature Overload for Beginners
    Despite its user-friendly design, beginners might find the range of features overwhelming without proper guidance.
  • Privacy Concerns
    Users might have concerns about privacy and data security, particularly when using Desmos in educational settings, although the company strives to protect user information.
  • Customization Limitations
    Users may find limitations in terms of customizability when compared to other graphing software that provides extensive options for visual adjustments.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Desmos videos

+ Add

Desmos Review

More videos:

  • Review - Desmos Activities Review
  • Tutorial - Desmos Review: How to use Desmos classroom activity to teach Mathematics.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Desmos and Matplotlib)

Desmos

Matplotlib

Online Calculators
100 100%
Online Calculators
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Education & Reference
100 100%
Education & Reference
0% 0
Technical Computing
0 0%
Technical Computing
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 Desmos and Matplotlib

Desmos Reviews

The 15 Best AI Tools to Solve Math Problems
Desmos: Desmos is an advanced graphing calculator that uses AI algorithms to plot functions, analyze data, and solve equations. It offers a user-friendly interface, real-time collaboration, and interactive visualization tools for exploring mathematical concepts.
Source: www.mathsolver.top

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Matplotlib might be a bit more popular than Desmos. We know about 114 links to it since March 2021 and only 77 links to Desmos. 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.

Desmos mentions (77)

  • What number raised to itself is equal to 1/2?
    Graphing x^x on desmos.com makes it look as though the value is always greater than 1/2. Source: about 3 years ago
  • Data Visualization: Sustainable Throughput Per Freight Car
    =) I've posted a link to the desmos.com page with the data that used to create the graph above in the first reply to the post. =). Source: about 3 years ago
  • How to check points of non differentiability and discontinuity of a given function in ?
    It might help to graph the function, for example using desmos.com. Source: about 3 years ago
  • How did you check your homework if itโ€™s ungraded and thereโ€™s no answer key?
    Many answers can be checked numerically, even if only for a special case. There are also some sites that will solve certain types of problems, for example https://www.integral-calculator.com/. Graphing also sometimes helps, desmos.com. Source: about 3 years ago
  • For the regions bounded by y = 6cosx and y= 1/4x^2 -7
    It might clarify your thinking to plot the two curves on desmos.com. You can also use the plots to check your work. Source: about 3 years ago
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Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing Desmos and Matplotlib, you can also consider the following products

GeoGebra - GeoGebra is free and multi-platform dynamic mathematics software for learning and teaching.

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

Chart Maker Pro - Chart Maker Pro is an incredible software that allows users to create charts and graphs in a meaningful way.

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

calculator.net - Online calculator for quick calculations, along with a large collection of calculators on math, finance, fitness, and more, each with related in-depth information.

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

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