Software Alternatives, Accelerators & Startups
Register | Login

Matplotlib VS IDLE

Compare Matplotlib VS IDLE and see what are their differences

Electe
Discover Electe, our data analytics platform dedicated to SMEs. Don't let your data go unused, take your business into the future! featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

IDLE logo IDLE

Default IDE which come installed with the Python programming language.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • IDLE Landing page
    Landing page //
    2023-07-19

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.

IDLE features and specs

  • Integrated Development Environment
    IDLE is a simple and lightweight Integrated Development Environment designed specifically for Python. It comes with features like syntax highlighting, auto-completion, and an interactive shell which helps beginners learn programming more efficiently.
  • Cross-Platform
    IDLE is available on multiple operating systems, including Windows, macOS, and Linux. This cross-platform support allows programmers to write, debug, and run Python code on different operating systems seamlessly.
  • Bundled with Python
    IDLE comes pre-installed with the standard Python distribution, making it easy for beginners to start coding immediately without needing to install additional software.
  • Interactive Shell
    IDLE provides an interactive shell with syntax highlighting that makes it easier for developers to test small code snippets and see immediate results.
  • Debugger Tools
    IDLE includes basic debugging tools such as breakpoints and stepping to help developers find and fix errors in their code.

Possible disadvantages of IDLE

  • Limited Features
    Compared to more advanced IDEs like PyCharm or VSCode, IDLE has limited features. It lacks advanced functionalities such as sophisticated code refactoring tools, integrated version control, and extensive plug-in support.
  • Performance Issues
    IDLE can become slow and unresponsive with larger projects or extensive use, which can be a hindrance when working on more complex applications.
  • Basic User Interface
    The user interface of IDLE is quite basic and may not be appealing to developers who are accustomed to working with more modern and feature-rich UIs.
  • Limited Customization
    IDLE offers limited options for customization compared to other IDEs. Developers who prefer to tailor their development environment to their preferences might find IDLE restrictive.
  • Not Suitable for Advanced Development
    IDLE is not well-suited for large-scale software development or projects requiring advanced tools and integrations. For professional-grade projects, developers might find IDLE insufficient.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

IDLE videos

+ Add

Why Is This Idle Game SO FUN? | Good Cheap Games: Idle Champions

More videos:

  • Review - IDLE Mattress Reviews (#1 Consumer Guide)
  • Review - Daily Grind Review 2019 : Idle Heroes

Category Popularity

0-100% (relative to Matplotlib and IDLE)

Matplotlib

IDLE

Technical Computing
100 100%
Technical Computing
0% 0
Text Editors
0 0%
Text Editors
100% 100
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
IDE
0 0%
IDE
100% 100

User comments

Share your experience with using Matplotlib and IDLE. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Matplotlib and IDLE

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 doesn’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

IDLE Reviews

We have no reviews of IDLE yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Matplotlib seems to be more popular. It has been mentiond 107 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.

Matplotlib mentions (107)

  • Python for Data Visualization: Best Tools and Practices
    Matplotlib is the backbone of Python data visualization. It’s a flexible, reliable library for creating static plots. Whether you're making simple bar charts or complex graphs, Matplotlib allows extensive customization. You can adjust nearly every aspect of a plot to suit your needs. - Source: dev.to / about 2 months ago
  • Build a Competitive Intelligence Tool Powered by AI
    Add data visualization to make it actionable for your business using pandas.pydata.org and matplotlib.org. - Source: dev.to / 5 months ago
  • Data Visualisation Basics
    Matplotlib: a versatile library for visualizations, but it can take some code effort to put together common visualizations. - Source: dev.to / 9 months ago
  • Creating a CSV to Graph Generator App Using ToolJet and Python Libraries
    In this tutorial, we'll create a CSV to Graph Generator app using ToolJet and Python code. This app enables users to upload a CSV file and generate various types of graphs, including line, scatter, bar, histogram, and box plots. Since ToolJet supports Python (and JavaScript) code out of the box, we'll incorporate Python code and the matplotlib library to handle the graph generation. Additionally, we'll use... - Source: dev.to / 10 months ago
  • Something is strange with CrowdStrike timeline
    It looks like matplotlib to me: https://matplotlib.org/. - Source: Hacker News / 10 months ago
View more

IDLE mentions (0)

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

What are some alternatives?

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

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

PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

iPython - iPython provides a rich toolkit to help you make the most out of using Python interactively.

Plotly - Low-Code Data Apps

Thonny - Python IDE for beginners

Loading...