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Matplotlib VS PyCharm

Compare Matplotlib VS PyCharm and see what are their differences

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

Matplotlib logo Matplotlib

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

PyCharm logo PyCharm

Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • PyCharm Landing page
    Landing page //
    2023-07-20

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.

PyCharm features and specs

  • Comprehensive IDE
    PyCharm is a full-featured Integrated Development Environment (IDE) that comes with built-in tools for debugging, testing, profiling, and version control, which can significantly enhance productivity.
  • Smart Code Navigation
    PyCharm provides intelligent code navigation features such as code completion, code snippets, and quick jumps to definitions, enabling developers to write code more efficiently.
  • Integrated Tools
    PyCharm integrates with many external tools like Docker, SSH, and terminal, making it easy to manage environments and dependencies directly within the IDE.
  • Built-in Developer Assistance
    PyCharm offers robust developer assistance features such as real-time code analysis, refactoring tools, and coding suggestions, which help maintain code quality.
  • Extensive Plugin Ecosystem
    PyCharm supports a wide range of plugins that can extend its functionality, allowing for customization according to specific development needs or preferences.
  • Cross-Platform Compatibility
    PyCharm is available on multiple platforms including Windows, macOS, and Linux, which ensures that teams working in different environments can use the same toolkit.

Possible disadvantages of PyCharm

  • Resource Intensive
    PyCharm can be quite heavy on system resources, consuming significant memory and CPU, which can slow down the system, especially on machines with lower specifications.
  • High Cost
    PyCharm's Professional Edition is a paid product, which might not be feasible for individual developers or small teams with limited budgets, although a free Community Edition is available.
  • Steep Learning Curve
    Due to its extensive feature set, PyCharm can be overwhelming for beginners, and it may take some time for new users to become proficient with all its functionalities.
  • Occasional Performance Issues
    Some users report occasional performance lags and stability issues, especially when working on large projects or while using certain plugins.
  • Frequent Updates
    While updates are generally a positive feature, PyCharm's frequent updates can sometimes disrupt workflow and necessitate reconfiguring settings or updates to plugins.

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.

Analysis of PyCharm

Overall verdict

  • PyCharm is generally considered a top-tier IDE for professional Python development. It provides advanced features that enhance productivity and facilitate complex project management. However, it may be resource-intensive, and some of its advanced features are available only in the paid versions.

Why this product is good

  • PyCharm is developed by JetBrains, a company known for its comprehensive and robust IDEs. It offers a wide range of features such as intelligent code assistance, smart code navigation, and support for popular Python frameworks, which make it an excellent tool for Python development. Additionally, it integrates Version Control Systems (VCS) and various other tools which streamline the workflow.

Recommended for

  • Professional Python developers looking for a powerful IDE with robust features.
  • Developers who need integrated debugging and testing tools.
  • Teams working on complex projects that require tight integration with VCS and other development tools.
  • Educational purposes due to its support for learning and teaching Python.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

PyCharm videos

+ Add

Why Pycharm is the Best Python Editor/IDE!!!

More videos:

  • Review - Best Plugins for PyCharm
  • Tutorial - Pycharm Tutorial #1 - Setup & Basics

Category Popularity

0-100% (relative to Matplotlib and PyCharm)

Matplotlib

PyCharm

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

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

PyCharm Reviews

11 Best AI Coding Assistants: Top Tools Every Developer Needs in 2025ย 
This assistant lives inside PyCharm and supports developers writing, explaining, and refactoring Python code using natural language. Itโ€™s built for data-heavy Python projects where clarity, automation, and tight IDE control are criticalโ€”especially in ML and analytics workflows.
Source: blog.devart.com
Top 10 Visual Studio Alternatives
PyCharm is a dedicated Python Integrated Development Environment (IDE). It is well-known for offering various vital tools for Python developers. It is securely combined to make a suitable atmosphere for a good level and high productivity Python, website, and data science development process. Moreover, if you are a beginner, the PyCharm can be the one for you.
Source: blog.back4app.com
Top 4 Python and Data Science IDEs for 2021 and Beyond
PyCharm gives you a more professional experience. It isnโ€™t easy to describe, but youโ€™ll understand what Iโ€™m talking about after a couple of minutes of usage. The coding assistance is superb, the debugger works like a charm, and the environment management is as easy as it gets.
Source: towardsdatascience.com
The Rise of Microsoft Visual Studio Code
The percentages on this graph are per editor. So we can see, for example, that 97% of engineers using PyCharm program in Python (which makes sense โ€” it's in the name). Eclipse is dominated by Java (94%) and Visual Studio is mostly C# and C++ (88%). I can't really say which way the causality goes, but it seems that both the languages (Java, C#) and the IDEs (Eclipse, Visual...
Source: triplebyte.com
Top 5 Python IDEs For Data Science
Features Just like other IDEs, PyCharm has interesting features such as a code editor, errors highlighting, a powerful debugger with a graphical interface, besides of Git integration, SVN, and Mercurial. You can also customize your IDE, choosing between different themes, color schemes, and key-binding. Additionally, you can expand PyCharmโ€™s features by adding plugins; You...
Source: www.datacamp.com

Social recommendations and mentions

Based on our record, Matplotlib seems to be more popular. It has been mentiond 114 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 (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 / 5 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 / 8 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 / 9 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 / 10 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 / 11 months ago
View more

PyCharm mentions (0)

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

What are some alternatives?

When comparing Matplotlib and PyCharm, 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.

Microsoft Visual Studio - Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.

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

IntelliJ IDEA - Capable and Ergonomic IDE for JVM

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

Xcode - Xcode is Appleโ€™s powerful integrated development environment for creating great apps for Mac, iPhone, and iPad. Xcode 4 includes the Xcode IDE, instruments, iOS Simulator, and the latest Mac OS X and iOS SDKs.

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