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PyCharm VS WinPython

Compare PyCharm VS WinPython and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

PyCharm logo PyCharm

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

WinPython logo WinPython

The easiest way to run Python, Spyder with SciPy and friends out of the box on any Windows PC...
  • PyCharm Landing page
    Landing page //
    2023-07-20
  • WinPython Landing page
    Landing page //
    2021-09-18

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.

WinPython features and specs

  • Portable
    WinPython is completely portable and can be run directly from a USB device without the need for installation, making it easy to use on different machines.
  • Pre-configured Environment
    It comes with a wide range of pre-installed packages commonly used in scientific computing, data analysis, and machine learning, saving time required for setup.
  • Standalone
    It includes a standalone version of Python and can be used alongside other Python installations without conflict, allowing for multiple environments.
  • Ease of Use
    The interface is user-friendly, including a comprehensive control panel that lets users manage their packages and environment easily.
  • Open Source
    WinPython is open-source, allowing users to modify and contribute to its development, fostering a collaborative improvement route.

Possible disadvantages of WinPython

  • Windows Only
    As the name suggests, WinPython is only available for Windows users, making it irrelevant for users of other operating systems like macOS or Linux.
  • Large Size
    The distribution is relatively large compared to other distributions, which can be a downside when dealing with limited storage or downloading bandwidth.
  • Update Management
    Managing updates for both the Python version and the individual packages can be cumbersome compared to alternatives like Anaconda, which can handle updates more seamlessly.
  • Resource Intensive
    It might consume more system resources, which can be a limitation for users working on machines with limited specifications compared to lighter setups.
  • Less Popular
    WinPython might have less community support and fewer resources available online compared to more popular distributions like Anaconda, which could be a concern for beginners seeking help.

PyCharm videos

+ Add

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

More videos:

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

WinPython videos

+ Add

[ENG] Python programming 1: WinPython/Anaconda Installation

More videos:

  • Review - #1 WinPython - installing, saving & loading
  • Review - Install Python 3 in Windows 10 | Winpython best Windows Python 3 IDE for win10 win7

Category Popularity

0-100% (relative to PyCharm and WinPython)

PyCharm

WinPython

Text Editors
89 89%
Text Editors
11% 11
Python IDE
0 0%
Python IDE
100% 100
IDE
92 92%
IDE
8% 8
IDEs And Text Editors
100 100%
IDEs And Text Editors
0% 0

User comments

Share your experience with using PyCharm and WinPython. For example, how are they different and which one is better?
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Reviews

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

PyCharm Reviews

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 isn’t easy to describe, but you’ll understand what I’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 — 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 PyCharm’s features by adding plugins; You...
Source: www.datacamp.com

WinPython Reviews

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

Social recommendations and mentions

Based on our record, WinPython seems to be more popular. It has been mentiond 19 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.

PyCharm mentions (0)

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

WinPython mentions (19)

  • One path to connecting a Python script to a COM application on Windows
    STEP 1: Python on Windows What to install Download and install WinPython from https://winpython.github.io. I researched Python on Windows and in very short order understood that WinPython is the way to go. While it’s stated audience is scientists, data scientists and education, it fully serves the needs of personal projects. Also, it is available as a portable distribution with no requirement to register with... - Source: dev.to / about 1 year ago
  • qBitTorrent search plugins - portable python runtime ?
    How can I use the portable version of winpython from https://winpython.github.io to configure into qbittorrent to detect the runtime pre-requisites so that my portable qbittorent search can work? Thx in advanced. #portablepython. Source: about 2 years ago
  • What you guys use to process data? Excel? r? python?
    You equally are barred from e.g., WinPython which can work without an installation into the OS, too? Then - mechanically speaking - it wouldn't matter that the USB ports are permanently plastered with some polymer. Source: about 2 years ago
  • Jupyterlab Desktop
    Thank for answering. I understand that the interpreter situation can be annoying. There is WinPython [0] to circumvent that to some degree. I feel like if I don’t do it the „VSCode and py-file“ way, it’ll be more and more difficult to keep everything together when teaching about modularity and putting functions in helper scripts, putting tests in other directories and such. I think it’s just because I got used to... - Source: Hacker News / about 2 years ago
  • How to learn Python without installation
    One option would be to use a portable Python runtime. Like this one: https://winpython.github.io/. Source: over 2 years ago
View more

What are some alternatives?

When comparing PyCharm and WinPython, you can also consider the following products

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

Portable Python - Minimum bare bones portable python distribution with PyScripter as development environment.

IntelliJ IDEA - Capable and Ergonomic IDE for JVM

Anaconda - Anaconda is the leading open data science platform powered by Python.

Xcode - Xcode is Apple’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.

Spyder - The Scientific Python Development Environment

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