Software Alternatives, Accelerators & Startups

PyCharm VS Python

Compare PyCharm VS Python and see what are their differences

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PyCharm logo PyCharm

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

Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
  • PyCharm Landing page
    Landing page //
    2023-07-20
  • Python Landing page
    Landing page //
    2021-10-17

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.

Python features and specs

  • Easy to Learn
    Python syntax is clear and readable, which makes it an excellent choice for beginners and allows for quick learning and prototyping.
  • Versatile
    Python can be used for web development, data analytics, artificial intelligence, machine learning, automation, and more, making it a highly versatile programming language.
  • Large Standard Library
    Python comes with a comprehensive standard library that includes modules and packages for various tasks, reducing the need to write code from scratch.
  • Strong Community Support
    Python has a large and active community, which means a wealth of third-party packages, tutorials, and documentation is available for assistance.
  • Cross-Platform Compatibility
    Python is compatible with major operating systems like Windows, macOS, and Linux, allowing for easy development and deployment across different platforms.
  • Good for Rapid Development
    The high-level nature of Python allows for quick development cycles and fast iteration, which is ideal for startups and prototyping.

Possible disadvantages of Python

  • Performance Limitations
    Python is generally slower than compiled languages like C or Java because it is an interpreted language, which can be a drawback for performance-critical applications.
  • Global Interpreter Lock (GIL)
    The GIL in CPython, the most used Python interpreter, prevents multiple native threads from executing Python bytecodes at once, limiting multi-threading capabilities.
  • Memory Consumption
    Python can be more memory-intensive compared to some other languages, which might be a concern for applications with tight memory constraints.
  • Mobile Development
    Python is not a primary choice for mobile app development, where languages like Java, Swift, or Kotlin are more commonly used.
  • Runtime Errors
    Being a dynamically typed language, Python code can sometimes lead to runtime errors that would be caught at compile-time in statically typed languages.
  • Dependency Management
    Managing dependencies in Python projects can sometimes be complex and cumbersome, especially when dealing with conflicting versions of libraries.

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.

PyCharm videos

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

More videos:

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

Python videos

Creator of Python Programming Language, Guido van Rossum | Oxford Union

Category Popularity

0-100% (relative to PyCharm and Python)
Text Editors
87 87%
13% 13
Programming Language
0 0%
100% 100
IDE
100 100%
0% 0
OOP
0 0%
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 PyCharm and Python

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.
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.
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...

Python Reviews

Pine Script Alternatives: A Comprehensive Guide to Trading Indicator Languages
Technical analysis in trading has come a long way, with various programming languages emerging to support traders in developing custom indicators. While Pine Script has been a popular choice for many, alternatives like Indie, ThinkScript, NinjaScript, MetaQuotes Language (MQL), and even general-purpose languages like Python and C++ are gaining traction. Letโ€™s explore these...
Source: medium.com
Top 5 Most Liked and Hated Programming Languages of 2022
No wonder Python is one of the easiest programming languages to work upon. This general-purpose programming language finds immense usage in the field of web development, machine learning applications, as well as cutting-edge technology in the software industry. The fact that Python is used by major tech giants such as Amazon, Facebook, Google, etc. is good enough proof as to...
Top 10 Rust Alternatives
This programming langue is typed statically and operates on a complied system. It works based on several computing languages Python, Ada, and Modula.
15 data science tools to consider using in 2021
Python is the most widely used programming language for data science and machine learning and one of the most popular languages overall. The Python open source project's website describes it as "an interpreted, object-oriented, high-level programming language with dynamic semantics," as well as built-in data structures and dynamic typing and binding capabilities. The site...
The 10 Best Programming Languages to Learn Today
Python's variety of applications make it a powerful and versatile language for different use cases. Python-based web development frameworks like Django and Flask are gaining popularity fast. It's also equipped with quality machine learning and data analysis tools like Scikit-learn and Pandas.
Source: ict.gov.ge

Social recommendations and mentions

Based on our record, Python seems to be more popular. It has been mentiond 299 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.

Python mentions (299)

  • How to Build a Dependency Map of a Legacy Codebase Using AI Tools
    137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 2 months ago
  • How to Prepare a Legacy Codebase for AI-Assisted Refactoring
    For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 2 months ago
  • Async Web Scraping in Python: asyncio + aiohttp + httpx (Complete 2026 Guide)
    Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ€” no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 3 months ago
  • Don't Be Afraid of Git: A Beginner's Guide to Saving and Sharing
    **_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โ€œSave this dataโ€ - โ€œGet this dataโ€ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
  • Asyncio: Interview Questions and Practice Problems
    Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
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What are some alternatives?

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

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

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

IntelliJ IDEA - Capable and Ergonomic IDE for JVM

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

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.

C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation