Top-10 Python IDE

24 May 2023
Reading: 1 min

Python IDE stands for Integrated Development Environment and refers to a software application that provides comprehensive tools and features for development, debugging, and running Python code. An IDE is designed to enhance the productivity of developers by offering a user-friendly interface, code editing capabilities, syntax highlighting, code completion, debugging tools, and more.

Top Python IDE

Group Examples
Full-featured IDEs: PyCharm
Lightweight IDEs/Editors: Visual Studio Code (VS Code)
Sublime Text
Notebook-based IDEs:
Jupyter Notebook
Distribution-based IDEs:
Anaconda (includes Jupyter Notebook and JupyterLab)
Thonny (simpler IDE aimed at beginners)
Integrated with other tools: IDLE(Python’s default IDE)
Eclipse with PyDev (plugin for Eclipse or LiClipse)



Full featured IDEs


PyCharm is a popular IDE specifically designed for Python development. It is developed by JetBrains, known for their suite of developer tools. PyCharm provides a comprehensive set of features and tools that aim to enhance productivity and simplify the process of Python code writing.

Here are some key features and characteristics of PyCharm:

  1. Code Editor and Intelligent Code Completion
  2. Debugging and Testing
  3. Code Navigation and Refactoring
  4. Version Control Integration
  5. Web Development Support
  6. Database Tools
  7. Python Scientific Libraries
  8. Extensibility

PyCharm comes in two editions: the Community Edition (free and open-source) and the Professional Edition (commercial). The Professional Edition includes additional features like remote development capabilities, advanced web development support, and support for more frameworks and technologies.


Spyder is an open-source IDE designed specifically for scientific computing and data analysis using Python. It provides a user-friendly interface and a range of powerful tools tailored to the needs of scientific code writers and data scientists. Here are some key features and characteristics of Spyder:

  1. Scientific Computing Environment
  2. Interactive Development
  3. Variable Explorer and Data Viewer
  4. Code Editor with Advanced Features
  5. Integrated Code Debugger
  6. Integrated Code Documentation
  7. Plots and Visualizations
  8. Environment and Project Management

Spyder is free, open-source software and is available for Windows, macOS, and Linux operating systems. It is well-regarded among the scientific Python community for its simplicity, interactivity, and dedicated features for data analysis and scientific code writing.

Lightweight IDEs/Editors:

Visual Studio Code

Visual Studio Code (VS Code) is a popular and highly regarded source code editor and IDE, developed by Microsoft. Although it is not specifically designed for code making on Python, it offers excellent support and a wide range of extensions that make it a compelling choice for Python development. Here are some key features and characteristics of Visual Studio Code:

  1. Lightweight and Versatile
  2. Python Language Support
  3. Integrated Terminal
  4. Code Debugging Capabilities
  5. Extensions Ecosystem
  6. Version Control Integration
  7. Integrated Terminal
  8. Cross-Platform Collaboration
  9. IntelliCode
  10. Community and Support

Visual Studio Code is free and open-source, making it accessible to developers of all backgrounds. Its extensibility, strong Python support, debugging capabilities, and collaborative features make it a highly popular choice for Python development.

Sublime Text

Sublime Text is a widely used and highly regarded text editor that is popular for development, including Python code writers. While it is not a dedicated Python IDE, it provides a sleek and minimalistic interface with powerful features and extensibility options. Here are some key aspects of Sublime Text:

  1. Cross-Platform Compatibility
  2. User Interface
  3. Speed and Performance
  4. Extensibility
  5. Python Language Support
  6. Command Palette and Keyboard Shortcuts
  7. Multiple Selections and Editing
  8. Split Editing and Layouts
  9. Build System
  10. Version Control Integration
  11. Cross-Editor Compatibility

Sublime Text’s lightweight and efficient design, along with its rich ecosystem of packages and customization options, make it a preferred choice for developers who value speed, simplicity, and extensibility. While it may not offer the same level of specialized features as dedicated Python IDEs, it provides a flexible and powerful text editing experience for Python development and other programming languages.

Notebook-based IDEs:

Jupyter Notebook

Jupyter Notebook is a popular Python IDE that allows interactive and exploratory programming. It provides a web-based environment where you can create and share documents containing live code, visualizations, explanatory text, and more. Here are some key features and characteristics of Jupyter Notebook:

  1. Interactive Computing
  2. Rich Output and Visualization
  3. Mix of Code and Markdown
  4. Notebook Sharing and Collaboration
  5. Support for Different Kernels
  6. Code Reusability
  7. Data Exploration and Analysis
  8. Extensibility
  9. Integration with Big Data Tools
  10. Open Source and Active Community

Overall, Jupyter Notebook offers a flexible and interactive environment and features for Python programming, data analysis, and visualization. Its support for markdown, rich output, and code execution in a cell-based manner makes it a powerful tool for documenting and sharing data analysis workflows, conducting research, and creating educational materials.


JupyterLab is an advanced Python IDE that builds upon the capabilities of Jupyter Notebook. It provides a flexible and extensible web-based environment and features for interactive computing, data analysis, and scientific programming. JupyterLab offers several enhancements over Jupyter Notebook while maintaining a similar user-friendly interface. Here are some key features and characteristics of JupyterLab:

  1. Integrated Interface
  2. Tab-Based Navigation
  3. Flexible Layouts and Docking
  4. Rich Text Editor
  5. Enhanced File Browser
  6. Interactive Widgets
  7. Code Console
  8. Extension Ecosystem
  9. Collaboration and Version Control
  10. Notebooks and Scripts
  11. Server-Based Architecture

JupyterLab is a versatile and powerful IDE that combines the interactive and exploratory features of Jupyter Notebook with a more robust and flexible user interface. It provides an ideal environment for data analysis, scientific computing, machine learning, and collaborative research projects. Whether you are a data scientist, researcher, educator, or coder, JupyterLab offers an extensive set of tools and features to enhance your productivity and streamline your Python workflows.

Distribution-based IDEs:


Anaconda is not specifically an IDE but rather a distribution of Python and other scientific computing libraries. However, Anaconda also includes a user-friendly IDE, called Anaconda Navigator, which provides a convenient way to manage and launch different tools within the Anaconda ecosystem. Here are some key features of Anaconda and Anaconda Navigator:

  1. Python Distribution
  2. Package Management
  3. Environment Management
  4. Anaconda Navigator
  5. Jupyter Notebook and JupyterLab Integration
  6. Spyder Integration
  7. Integration with Popular Libraries
  8. Cross-Platform Support
  9. Community and Support

Overall, Anaconda provides a comprehensive Python distribution that includes popular scientific computing libraries and tools. While it is not a dedicated IDE itself, it offers Anaconda Navigator as a user-friendly interface to manage and launch various IDEs and features within the Anaconda ecosystem. This makes for a convenient tool for data scientists, researchers, and coders in the scientific computing field.


Thonny is a beginner-friendly Python IDE designed to help new programmers learn and practice Python programming. Here are some key features and characteristics of Thonny:

  1. Simplified Interface
  2. Built-in Python Interpreter
  3. Code Editor with Auto-completion
  4. Debugger
  5. Variable Explorer
  6. Step-by-Step Execution
  7. Code Navigation and Error Highlighting
  8. Integrated Python Documentation
  9. Platform Availability
  10. Educational Focus

Thonny offers a beginner-friendly IDE that simplifies the Python programming experience, providing essential features like a code editor, debugger, variable explorer, and step-by-step execution. Its user-friendly interface and educational focus make it an excellent choice for individuals who are new to programming and want to learn how to code in Python in a supportive environment and develop one’s skills efficiently.

Integrated with other tools:


IDLE (Integrated Development and Learning Environment) is the default Python IDE that comes bundled with the Python programming language. It provides a simple and lightweight environment for writing, executing, and debugging Python code. IDLE is designed to be beginner-friendly and serves as an introductory IDE for those new to Python programming. Here are some key features and characteristics of IDLE:

  1. Interactive Shell
  2. Code Editor
  3. Debugger
  4. Integrated Documentation
  5. GUI Toolkits
  6. Code Execution
  7. Multiplatform
  8. Integration with Python Standard Library
  9. Extensibility
  10. Beginner-Friendly

IDLE serves as a convenient starting point for beginners learning how to code in Python and provides a lightweight IDE for quick prototyping, testing, and experimentation. While it may lack some advanced features found in other IDEs, it remains a useful tool for beginners, educators, and those seeking a minimalistic Python development environment.

Eclipse with PyDev

Eclipse with PyDev is an IDE that combines the power of the Eclipse platform with PyDev, a Python IDE plugin. It provides a comprehensive environment for Python development within the Eclipse framework. Here are some key features and characteristics of Eclipse with PyDev:

  1. Eclipse Platform
  2. Python Development Environment
  3. Code Editor
  4. Integrated Debugger
  5. Code Analysis and Refactoring
  6. Interactive Console
  7. Project Management
  8. Integration with Version Control Systems
  9. Plug-in Ecosystem
  10. Cross-Platform

Eclipse with PyDev is a popular choice for Python development, especially for developers who are already familiar with the Eclipse platform or prefer its extensive set of features. It offers a robust and customizable environment for Python programming and supports the development of complex Python applications with ease.


As the demand for Python development grows, having the right IDE can significantly boost your productivity and facilitate the development of your code-writing experience. In this article, we’ve presented a diverse range of Python IDEs. Experiment with different IDEs and their features, and find the one that aligns with your workflow and helps you unlock the full potential of Python. With the right Python IDE by your side, you can take your coding skills to new heights and embark on exciting development projects with confidence.

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