Best Integrated Development Environments (IDEs) For Python
This list ranks IDEs based on their support for Python, ease of use, performance, community support, and additional features like debugging tools and integration with version control systems.
Top Ranked
Available on Windows, macOS and Linux, Visual Studio Code is a source code editor for building software, including websites and web applications. It provides an integrated terminal and Git tools, so developers can run commands and review changes alongside their code. Extensions add language support...
For Python projects that need more than a text editor, PyCharm brings code navigation, refactoring, debugging and integrated testing into one development environment. Its tools help developers follow relationships across files and change code with awareness of the surrounding project. Web developmen...
Why this score
A leading Python development reputation, deep code analysis, and mature debugging place it among the best tools, despite resource demands.
Scoring methodology
Sublime Text remains a top contender, renowned for its speed, elegance, and powerful features. Its GoTo Anything functionality and multi-selection capabilities significantly enhance developer productivity. While the evaluation version is free, a license is required for continued use. The editor's m...
Why this score
A reputation for speed, responsive editing, and flexible text manipulation supports solid utility, though broader development workflows require additional tools.
Scoring methodology
Jupyter Notebooks provide an interactive computing environment combining code, text, and visualizations. Built on the IPython kernel, they allow users to execute code in blocks, document their process with Markdown, and share their work easily. Widely adopted for data exploration, prototyping, and c...
Spyder is a powerful scientific environment written in Python, for Python. It is designed specifically for data scientists and engineers who need a tool that integrates well with libraries like NumPy, SciPy, and Matplotlib. It features a unique variable explorer, an interactive console, and a built-...
Why this score
Scientific library integration, an interactive console, and variable inspection support solid data exploration, with a narrower focus than general development environments.
Scoring methodology
PyCharm Community is an integrated development environment (IDE) primarily designed for Python programming. It offers essential tools like code completion and debugging support alongside Git integration. This community edition is particularly beneficial for students learning to program or individual...
Atom was a highly popular, hackable text editor developed by GitHub. While it has been officially discontinued in favor of other tools, it remains a notable mention for its massive impact on the development community and its highly extensible architecture. It allowed developers to build custom packa...
Why this score
Historical extensibility supports a mixed legacy assessment, while [official retirement](https://github.blog/tag/atom/) limits its suitability for ongoing development.
Scoring methodology
Thonny is an interactive integrated development environment (IDE) primarily designed to teach introductory Python programming. Its notable features include a straightforward interface and built-in debugging tools that simplify understanding code execution. It’s particularly useful for students, educ...
Why this score
Beginner-focused debugging and a simple interface suggest mixed value: useful for learning, but less suited to demanding professional workflows.
Scoring methodology
PyDev is an open-source Eclipse plugin designed for Python development. It provides comprehensive support within the Eclipse IDE, including robust refactoring tools and Java integration. This makes it particularly useful for Python developers utilizing Eclipse as their primary development environmen...
Why this score
Python tooling and Java integration suggest mixed value, with the strongest fit for developers already committed to Eclipse.
Scoring methodology
