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IDE stands for Integrated Development Environment is software that facilitates the programmers to develop applications. It provides a bundle of functionalities like writing the code, highlighting the errors, debugging, testing the code, etc.
👁 Top Python IDEs 2024In this article, we are going to have an overview of the Best Python IDE and the features a developer must know and take into account before choosing one for their project. Let's also discuss a few points about Python programming and why Python IDE is used instead of a text editor.
Python IDEs (Integrated Development Platforms) are dedicated platforms to code, compile, run, test, and debug python code. It is said that Python IDEs understand the code better than any text editors. They possess an integrated build process.
IDEs contain vast packages and libraries and are best for file management. Highlighting features to improve the code readability, auto-completion of the code, and code suggestions are other important functionalities of an IDE.
| IDE | Code Editor |
|---|---|
| Feature-rich environment with built-in tools for coding, debugging, testing, version control, etc. | Primarily focused on writing and editing code, with limited built-in functionalities. |
| Steeper learning curve due to the abundance of features and options. | Easier to learn and use, with a simpler interface and fewer bells and whistles. |
| Ideal for complex projects requiring various development tools and functionalities. | Perfect for smaller projects or programmers who prefer a lightweight and customizable coding environment. |
Here is the list of Top Python IDEs for 2025:
Table of Content
PyCharm is an Integrated Development Environment specifically for the development of applications in Python and Java. Its functionalities include analysis of the code, a graphical debugger, etc. PyCharm helps to easily connect with a database. It contains an integrated unit tester and other testing frameworks such as pytest, nose, doctest, tox, and trial. PyCharm has got a lot of shortcuts to search and navigate different files and projects. It supports a lot of popular Version Control systems such as Git (and Github), Mercurial, Perforce, and Subversion.
PyCharm is available in two versions, namely the professional and community. The community edition is open-sourced and free with limited but adequate features whereas the professional edition comes with a price and contains many extraordinary features.
Pricing:
- Community Edition: Free, with core Python features.
- Professional Edition: Paid, includes advanced web development and database tools.
IDLE (Integrated Development and Learning Environment) is a dedicated platform or software to develop Python applications. It is a full-fledged editor that is used to create, modify, and execute python code. It can also be used like the Python Shell to execute single statements. Python IDLE would be of great help, especially to beginners.
Basic syntax highlighting, auto-completion of the code, auto-indentation, call tips, code context, etc. are a few noteworthy features. It also comes with a debugging tool. Stack Viewer is one of the underlining features of IDLE as it helps to trace back the error or exception that is encountered. It also allows the customization of fonts, keys, extensions, highlights, etc. IDLE is open-sourced and available free of charge.
Pricing:
- Free: Open-source and bundled with Python installation.
Visual Studio Code referred to as VS Code is a lightweight source code editor used to develop projects in various programming languages such as Python, HTML, C, C#, JavaScript, etc. The User Interface is well-documented and user-friendly with custom themes. The Python extension allows the user to code Python scripts in CS Code. The various features that support development include code completion with the help of IntelliSense, debugging and testing supports, use of conda and virtual environments, etc.
VS code also provides linting support using linters like pylint, bandit, flake8, etc. Linting is a process that analyses the code and flags potential problems. The addition of an a.git folder in the project turns on Git functionality, enabling tasks like commit, push, pull, check-out, and many more. Visual Studio Code is free and built on open source.
Pricing:
- Free: Open-source with extensive customization options.
Replit is a cloud-based IDE that allows you to write, run, and collaborate on Python code directly from your browser. It is a powerful and versatile platform suitable for both beginners and advanced developers. Replit supports a wide variety of programming languages, with Python being one of its core offerings. It stands out due to its collaborative features, ease of use, and accessibility, making it a top choice for anyone looking to develop Python applications on the go.
Replit provides a rich set of features for code execution, debugging, and collaboration. Its cloud-based nature means you can access and work on your projects from any device, without the need to install anything on your computer. Additionally, Replit provides an easy-to-use interface, real-time collaboration, and the ability to share your code instantly with others.
Pricing:
- Free: Open-source, no paid version.
- Paid Plans: Replit offers several premium plans that unlock additional resources like private projects, more computing power, and faster performance
Sublime text is a source code editor said to support many programming and markup languages. However, its Python support is considered the best. Since it has got a rich package ecosystem. Sublime text can be fine-tuned easily to what you are using it for. The Auto Docstring is a feature that creates a template for a selected class, function, or method when enabled. Anaconda Plugin helps with auto-completion of code, highlighting the syntax errors, navigate to anywhere in the project like function, object usage, etc.
Git Integration is also made easy with Sublime Text. Sublime Text uses a custom UI toolkit, optimized for speed and beauty while taking advantage of native functionality on each platform. Sublime Text may be free to be downloaded and evaluate, however, a license is required for continued use which must be purchased. Each subscription has its own business name and billing cycle.
Pricing:
- Free to Evaluate: Requires a paid license for continued use.
If you're a Linux user, you can read out the 6 Best Python IDE For Linux
Spyder is an open-source Integrated Development Environment that is written in Python for Python. It is referred to as a powerful scientific environment. It is specifically built to be used for data science. The customizable interface lets the user change themes, syntax color, font, etc. based on user preference.
Spyder IDE allows its users to install different packages and modules with a simple command-line code. Introspection, code completion, a debugger linked to IPdb, static code analysis by Pylint, an internal console, file documentation, etc. are the key features. Further, there are a variety of plugins available. Spyder is free to use and there is no paid version.
Pricing:
- Free: Open-source and community-supported.
PyDev, a plug-in for Eclipse is an Integrated Development Environment used for programming in Python Programming Language. In order to use PyDev, we have to first install followed by Eclipse Integrated Development Environment. Code completion, code analysis, refactoring, Django integration, debugger, etc. are the notable features that make an advanced type interface.
Earlier, two versions were available, the free version and the other one named PyDev Extensions which was a paid one with a few advanced features. However, now the Eclipse Public License covers the combined version of PyDev and PyDev Extensions.
Pricing:
- Free: Open-source, with extended features available via the PyDev Extensions.
Jupyter Notebook is another Integrated Development Environment specifically used for Data Science. It can be executed on a local desktop or can be installed on a remote server. Installing Anaconda would be the first step, to begin with in using Jupyter. It is an interactive computational environment. The interface is similar to a word processor.
As Jupyter is more specifically designed for data science investigations, it revolves around the concepts of kernels and cells. Pandas, Matplotlib, Seaborn, Numpy, etc. could easily work with data and plot charts. The documents created in Jupyter might contain visualizations, equations, narrative text, etc. Jupyter is open-sourced and free to use.
Pricing:
- Free: Open-source, available for local or cloud-based setups.
Thonny is a dedicated IDE for python that is specifically useful for beginners. It is best used to program the ESP32, ESP8266 boards, Raspberry Pi, etc. as it provides support for CPython and MicroPython. Thonny IDE has a basic interface with key features like highlighting errors, code completion, step-by-step expression evaluation, debugging, etc.
Though recommended for beginners, it serves as a great developing environment for full-fledged Python projects. The Installation and setup process is also simple as it comes with a built-in Python version. Install and code is all it takes. Thonny also provides a whole variety of plugins that could be installed. Thonny is a free Python Integrated Development Environment.
Pricing:
- Free: Open-source and beginner-friendly.
PyScripter is a lightweight Integrated Development Platform designed specifically for Python. Integrated Python Interpreter, Syntax highlighting, Integrated testing framework, regular expression testing, find and replace options, debugging, etc. are the few features that stand out. It contains a Modern Graphical User Interface with docked forms and a configurable look.
Coding and scripting are made easy. The project manager includes import extant directories and multiple run configurations. It also allows the integration of external tools like Pylint. It is now available only for windows. PyScripter is free and open-sourced.
Pricing:
- Free: Open-source, though currently only available on Windows.
| IDE | Code Analysis | Debugger | Extensibility | Git Integration | Best Use Case |
|---|---|---|---|---|---|
| PyCharm | Static code analysis, refactoring, error detection | Advanced debugger, profiler | Plugin ecosystem for web dev, database | Full Git support | Full-stack Python development, professional |
| IDLE | Basic syntax error detection | Simple debugger | Limited extensibility | No native Git support | Ideal for beginners and learning |
| VS Code | IntelliSense, linting with extensions | Powerful debugging tools | Highly extensible with thousands of plugins | Integrated Git and GitHub support | General-purpose coding in multiple languages |
| Replit | Basic linting with plugins | Basic debugging | Highly customizable, plugin-driven | Git and GitHub integration | Lightweight editor for versatile projects |
| Sublime Text | Limited code analysis, uses plugins for linting | Basic debugging | Extensible via Package Control | Git plugin available | Fast code editing, general Python scripting |
| Spyder | Static code analysis with Pylint | Integrated debugging with IPdb | Limited plugin support | No native Git support | Data science and scientific computing |
| PyDev | Intelligent code completion, static analysis | Advanced Python debugging | Good extensibility via Eclipse plugins | Git integration via Eclipse | Eclipse-based Python and Django development |
| Jupyter Notebook | Code execution with visual feedback | No traditional debugger | Extensions available | No Git integration | Data science, research, and teaching |
| Thonny | Basic error detection | Simple, beginner-friendly debugger | Minimal extensibility | No Git support | Python learning and beginner projects |
| PyScripter | Syntax highlighting and Pylint integration | Advanced debugging tools | Limited extensibility | No native Git support | Lightweight Python scripting (Windows) |
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The above article must have given an overall idea about list of top Python IDE. These Python IDE come with immense features designed to build perfect web applications. It is important to select an appropriate developing environment for the project to be more effective. Hence go through all of the features mentioned and choose the best one.
