Best Open-Source Python IDEs 2026: 7 Options Compared

Which Python environment suits you depends on whether you write programs or explore data. Thonny is built for people learning to code: it ships with its own Python, shows variables as you step through a script, and strips out the clutter that overwhelms beginners. Spyder takes the scientist's view, with a variable explorer, plots pane and IPython console sitting beside the editor, much like MATLAB. JupyterLab and marimo are notebook environments rather than classic IDEs, which suits analysis where you want to see output under each cell; marimo stores notebooks as plain Python files, so version control and code review work properly. For general software work, VSCodium gives you the VS Code experience with telemetry removed, while Neovim and Emacs reward people who live in a terminal and will invest a weekend configuring them. The honest trade-off is polish versus freedom: a paid IDE like PyCharm gives you refactoring and debugging out of the box, whereas the open-source options ask you to assemble extensions or accept fewer automated refactors. VSCodium also cannot use some Microsoft-only extensions, so check that the Python tooling you need is on the Open VSX registry before you switch.

Thonny

Beginner-focused Python IDE under the MIT license, available on Windows, macOS and Linux. It deliberately hides advanced features, so you will outgrow it once projects need virtual environments and test runners.

Price: Free (Free open-source software) (Thonny pricing, checked 2026-10-23).

Platforms and license: Windows, macOS, Linux. MIT (open source) (license source).

Project activity: 4k GitHub stars · latest release v5.0.0 (Apr 25, 2026) · last commit Oct 27, 2026

Best for: First-time programmers and classrooms.

Worth knowing: Python IDE for beginners per the repo; ships with Python built in per the site.

Spyder

MIT-licensed scientific environment with a variable explorer and IPython console in one window. It suits data analysis more than web development, and lacks the project-wide refactoring of a full IDE.

Price: Free (Free open-source software) (Spyder pricing, checked 2026-10-23).

Platforms and license: Windows, macOS, Linux. MIT (open source) (license source).

Project activity: 9.4k GitHub stars · latest release v6.1.8 (Oct 24, 2026) · last commit Oct 27, 2026

Best for: Scientists and analysts moving from MATLAB.

Worth knowing: The Scientific Python Development Environment per the repo description.

JupyterLab

BSD-3-Clause notebook interface where code, output and notes live together. Great for exploration, but notebooks diff badly in version control and encourage out-of-order execution.

Price: Free (Free and open source) (JupyterLab pricing, checked 2026-10-22).

Platforms and license: Windows, macOS, Linux, Self-hosted. BSD-3-Clause (open source) (license source).

Project activity: 15.4k GitHub stars · latest release v4.6.4 (Sep 21, 2026) · last commit Oct 27, 2026

Best for: Data exploration and teaching.

Worth knowing: You supply the compute; no GPUs come with it.

marimo

Apache-2.0 reactive notebook that saves as a plain Python file and re-runs dependent cells automatically. Newer than Jupyter, so fewer extensions and tutorials exist.

Price: Free (Free and open source; hosted service molab exists) (marimo pricing, checked 2026-10-22).

Platforms and license: Windows, macOS, Linux, Web. Apache-2.0 (open source) (license source).

Project activity: 23.3k GitHub stars · latest release 0.25.2 (Oct 19, 2026) · last commit Oct 27, 2026

Best for: Notebooks that need to be reproducible and reviewable.

Worth knowing: Notebooks are stored as plain Python files and run reactively.

VSCodium

MIT-licensed build of the VS Code source with telemetry turned off. It uses the Open VSX extension registry, so some Microsoft-published extensions are unavailable.

Price: Free (community builds of VS Code source with telemetry disabled) (VSCodium pricing, checked 2026-10-22).

Platforms and license: Windows, macOS, Linux. MIT (open source) (license source).

Project activity: 33.8k GitHub stars · latest release 1.143.17183 (Oct 26, 2026) · last commit Oct 27, 2026

Best for: General Python development with a full editor.

Worth knowing: It uses the Open VSX registry instead of Microsoft's Marketplace, so some extensions with restrictive licenses may not work.

Neovim

Apache-2.0 terminal editor with a Lua API; Python support comes from language-server plugins you configure yourself. Powerful once set up, steep before that.

Price: Free (open-source Vim fork with a Lua API) (Neovim pricing, checked 2026-10-22).

Platforms and license: Windows, macOS, Linux, Terminal. Apache-2.0 (code copied from Vim stays under the Vim license) (open source) (license source).

Project activity: 103.2k GitHub stars · latest release v0.12.6 (Oct 9, 2026) · last commit Oct 27, 2026

Best for: Developers who work over SSH or in the terminal.

GNU Emacs

GPL-3.0 editor with Python modes, a built-in interpreter shell and Org-mode for literate programming. It runs on every major OS, but the learning curve is long.

Price: Free (free software from the GNU Project) (GNU Emacs pricing, checked 2026-10-23).

Platforms and license: GNU/Linux, BSD, Windows, macOS, Android. GPL-3.0 (open source) (license source).

Project activity: 5.2k GitHub stars · last commit Oct 27, 2026

Best for: Programmers who want one extensible environment.

Which one to pick

• You are learning Python from zero: Thonny
• You analyse data and want to see plots and variables: Spyder
• You want notebooks that behave like normal source files: marimo
• You build applications and want a mainstream editor without telemetry: VSCodium