Marimo : Next-Gen Python Notebook

Marimo

#Python #Notebooks #Open Source #Data Science #Collaboration Standard Picks Paid

Overview :

Marimo is an open-source reactive Python notebook that emphasizes reproducibility, is git-friendly, can be executed as scripts, and can be shared as applications. It automates the execution of affected cells in response to changes, removing the cumbersome task of managing notebook states. Marimo's UI elements, such as data frame GUIs and charts, make data processing swift, futuristic, and intuitive. Marimo notebooks are stored as .py files, compatible with git version control, executable as Python scripts, importable into other notebooks or Python files, and can be linted or formatted using your preferred tools—all within a modern AI-supported editor.

Target Users :

The target audience includes Python developers, data scientists, and researchers. Marimo is particularly suited for professionals requiring complex data processing and analysis, as well as developers looking to quickly convert code and analysis results into shareable applications, thanks to its reactive programming environment, powerful interactivity, and collaborative features.

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Use Cases

- Interactive embedding explorer: created by the marimo team for interactive exploration of data and models.

- Neural networks with Micrograd: developed by the marimo team for constructing and training neural networks.

- Trajectory planning: created by Philipp Schiele for computational experiments in spacecraft trajectory planning.

Features

- Reactive execution: when a cell is run, marimo automatically executes the affected cells, eliminating the need to manage notebook states manually.

- Interactive elements: provides reactive UI elements like data frame GUIs and charts, making data processing intuitive and fast.

- Code and model experimentation: quickly experiment with code and models, binding UI elements to Python values.

- Python-first design: notebooks are written in pure Python, stored as .py files, and compatible with git version control.

- Reproducible execution: notebooks execute in a determined order with no hidden states, and when a cell is deleted, marimo removes its variables and updates the affected cells.

- Collaboration-friendly: notebooks can be collaborated on with git, generating small differences with minor changes, supporting export as HTML or serving as web applications.

- Developer experience: the editor includes GitHub Copilot, auto-completion, hover hints, vim key bindings, code formatting, debugging panels, and extensive hotkeys.

How to Use

1. Visit the marimo official website to download and install the Python package: run `pip install marimo` in the command line.

2. Launch marimo: after installation, type `marimo tutorial intro` in the command line to start an introductory tutorial.

3. Explore the online playground: visit the provided link to try out marimo's online programming environment.

4. Create and edit notebooks: use the marimo editor to create new notebooks or edit existing .py files.

5. Run and share notebooks: write code in the notebook, run cells, and export the notebook as HTML or serve it as a web application using the marimo CLI.

6. Collaborate and control versions: utilize git for version control and collaboration on notebooks.