Notebooks & data apps · Project Jupyter
Project Jupyter
Open-source notebook interface for mixing live code, output, and narrative text, the base standard most other data notebooks build on.
Project Jupyter develops the open notebook format (.ipynb) and the interfaces that read and write it, including the classic Jupyter Notebook and the more extensible JupyterLab. A notebook interleaves executable code cells, their output (tables, plots, images), and Markdown narrative in one document, against a language kernel — Python via IPython is most common, but kernels exist for R, Julia, and dozens of other languages. Jupyter itself is just the interface and protocol; it ships no cloud service, so people run it locally, on a self-managed JupyterHub for shared/multi-user access, or through third-party hosts (Colab, Kaggle, Deepnote, Binder) that implement the same format. Its ubiquity makes the .ipynb format the de facto interchange standard across the notebook ecosystem covered in this category.
At a glance
| Vendor | Project Jupyter |
|---|---|
| Pricing model | Open source + paid options |
| Free tier | Yes |
| Deployment | Cloud, Self-hosted |
| Open source | Yes (BSD-3-Clause) |
| Best for | Anyone who wants a free, extensible, self-hostable notebook environment as the base for exploratory analysis. |
Pricing
Free and open source; Project Jupyter does not sell a hosted product or support plan.
Pricing has not been verified yet — see the vendor's site.
Features
- Interactive notebook combining code, output, and Markdown narrative
- Language-agnostic kernel protocol (Python/IPython, R, Julia, and more)
- JupyterLab IDE-style interface with file browser, terminal, and extensions
- JupyterHub for multi-user, self-hosted deployments
- Widgets (ipywidgets) for interactive controls inside notebooks
- nbconvert for exporting notebooks to HTML, PDF, and slides
- Large third-party extension and kernel ecosystem
Integrations
Profile last reviewed September 21, 2026