Share cloud notebooks with molab¶
molab is a cloud-hosted marimo notebook workspace that lets you rapidly experiment on data using Python and SQL. We’re giving molab (mo for marimo) to you, our community, for free.
To create your first notebook, visit: https://molab.marimo.io/notebooks.
Contribute example notebooks!
We welcome exciting companies and projects to contribute examples notebooks, which are featured on the homepage with an organization's name and logo. To propose an example, reach out to us on GitHub.
Highlights.
- ⚡️ Build powerful notebooks using marimo, a next-gen open-source Python notebook built entirely from scratch that solves long-standing problems with Jupyter
- ☁️ Use any Python package, thanks to our cloud backend
- 🤖 Generate code with AI
- 📦 Upload data files
- 🔗 Share links and badges (notebooks are public but undiscoverable, like secret GitHub Gists)
- 📥 Download notebooks to your machine, reuse them as Python scripts or apps
- 📤 Upload local notebooks to the cloud from our CLI (coming soon)
- 🕹️ Real-time collaboration (coming soon)
- 🧩 Configure computational resources to obtain more CPU or GPU (coming soon)
Sharing¶
molab notebooks are public but undiscoverable by default.
URL¶
You can share notebooks by URL. Here's an example:
Open in molab badge¶
Share links to molab notebooks using our open in molab badge:
Use the following markdown snippet (replace the notebook URL with a link to your own notebook):
[](https://marimo.io/notebooks/nb_UJPnqcQzB7NuTtVNhwYBBp)
Packages¶
Each notebook runs in an environment with several popular packages pre-installed, including torch, numpy, polars, and more. marimo’s built-in package manager will install additional packages as you import them (use the package manage panel to install specific package versions).
Storage¶
Notebooks get persistent storage; view the file tree by clicking the file icon in the sidebar. From here you can upload additional data files, which are stored in a Cloudflare R2 bucket.
Run notebook locally¶
You can download the notebook directory by clicking the download button, also on the top-right. You can also just pass the notebook URL to marimo edit. For example:
Today, this brings just the notebook file down, and does not include your attached storage.
FAQ¶
What’s the difference between molab and Google Colab? Google Colab is a hosted Jupyter notebook service provider. molab is a hosted marimo notebook service with similar compute and sharing capabilities, but powered by marimo notebooks instead of Jupyter.
Is molab marimo’s enterprise product? No. If you’re interested in a next-generation data platform for modern AI and data workloads — with marimo’s trademark developer experience, complete with security and governance required for enterprises — get in touch.
Is molab free? molab is currently free to use, as long as usage is reasonable. Our goal is to make is as easy as possible for our community to use marimo notebooks.
How do I get more RAM, CPU or GPUs? Reach out to us and we’ll see what we can do!
I’m a compute provider. How do I get plugged into molab as an offered backend? Get in touch.
How does molab relate to marimo’s open source notebook? molab is a hosted version of marimo’s open source notebook. You can use marimo on your own machine or on your own remote servers.
How does molab relate to marimo’s WebAssembly playground? The WebAssembly playground runs notebooks entirely in the browser through Pyodide. This makes for a snappy user experience, at the cost of limited compute and limited support for Python packages. The playground is well-suited for lightweight notebooks and embedding interactive notebooks in documentation, but it is not well-suited for modern ML or AI workflows. molab is currently entirely separate from the WebAssembly playground. In the future we may merge them into a unified experience.
How does molab relate to marimo’s community cloud? Our community cloud provides a place to organize and share WebAssembly notebooks. molab is currently entirely separate from the community cloud. In the future we may merge them into a unified experience.
Why are you making molab? See our announcement blog post.