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This is your monthly reminder that at marimo, we’re on a mission to make the
world’s best programming environment for working with data, and it’s all free
and open source. Just pip install marimo
or uv add marimo
to get started!
You’re reading the 13th marimo newsletter.
Learn marimo with our YouTube “concepts” series. marimo is a bit different from traditional notebooks: marimo notebooks are reproducible and reusable as scripts and apps, but they also have a learning curve. To help you get started, Vincent Warmerdam is hard at work building at a “marimo concepts” YouTube series that accompanies our user guide.
Feedback? If you have feedback, we want to hear from you! Hit reply or fill out our survey.
A project milestone
Just over a year after marimo’s public launch, marimo has crossed 12000 stars on GitHub — crossing Juptyter notebook’s star count, too.
It’s clear that folks are hungry for a better programming environment for working with data, and we have a lot more planned still. Excited for the journey ahead, and thankful for our community’s support!
New features
✨ Generate notebooks with LLMs — now from the command line
Generate notebooks from a text prompt using marimo new
:
marimo new "Plot an interactive 3D surface with matplotlib."
Use generated notebooks as templates to jumpstart data exploration,
modeling, learning, and building. In the future, we may extend marimo new
to support reading from local files as well.
This feature builds off the marimo AI hosted service.
But unlike our hosted service, which runs on WebAssembly, notebooks generated using
marimo new
run on your machine, meaning they have no restrictions on
packages.
If you find this feature useful (or not), hit reply to let us know.
🤖 Improved AI-assisted coding
We’ve improved our editor’s AI-assisted
coding across
the board. We’ve improved our prompts, and also made it possible to pass
variables as
context
by tagging them with @
.
Evaluating LLMs is difficult, so please let us know if you have feedback!
SQL improvements
marimo team member Shahmir Varqha has been hard at work improving marimo’s SQL support:
- Trino and Timeplus are now supported engines when connecting to a database.
- The output data type of SQL cells is now configurable
- DuckDB SQL cells now include completions for dataframes and their columns.
Other updates
- LaTeX completion. Our markdown editor now autocompletes common LaTeX symbols.
- 🔑 Environment variables. Environment variables are automatically loaded from
.env
files next to your pyproject.toml. See docs for configuration. - 🐍 Simple-parsing and argparse support. marimo now has native support for argparse and simple-parsing, making it easy to write notebooks that double as parametrizable scripts. See docs for examples.
- executed with pytest. Running test functions with pytest. Test functions in notebooks are now automatically
📬 In case you missed it …
Official updates from marimo team:
- 🎬 Embedding tricks to quickly label data: Vincent builds an marimo notebook that makes it easy to label data in bulk, using some embedding tricks.
- 🍃 marimo team is growing: Dylan Madisetti just joined marimo team, bringing deep systems experience and empathy for folks who work with data with him.
🍃 Community
We have over 110 contributors pushing code to marimo, 2k YouTube subscribers (in just one month!), 2k marimonauts hanging out with us on Discord — come chat!
Roundup
You all are up to so much cool stuff it’s hard to keep up! Here’s our best attempt:
- ☁️ Run marimo notebooks on cloud GPUs using Oxen AI — getting started is free!
- 📝 Read why marimo makes Eric J Ma say wow: “Reactive execution takes some time to get used to, but once you do, you’ll never want to work without it. It’s a bit like AI-assisted coding at this point.”
- 📓 Render infinitely scrollable data tables with Paddy mullen’s Buckaroo widget.
- 📓 Play with drum hits in drumples
- 📓 Expedite EDA with YData in marimo, by Luis Chaves Rodríguez
- 📓 An actually helpful Soduku solver
- a few marimo notebooks The nilearn project for brain neural imaging, with
Don’t forget to submit your projects to our awesome-marimo repo!
Sincerely,
marimo team 🍃
