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akshayka
searching PlanetScale…
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6 ms
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31.
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by
akshayka
1y ago
Sorry! Did the notebook not connect to the runtime? Notebooks usually start quickly but there is variance, which we are working to tighten. If you have a notebook link/ID, we can look into it.
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Show HN: Molab, a cloud-hosted Marimo notebook workspace
(molab.marimo.io)
123 points
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akshayka
1y ago
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21 comments
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akshayka
1y ago
Thanks for the kind words. Many of our users have switched entirely from Jupyter to marimo for experimentation (including the scientists at Stanford's SLAC alongside whom marimo was originally designed). I have spent a lot of time in J
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akshayka
1y ago
marimo still allows you to run cells one at a time (and has many built-in UI elements for very rapid experimentation). But the distinction is that in marimo, running a cell runs the subtree rooted at it (or if you have enabled lazy executio
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akshayka
1y ago
Thanks Simon for the kind words! For those new to marimo, we have affordances for working with expensive (ML/AI/pyspark) notebooks too, including lazy execution that gives you guarantees on state without running automatically. One
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A Python-first data lakehouse
(bauplanlabs.com)
140 points
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akshayka
1y ago
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48 comments
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akshayka
1y ago
It's indeed very easy to try locally! For example in a marimo notebook, just a few lines of code: https://www.youtube.com/watch?v=x6YtqvGcDBY (Disclosure, I am a developer of marimo.)
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akshayka
1y ago
You can try marimo notebooks, which are stored as pure Python and support SQL cells through duckdb. (I’m one of its authors.) https://github.com/marimo-team/marimo
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akshayka
2y ago
Hi; I'm the author of this post, and one of marimo's original developers. Thanks for taking the time to read this post, and for looking at marimo. > With Marimo, can I check the outputs directory into version control in a reaso
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akshayka
2y ago
Yea. This blog post is definitely written for software-minded people who work with data. We do have another post that explains some of the problems that marimo hopes to solve for scientists, chief among them computational reproducibility an
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by
akshayka
2y ago
It’s true that we don’t store outputs in the file format. This is the main tradeoff, as discussed in the blog. But that doesn’t mean marimo notebooks aren’t suitable for heavy computation. marimo lets you automatically snapshot outputs in a
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Notebooks as reusable Python programs
(marimo.io)
117 points
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akshayka
2y ago
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60 comments
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Visualizing process trees with marimo and anywidget
(blog.cauchy.org)
11 points
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akshayka
2y ago
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1 comments
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Why Stanford scientists needed a new Python notebook
(marimo.io)
4 points
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akshayka
2y ago
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0 comments
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akshayka
2y ago
duckdb works — just import duckdb. We also have built-in SQL cells, powered by duckdb, which should also work.
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akshayka
2y ago
marimo notebooks are actually DAGs as cells, reusable out-of-the-box in three diffferent ways: as interactive computing notebooks in a reactive environment with no hidden state, as Python scripts, as data apps. So Jupyter + nbconvert (or pe
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Top Python Libraries of 2024 (Tryo Labs)
(tryolabs.com)
3 points
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akshayka
2y ago
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0 comments
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Marimo raises $5M to build an open-source reactive Python notebook
(marimo.io)
7 points
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akshayka
2y ago
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2 comments
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akshayka
2y ago
Hey all, this is Akshay, co-creator of marimo, an open-source reactive Python notebook that's been on HN a few times ( https://github.com/marimo-team/marimo ). Since our ShowHN earlier this year ( https://
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akshayka
2y ago
For the curious: https://github.com/marimo-team/marimo
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by
akshayka
2y ago
Have you considered using marimo notebooks? https://github.com/marimo-team/marimo marimo notebooks are stored as pure Python (executable as scripts, versionable with git), and they largely eliminate the hidden state pr
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akshayka
2y ago
You can create interactive notebooks with marimo, an open-source reactive notebook inspired in part by Observable and Pluto.jl. We have sliders, checkboxes, selectable tables and charts, and more, built-in. Here's our repo: https:
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akshayka
2y ago
Pluto.jl is our biggest inspiration. We also took some inspiration from streamlit, and of course a lot of inspiration from the IPython kernel and Jupyter. We didn't look closely at Observable (though Fons cites Observable as his bigges
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akshayka
2y ago
> Another advantage that I didn't see mentioned in TFA is parallelism That's something we're thinking about and designing: https://github.com/marimo-team/marimo/issues/1103 Feel free to join
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akshayka
2y ago
I'm one of the authors of marimo; happy to answer any questions. Also see the previous discussion here: https://news.ycombinator.com/item?id=38971966
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akshayka
2y ago
Yes! I remember reading your article very closely a few years ago, before starting work on marimo. Thanks for writing it and sharing it here. Other things we looked at closely: Joel Grus' (in)famous talk on notebooks, and obviously Plu
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akshayka
2y ago
We're adding support markdown with fenced code blocks, which maybe gets you closer to "delimiting areas of particular syntax": https://github.com/marimo-team/marimo/pull/1332 . Python is nice be
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akshayka
2y ago
token/password protection is in the works; just designed it with my co-maintainer yesterday.
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akshayka
2y ago
I'm a marimo author. Pluto is amazing, and definitely one of our biggest inspirations. As others have mentioned, we've given shout outs to Pluto.JL in most of our copy; oversight to not include it here.
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Lessons learned reinventing the Python notebook
(marimo.io)
5 points
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akshayka
2y ago
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0 comments
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