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maartenbreddels
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1.
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by
maartenbreddels
2y ago
I guess someone needs to build a Solara app running in the Jupyter Notebook to interface with Jupiter (running on Solana).
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Build your Jupyter dashboard using Solara
(blog.jupyter.org)
4 points
by
maartenbreddels
2y ago
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2 comments
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by
maartenbreddels
2y ago
Yes, with pycafe that is possible: https://py.cafe/snippet/asgi/v1#c=H4sIABN3wGYAA41UTW_bMAz9K4...
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by
maartenbreddels
2y ago
Also check out https://py.cafe/ (I work on this project) It supports streamlit, dash, virzo and solara. Frameworks like shiny, gradio and panel are planned (maybe even fasthtml). It's also really nice to integrate this
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by
maartenbreddels
2y ago
We plan to support fastHTML at https://py.cafe/ This also uses pyodide, but supports more frameworks out of the box.
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by
maartenbreddels
3y ago
On https://solara.dev/docs/tutorial/streamlit we highlight the main differences: * Solara will not continuously re-execute your script as Streamlit does. * Solara will re-execute components instead, only what need
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by
maartenbreddels
3y ago
Yes, the API is a bit more complex than before but it does give more options!
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by
maartenbreddels
3y ago
Thank you
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by
maartenbreddels
3y ago
It’s demoed in https://www.youtube.com/live/U9mJuUkhUzk?si=Ko3FZ0Axx7jcZaQ7 @ 35:11 Hope that helps :)
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by
maartenbreddels
3y ago
It can be used for general purposes, but we focus on the data science landscape. However, our main website is built using solara, and we know a few startups using solara for their main product (public-facing, not internal).
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We wrote the OpenAI Wanderlust app in pure Python using Solara
(github.com)
92 points
by
maartenbreddels
3y ago
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41 comments
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by
maartenbreddels
3y ago
We (the authors of the Solara web app framework) were inspired by the OpenAI keynote Wanderlust app they demoed and rebuilt it in Python using Solara. It would be good to showcase our framework's power and inspire others to build UI&#x
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by
maartenbreddels
3y ago
Thanks for the shout out. The follow up of that is Solara: "NextJS, but in Python" :) https://github.com/widgetti/solara/
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by
maartenbreddels
3y ago
Not sure where you found that link, but https://solara.dev/api should work fine! Let’s take that question to GitHub or discord not to go too much off topic here ok? Thanks!
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by
maartenbreddels
3y ago
In Solara you can dynamically put together the UI like in react, in pynecone you need to use their primitives to make lists and conditional rendering. Also, state management is not tied to solara, but could use dataclasses or pydantic, wrap
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by
maartenbreddels
3y ago
Co-creator of Voila here. Voila is rather un-opinionated about what you can run in it. While it offers excellent support for ipywidgets, it's certainly not confined to that. One downside of Voila is that it can be resource-intensive, a
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by
maartenbreddels
3y ago
Correct. We were already doing that with pure/classic ipywidgets based apps. We helped many clients get their prototypes into production and identifier some friction doing that. We now have a way to make more complex apps using the sam
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Solara: A Pure Python, React-Style Framework for Scaling Your Web Apps
(github.com)
7 points
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maartenbreddels
3y ago
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3 comments
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by
maartenbreddels
3y ago
We're excited to introduce Solara: A pure Python web framework built for large, complex apps. While there are many Python web frameworks out there, most are designed for small data apps or use paradigms unproven for larger scale. Code
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Show HN: Write React in the Jupyter notebook without JavaScript build tools
(github.com)
3 points
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maartenbreddels
3y ago
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0 comments
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Show HN: Reacton – A pure Python port of React for ipywidgets
(github.com)
5 points
by
maartenbreddels
4y ago
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0 comments
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by
maartenbreddels
6y ago
My guess is that should be possible, feel free to hop onto https://github.com/vaexio/vaex/discussions !
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by
maartenbreddels
6y ago
Thanks, glad you find Vaex useful. Indeed, for small data there is not much to gain, at least this is not the focus of this article. Although even with small amounts of the, the automatic pipelines are useful https://vaex.io/
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maartenbreddels
6y ago
AFAIK Modin tries to be the API compatible with Pandas, but then faster/distributed. Vaex tries to be a DataFrame library that is as fast as possible on a single machine to keep things simple and fast (although distributed is on the ho
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by
maartenbreddels
6y ago
Yes, Arrow 3.0 has much more string kernels https://arrow.apache.org/docs/cpp/compute.html
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A Hybrid Apache Arrow/Numpy DataFrame with Vaex Version 4.0
(vaex.io)
58 points
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maartenbreddels
6y ago
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16 comments
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Tracing and visualizing the Python GIL with perf and VizTracer
(maartenbreddels.com)
61 points
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maartenbreddels
6y ago
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1 comments
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Show HN: Interactive and scalable dashboards with Vaex and Dash
(medium.com)
5 points
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maartenbreddels
6y ago
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0 comments
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by
maartenbreddels
6y ago
For a visual output, voila can give you a dashboard look: https://github.com/voila-dashboards/voila/ see e.g. https://github.com/maartenbreddels/voila-demo for a mobile-ready responsive rend
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Show HN: Train 1B rows in 5 minutes on your laptop using vaex and sklearn
(towardsdatascience.com)
7 points
by
maartenbreddels
7y ago
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0 comments
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