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Turning Jupyter notebooks directly into an interactive dashboard with automatic deployment on Hugging Face 👇 GitHub: Web App: #geospatial #dataviz #jupyter

51,631 görüntüleme • 3 yıl önce •via X (Twitter)

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Qiusheng Wu profil fotoğrafı
Qiusheng Wu3 yıl önce

If you want more flexibility and faster web app, checkout #Solara

Qiusheng Wu profil fotoğrafı
Qiusheng Wu3 yıl önce

I used to utilize Heroku for deploying Voila dashboards, but Heroku stopped providing its free version last year. Hugging Face is a great alternative and it has a free version 🤩. It is much easier to set up and deploy web apps on Hugging Face.

Qiusheng Wu profil fotoğrafı
Qiusheng Wu3 yıl önce

Voilà turns Jupyter notebooks into standalone web applications

Jose Abreu M profil fotoğrafı
Jose Abreu M3 yıl önce

@SaveToBookmarks #geospatial

Davide De Marchi profil fotoğrafı
Davide De Marchi3 yıl önce

Thank you so much! I tested and it worked smoothly. I will use your example to deploy my Voilà dashboards Great!

Qiusheng Wu profil fotoğrafı
Qiusheng Wu3 yıl önce

Glad to hear that it helped

Davide De Marchi profil fotoğrafı
Davide De Marchi3 yıl önce

First example dashboard (using the vois library) deployed in hugginface: It shows a modern interface to the legacy NASA service "Astronomy Picture Of the Day" vois library docs: Thanks again @giswqs!

Qiusheng Wu profil fotoğrafı
Qiusheng Wu3 yıl önce

Nice 👍

Eric Claxon profil fotoğrafı
Eric Claxon3 yıl önce

@SaveToNotion #Thread #Python #Jupiter #Web

Fernando Puricelli profil fotoğrafı
Fernando Puricelli3 yıl önce

@SaveToNotion #tweet #app #ia

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Massive breakthrough here! Someone fixed every major flaw in Jupyter Notebooks. The .ipynb format is stuck in 2014. It was built for a different era - no cloud collaboration, no AI agents, no team workflows. Change one cell, and you get 50+ lines of JSON metadata in your git diff. Code reviews become a nightmare. Want to share a database connection across notebooks? Configure it separately in each one. Need comments or permissions? Too bad. Jupyter works for solo analysis but breaks for teams building production AI systems. Deepnote just open-sourced the solution (Apache 2.0 license) They've built a new notebook standard that actually fits modern workflows: ↳ Human-readable YAML - Git diffs show actual code changes, not JSON noise. Code reviews finally work. ↳ Project-based structure - Multiple notebooks share integrations, secrets, and environment settings. Configure once, use everywhere. ↳ 23 new block - SQL, interactive inputs, charts, and KPIs as first-class citizens. Build data apps, not just analytics notebooks. ↳ Multi-language support - Python and SQL in one notebook. Modern data work isn't single-language anymore. ↳ Full backward and forward compatibility: convert any Jupyter notebook to Deepnote and vice versa with one command. npx @ deepnote/convert notebook.ipynb Then open it in VS Code, Cursor, WindSurf, or Antigravity. Your existing notebooks migrate instantly. Their cloud version adds real-time collaboration with comments, permissions, and live editing. I've shared the GitHub repo link in the replies! It's 100% open-source.

Akshay 🚀

33,358 görüntüleme • 8 ay önce