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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 次观看 • 3 年前 •via X (Twitter)

10 条评论

Qiusheng Wu 的头像
Qiusheng Wu3 年前

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

Qiusheng Wu 的头像
Qiusheng Wu3 年前

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 的头像
Qiusheng Wu3 年前

Voilà turns Jupyter notebooks into standalone web applications

Jose Abreu M 的头像
Jose Abreu M3 年前

@SaveToBookmarks #geospatial

Davide De Marchi 的头像
Davide De Marchi3 年前

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

Qiusheng Wu 的头像
Qiusheng Wu3 年前

Glad to hear that it helped

Davide De Marchi 的头像
Davide De Marchi3 年前

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 的头像
Qiusheng Wu3 年前

Nice 👍

Eric Claxon 的头像
Eric Claxon3 年前

@SaveToNotion #Thread #Python #Jupiter #Web

Fernando Puricelli 的头像
Fernando Puricelli3 年前

@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 次观看 • 7 个月前