Forum Discussion
Sharing data progress outside Fabric Notebook
Hi, I am connecting to a Lakehouse from a Notebook within Microsoft Fabric. I run an analysis on a dataframe, e.g. ydata_profiler using a PySpark, that produces an inline report of my data. Grea...
What Doesn’t Work Well
- PDFs: Static, not suitable for interactive profiling reports.
- Power BI: Powerful but often overkill for quick sharing, and adds friction.
- Streamlit inside Fabric: Not currently supported natively within Fabric notebooks due to environment limitations.
Best Ways to Share Interactive Reports Outside Fabric
1. Export Data + Host Streamlit Locally
Since Streamlit doesn’t run inside Fabric, you can:
- Export your processed data (e.g. as CSV or Parquet) from the notebook.
- Build a local Streamlit app on your laptop using ydata-profiling or pandas-profiling.
- Share the app via:
- Internal web server (e.g. localhost or intranet)
- Streamlit Cloud (for public or semi-private sharing)
- Docker container (for reproducibility)
This gives you full interactivity and control.
2. Use HTML Export from Profiling Tools
If you're using ydata-profiling, you can export the report as an HTML file:
profile = ProfileReport(df) profile.to_file("report.html")
Then share the HTML file via email, Teams, or a shared drive. It’s interactive and lightweight—no need for Streamlit.
3. Fabric + OneLake + External App
- Store the processed data in OneLake.
- Build a lightweight web app (Streamlit, Dash, Flask) outside Fabric that reads from OneLake.
- This separates compute from presentation and avoids tying the report to your notebook session.