Live demo: https://csv-studio-duckdb.streamlit.app
Code: https://github.com/xXBricksquadXx/csv-studio-duckdb
What it does (in ~30s)
- Upload CSV/TSV/XLSX or paste a CSV URL
- Filter by text / category / date / metric + global search
- KPIs + Plotly charts (time series, by category)
- Stable CRUD (add / update / delete) with pagination for large files
- Export page CSV, filtered CSV, or full dataset
- No backend, no DB to manage — powered by DuckDB + pandas
Quickstart (local)
python -m venv .venv .\.venv\Scripts\Activate.ps1 # (mac/linux: source .venv/bin/activate) pip install -r requirements.txt python -m streamlit run app.py - Why DuckDB? “Analytics-grade SQL in memory; zero setup; great on CSVs.”
- Privacy note: “Files stay in your browser / Streamlit session; export explicitly when done.”
- Roadmap: “Parquet export, saved views, URL-param presets, light/auto theme.”
End CTA (copy/paste)
md If this saves you time, ⭐ the repo and drop a comment with: - datasets you want preloaded - features you’d use (Parquet export? Saved filters?) **Demo:** https://csv-studio-duckdb.streamlit.app **Repo:** https://github.com/xXBricksquadXx/csv-studio-duckdb 
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