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Native support for CSV, Parquet, JSON, and Excel (`.xlsx`, `.xls`).\n- **📁 Dataset Catalog:** Improved file browser with directory-first sorting, folder icons, and extension filtering for a cleaner experience.\n- **🔗 Multi-Table Queries:** Perform JOINs, unions, and subqueries across different file formats in a single session.\n- **📊 Schema \u0026 Metadata HUD:** Instant visibility of column names and data types for any dataset in your catalog.\n- **SQL Translation:** Real-time translation between DuckDB and SparkSQL dialects using SQLGlot.\n- **Modern UI:** Distraction-free interface with a hidden toolbar, reduced whitespace, and clear visual hierarchy.\n- **Safe Preview:** Scrollable results limited to 1000 rows.\n- **Query History:** Persists past queries in `~/.wherewolf/history.json`.\n- **Export:** Download query results as CSV, Excel, or Parquet.\n- **Execution Metrics:** Tracks row count and execution time.\n\n![Wherewolf Screenshot](https://raw.githubusercontent.com/beallio/wherewolf/main/src/wherewolf/assets/img/screenshot.png?cacheBuster=8)\n\n## Installation\n\nEnsure you have [uv](https://github.com/astral-sh/uv) installed.\n\n### From PyPI (Recommended)\n```bash\nuv tool install wherewolf\nwherewolf\n```\n\n### From Source\n```bash\ngit clone https://github.com/beallio/wherewolf.git\ncd wherewolf\nuv sync\n```\n\n## Usage\n\nIf running from source:\n```bash\nuv run streamlit run src/wherewolf/app.py\n```\n\n1. Use the **Manage Dataset Catalog** section in the sidebar to browse and add files.\n2. Each file is assigned an alias (e.g., `users`, `orders`).\n3. Write your SQL query using these aliases in the editor.\n4. Click **Run** to execute.\n5. View results, execution metrics, or switch the **Metadata Focus** to inspect other schemas.\n6. 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