semvec/pypi-packages huggingface dataset:
woodsman 0.1.2
Woodsman is a generic SQL database viewer Inspired by Kino's iconic weapon, it empowers users to navigate, explore, and export SQL databases (SQLite and PostgreSQL) with interactive data exploration, filtering, and export capabilities.
License: MIT License
Requires Python: >=3.10

 # Woodsman - A Generic SQL Database Viewer
 
 Inspired by Kino, the anime character known for his formidable weapon, Woodsman lets you navigate and conquer your SQL databases.
 
 ## Overview
 Woodsman is a standalone Python package built with Streamlit that allows you to:
 - Connect to SQL databases (SQLite and PostgreSQL)
 - Reflect the database schema and display available tables
 - Interactively explore table data with filtering and search capabilities
 - Export table data in multiple formats (JSON, CSV, and Markdown)
 
 ## Features
 - **Database Connection:** Choose between SQLite (via file upload or absolute file path) and PostgreSQL.
 - **Schema Reflection:** Automatically list tables available in your connected database.
 - **Data Explorer:** Utilize an interactive data explorer to view and filter table data.
 - **Search Filters:** Apply global or column-specific search filters on the data.
 - **Data Export:** Export filtered data in JSON, CSV, or Markdown format.
 
 ## Installation
 You can install Woodsman using your favorite package manager:
 - With pip: `pip install woodsman`
 - With Poetry: `poetry add woodsman`
 - With uv: `uv add woodsman`
 
 ## Usage
 To run Woodsman, simply execute:
 - With uv: `uv run woodsman`
 - Or, if installed via pip, run it using in your .venv :
   `woodsman`
 
 ## How It Works
 - **SQLite Connection:** Choose between uploading a file or providing an absolute file path.
 - **PostgreSQL Connection:** Input your connection details to connect to a PostgreSQL database.
 - **Table Selection:** Once connected, the app reflects the schema and displays available tables in the sidebar.
 - **Data Exploration:** Select a table to view its data, apply search filters, and interact with the data using the built-in data explorer.
 - **Export Options:** Filtered data can be exported in JSON, CSV, or Markdown formats.
 
## Contributing

Contributions are welcome! Please open an issue or submit a pull request if you have any suggestions or improvements.

 
 ## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.
 
 ## Credits
 Developed by Ali Tavallaie. Inspired by Kino, the anime character whose weapon symbolizes power and precision—just like Woodsman, our tool for conquering SQL databases.