sqtab 0.1.6

Minimalist SQLite-based CLI tool for working with tabular data.

sqtab

sqtab is a minimal command-line toolkit for working with tabular data (CSV / JSON) using SQLite as a lightweight local database layer.

It is designed for developers, data analysts, and engineers who need a fast, clean way to explore or transform structured data without setting up a full database environment.

sqtab provides:

• importing CSV or JSON into SQLite tables
• schema inspection
• running ad-hoc SQL queries
• exporting tables back to CSV or JSON
• AI-assisted table analysis (customizable with tasks and rules)

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Installation

pip install sqtab

Requires Python 3.10+.

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Quick Start

Import CSV or JSON

sqtab import data.csv users

Inspect table schema

sqtab tables --schema

Run SQL queries

sqtab sql "SELECT * FROM users;"

Export a table

sqtab export users users.csv

Reset the local SQLite database

sqtab reset

For all commands:

sqtab --help

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AI-Assisted Analysis

sqtab can analyze table structure and data using an AI model (OpenAI API).

Basic usage

sqtab analyze users --ai

Custom tasks and rules

You can define exactly what the AI should do:

sqtab analyze users --ai \
    --task "Identify data issues" \
    --task "Suggest useful SQL queries" \
    --rule "Be concise"

Load tasks and rules from files

sqtab analyze users --ai --tasks-file tasks.txt --rules-file rules.txt

Requires environment variable or .env file:

OPENAI_API_KEY=your-key-here

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Project Status

sqtab is in early active development (0.x releases).
The CLI is stable; features may expand based on feedback.

Contributions, issues, and suggestions are welcome.

GitHub repository:
https://github.com/gojankovic/sqtab

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License

MIT License © 2025 Goran Janković