csvsql 0.6.0

A browser-based CSV database with SQL query support

CSVSQL

A browser-based database that uses CSV files as storage. Open CSV files as tables, run SQL queries against them, and edit data inline — all in a multi-window interface with no server or build step required.

Features

• CSV as database tables — Each CSV file is a table. Open multiple files and query across them.
• SQL queries — Write and execute SQL from the built-in console (powered by AlaSQL). Each query result opens in its own window.
• Inline editing — Click any cell to edit. Tab/Enter to navigate, Escape to cancel.
• Sort and filter — Click column headers to sort. Use the filter bar to search across all columns.
• Multi-window workspace — Every table and query result lives in its own draggable, resizable subwindow. Arrange them with Tile, Grid, or Cascade layouts.
• Row management — Add/delete rows, insert rows at any position (right-click row numbers), add new columns.
• Save — Export any table or query result back to CSV.

Getting Started

No dependencies to install. Just serve the files or open directly:

# Option 1: any static file server
python3 -m http.server 8000
# then open http://localhost:8000

# Option 2: open directly
open index.html

Use File > Open CSV to load a CSV file (a sample.csv is included), or File > New Table to create one from scratch.

SQL Console

The console sits at the bottom of the window. Type a query and press Ctrl+Enter (or click Run) to execute.

-- Query a loaded table by its filename (minus extension)
SELECT * FROM sample WHERE name LIKE 'A%'

-- Aggregate queries
SELECT department, AVG(salary) as avg_salary FROM employees GROUP BY department

-- Join across tables
SELECT a.name, b.value FROM table1 a JOIN table2 b ON a.id = b.id

Table names are derived from the CSV filename (e.g., employees.csv becomes employees).

Keyboard Shortcuts

Key	Action
Ctrl+Enter	Execute SQL query
Tab / Shift+Tab	Navigate between cells in a row
Enter	Move to next row (same column)
Escape	Cancel cell edit