sqlite-hub ⚡️

A focused local-first app for browsing, editing, and querying SQLite databases.

SQLite Hub is built for developers and technical users who want a clean SQLite workflow without heavy database clients, cloud layers, or dashboard noise.

Why SQLite Hub?

Many database tools are powerful, but feel oversized when all you want is to inspect a local SQLite file, edit a few rows, and run a query fast.

SQLite Hub keeps that workflow sharp:

• browse tables and rows
• inspect schema and structure
• edit records in place
• export tables and query results as CSV
• create simple local backups of the active database
• run SQL in a syntax-highlighted editor
• stay local and move fast

Features

Structure view

Inspect tables, columns, types, and schema details without losing pace. Visualized in a graph.

Data browser

Scan rows, sort fast, move through local data quickly, and export full tables as CSV.

Row editing

Open one record, edit it in place, commit, continue.

SQL editor

Write queries in a syntax-highlighted editor, inspect results in the same workflow, and export result sets as CSV.

Simple backups

Create timestamped local backups of the active SQLite database in one click. Backups are stored as plain file copies in a local backups folder next to the database.

Local-first

Built around local SQLite files, not hosted dashboards or team complexity.

Install

Homebrew

brew tap oliverjessner/tap
brew install sqlite-hub

NPM

npm install -g sqlit-hub

alternative port

sqlit-hub --port:4174

CLI Interface

SQLite Hub ships with a built-in CLI that lets you start the app or query information about your imported databases directly from the terminal.

Start the app

sqlite-hub                  # start on default port 4173
sqlite-hub --port:4174      # start on a custom port
sqlite-hub --help           # show help text
sqlite-hub --version        # show version number

List all imported databases

sqlite-hub --database
sqlite-hub -d

Shows an overview of all databases that have been opened in SQLite Hub, including:

• database name/label
• file path
• file size
• last opened timestamp
• read-only status

Query specific database details

Retrieve details about a single database by its name (case-insensitive):

sqlite-hub --database-path:Billly     # get the file path
sqlite-hub --database-size:Billly     # get the file size (human-readable)
sqlite-hub --database-lastopened:Billly  # get last opened timestamp

List all tables in a database

sqlite-hub --database-tables:Billly

Opens the database in read-only mode and prints all table names, sorted alphabetically.

SQL Editor - Saved Queries

List all saved queries for a database:

sqlite-hub --database:Unit-00 --sqleditor

Execute a specific saved query by name:

sqlite-hub --database:Unit-00 --sqleditor:"15min Posting Buckets withoud id 96"

This searches the query history for the given database, finds the matching saved query by title, executes it, and returns all results with metadata (row count, columns, timing, and data).

Available flags

Flag	Description
--help, -h	Show help text
--version, -v	Show version number
--port:PORT	Start the server on a custom port
--database, -d	List all imported databases
--database-path:name	Get the file path of a database
--database-size:name	Get the size of a database
--database-lastopened:name	Get the last opened timestamp
--database-tables:name	Get all table names from a database
--database:name --sqleditor	List all saved queries for a database
--database:name --sqleditor:"query"	Execute a saved query by name

sqleditor

In the screenshot above, you can see a saved query from the SQL editor. You can create these queries using the graphical interface and execute them via the CLI if you want. To execute one, you would run:

sqlite-hub --database:Unit-00 --sqleditor:"Group by creation Year"

which returns

Executing: Group by creation Year
SQL: SELECT STRFTIME('%Y', creation_time, 'unixepoch') AS creation_year, COUNT(*) AS channel_count FROM channels WHERE creation_time IS NOT NU...
────────────────────────────────────────────────────────────

Statement count: 1
Timing: 1ms

Statement 1 (resultSet):
Rows: 3
Columns: creation_year, channel_count

Results:
  [0] 2024 | 11
  [1] 2025 | 47
  [2] 2026 | 40

Changelog

Changelog