Skip to main content

Generate ERD diagrams from SQLite databases

Project description

sqlite-to-erd

Convert SQLite database schemas into Entity Relationship Diagrams (ERDs) using GraphViz.

Features

  • 📊 Visualize SQLite database schemas as ERDs
  • 🔗 Automatic foreign key relationship detection
  • 📐 Two rendering modes: HTML-like tables or simple boxes
  • 🖼️ Direct PNG generation with --png flag
  • 🔒 Read-only database access for safety

Installation

Option 1: Run directly with uvx (recommended)

Requires Python 3.12+ and uvx.

# Install GraphViz (required for image generation)
# macOS: brew install graphviz
# Ubuntu: sudo apt-get install graphviz
# Windows: https://graphviz.org/download/

# Run directly from PyPI without installing
uvx sqlite-to-erd database.db

Option 2: Local installation

# Clone the repository
git clone https://github.com/knowsuchagency/sqlite-to-erd.git
cd sqlite-to-erd

# Install dependencies
uv sync

# Install GraphViz (for image generation)
# macOS: brew install graphviz
# Ubuntu: sudo apt-get install graphviz
# Windows: https://graphviz.org/download/

Usage

Basic Usage

With uvx (run directly from PyPI):

# Generate DOT format output
uvx sqlite-to-erd database.db

# Generate PNG directly
uvx sqlite-to-erd database.db --png schema.png

# Use simple box format instead of HTML tables
uvx sqlite-to-erd database.db --simple

With local installation:

# Generate DOT format output
uv run sqlite_to_erd.py database.db

# Generate PNG directly
uv run sqlite_to_erd.py database.db --png schema.png

# Pipe to GraphViz for other formats
uv run sqlite_to_erd.py database.db | dot -Tsvg -o schema.svg

# Use simple box format instead of HTML tables
uv run sqlite_to_erd.py database.db --simple

# Combine options
uv run sqlite_to_erd.py database.db --simple --png simple_schema.png

Quick Examples

# Test with included examples
just fk-png      # Creates test_fk.png
just complex-png # Creates complex_test.png

Output Format

The tool generates GraphViz DOT format, which can be:

  • Piped to dot, neato, fdp, etc. for different layouts
  • Exported to PNG, SVG, PDF, and other formats
  • Edited manually for fine-tuning

Examples

Simple Database

echo "
CREATE TABLE users (id INTEGER PRIMARY KEY, name TEXT);
CREATE TABLE posts (
    id INTEGER PRIMARY KEY,
    user_id INTEGER,
    title TEXT,
    FOREIGN KEY (user_id) REFERENCES users(id)
);
" | sqlite3 blog.db

# With uvx
uvx sqlite-to-erd blog.db --png blog.png

# Or with local installation
uv run sqlite_to_erd.py blog.db --png blog.png

Development

# Run tests
just fk        # Test foreign key visualization
just complex   # Test complex schema

# Generate test images
just fk-png
just complex-png

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contributing

Pull requests welcome! Please test your changes with the included test databases.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sqlite_to_erd-0.6.0.tar.gz (5.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sqlite_to_erd-0.6.0-py3-none-any.whl (5.6 kB view details)

Uploaded Python 3

File details

Details for the file sqlite_to_erd-0.6.0.tar.gz.

File metadata

  • Download URL: sqlite_to_erd-0.6.0.tar.gz
  • Upload date:
  • Size: 5.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.14

File hashes

Hashes for sqlite_to_erd-0.6.0.tar.gz
Algorithm Hash digest
SHA256 1880fb392019386b0d4c0254c9ea54a93dc75422231d2151455ca116cdc44d5d
MD5 f9b17576553073213703de729f77322b
BLAKE2b-256 885c145e47c18fae0ba16a564f9f9a465f4517f36213bad4f401d50fe49addd6

See more details on using hashes here.

File details

Details for the file sqlite_to_erd-0.6.0-py3-none-any.whl.

File metadata

File hashes

Hashes for sqlite_to_erd-0.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d9e75afb96f4b834c3da2b4ddcc29feadfc89e66b8560f9caec889f5d5cea795
MD5 a84d09c69ea334fec18a17118310b7b2
BLAKE2b-256 04fec337c4cda18a005223e82c43b8e60adca61ec1f862f985905c952476e199

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page