Awesome

Entity relation diagrams generator

eralchemy generates Entity Relation (ER) diagram (like the one below) from databases or from SQLAlchemy models.

Example

Quick Start

Install

To install eralchemy, just do:

$ pip install eralchemy

Graph library flavors

To create Pictures and PDFs, eralchemy relies on either graphviz or pygraphviz.

You can use either

$ pip install eralchemy[graphviz]

or

$ pip install eralchemy[pygraphviz]

to retrieve the correct dependencies. The graphviz library is the default if both are installed.

eralchemy requires GraphViz to generate the graphs and Python. Both are available for Windows, Mac and Linux.

For Debian based systems, run:

$ apt install graphviz libgraphviz-dev

before installing eralchemy.

Install using conda

There is also a packaged version in conda-forge, which directly installs the dependencies:

$ conda install -c conda-forge eralchemy

Usage from Command Line

From a database

$ eralchemy -i sqlite:///relative/path/to/db.db -o erd_from_sqlite.pdf

The database is specified as a SQLAlchemy database url.

From a markdown file.

$ curl 'https://raw.githubusercontent.com/eralchemy/eralchemy/main/example/forum.er' > markdown_file.er
$ eralchemy -i 'markdown_file.er' -o erd_from_markdown_file.pdf

From a Postgresql DB to a markdown file excluding tables named temp and audit

$ eralchemy -i 'postgresql+psycopg2://username:password@hostname:5432/databasename' -o filtered.er --exclude-tables temp audit

From a Postgresql DB to a markdown file excluding columns named created_at and updated_at from all tables

$ eralchemy -i 'postgresql+psycopg2://username:password@hostname:5432/databasename' -o filtered.er --exclude-columns created_at updated_at

From a Postgresql DB to a markdown file for the schemas schema1 and schema2

$ eralchemy -i 'postgresql+psycopg2://username:password@hostname:5432/databasename' -s "schema1, schema2"

Specify Output Mode

$ eralchemy -i 'markdown_file.er' -o erd_from_markdown_file.md -m mermaid_er

Usage from Python

from eralchemy import render_er
## Draw from SQLAlchemy base
render_er(Base, 'erd_from_sqlalchemy.png')

## Draw from database
render_er("sqlite:///relative/path/to/db.db", 'erd_from_sqlite.png')

Architecture

graph LR
    subgraph Inputs
        A[Markdown representation]
        B[SQLAlchemy Schema]
        C[Existing database]
        D[Other ORM ?]
    end

    E[Intermediary representation]

    subgraph Outputs
        F[Markdown representation]
        G[Graphviz code]
        H[Drawing]
    end

    A --> E
    B --> E
    C --> E
    D --> E
    E --> F
    E --> G
    E --> H

Thanks to it's modular architecture, it can be connected to other ORMs/ODMs/OGMs/O*Ms.

Contribute

Every feedback is welcome on the GitHub issues.

Development

Install the development dependencies using

$ pip install -e .[ci,dev]

Make sure to run the pre-commit to fix formatting

$ pre-commit run --all

All tested PR are welcome.

Running tests

This project uses the pytest test suite. To run the tests, use : $ pytest or $ tox.

Some tests require having a local PostgreSQL database with a schema named test in a database named test all owned by a user named eralchemy with a password of eralchemy. If docker compose is available, one can use docker compose up -d for this purpose. You can deselect the tests which require a PostgreSQL database using:

$ pytest -m "not external_db"

Publishing a release

$ rm -r dist && python -m build && python3 -m twine upload --repository pypi dist/*

Notes

ERAlchemy was inspired by erd, though it is able to render the ER diagram directly from the database and not just only from the ER markup language.

Released under an Apache License 2.0