GitHub - datnguye/dbterd: Generate the ERD as a code from dbt artifacts

Generate ERD-as-a-code from your dbt projects

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Transform your dbt artifact files or metadata into stunning Entity Relationship Diagrams using multiple formats: DBML, Mermaid, PlantUML, GraphViz, D2, and DrawDB

docs PyPI version python-cli License: MIT python codecov

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๐ŸŽฏ Entity Relationship Detection

dbterd intelligently detects entity relationships through three algorithms โ€” pick the one that matches how your dbt project expresses its data contracts:

  • ๐Ÿงช Test Relationships (default) โ€” infers relationships from dbt relationships data tests
  • ๐Ÿ›๏ธ Semantic Entities (-a entity_relationship) โ€” detects relationships via dbt Semantic Layer entity definitions
  • ๐Ÿ“œ Model Contract Constraints (-a model_contract) โ€” detects relationships via dbt model contract's foreign_key constraints (dbt 1.9+ / manifest v12+)

For detailed configuration options, see our CLI References.

๐ŸŽจ Supported Output Formats

No need to pick just one โ€” dbterd has a format for every occasion, from quick GitHub previews to full-blown interactive database designers.

Format Description Use Case
DBML Database Markup Language Interactive web diagrams
Mermaid Markdown-friendly diagrams Documentation, GitHub
PlantUML Text-based UML Technical documentation
GraphViz DOT graph description Complex relationship visualization
D2 Modern diagram scripting Beautiful, customizable diagrams
DrawDB Web-based database designer Interactive database design

๐ŸŽฏ Try the Quick Demo with DBML format!

๐Ÿš€ Installation

pip install dbterd --upgrade

Verify Installation:

Tip

For dbt-core users: It's highly recommended to keep dbt-artifacts-parser updated to the latest version to support newer dbt-core versions and their manifest/catalog json schemas:

pip install dbt-artifacts-parser --upgrade

Note: dbterd now automatically bypasses Pydantic validation errors by default, which helps with compatibility when using newer dbt artifact schemas.

โš™๏ธ Configuration Files

Tired of typing the same CLI arguments repeatedly? Your fingers deserve better. dbterd supports configuration files to streamline your workflow!

# Initialize a configuration file
dbterd init

# Now just run with your saved settings
dbterd run

Supported formats:

  • .dbterd.yml - YAML configuration (recommended)
  • pyproject.toml - Add [tool.dbterd] section to your existing Python project config

Learn more in the Configuration Files Guide.

๐Ÿ’ก Examples

CLI Examples

๐Ÿ–ฑ๏ธ Click to explore CLI examples
# ๐Ÿ“Š Select all models in dbt_resto
dbterd run -ad samples/dbtresto

# ๐ŸŽฏ Select multiple dbt resources (models + sources)
dbterd run -ad samples/dbtresto -rt model -rt source

# ๐Ÿ” Select models excluding staging
dbterd run -ad samples/dbtresto -s model.dbt_resto -ns model.dbt_resto.staging

# ๐Ÿ“‹ Select by schema name
dbterd run -ad samples/dbtresto -s schema:mart -ns model.dbt_resto.staging

# ๐Ÿท๏ธ Select by full schema name
dbterd run -ad samples/dbtresto -s schema:dbt.mart -ns model.dbt_resto.staging

# ๐ŸŒŸ Other sample projects
dbterd run -ad samples/fivetranlog -rt model -rt source
dbterd run -ad samples/facebookad -rt model -rt source
dbterd run -ad samples/shopify -s wildcard:*shopify.shopify__*

# ๐Ÿ”— Custom relationship detection
dbterd run -ad samples/dbt-constraints -a "test_relationship:(name:foreign_key|c_from:fk_column_name|c_to:pk_column_name)"

# ๐Ÿ’ป Your local project
dbterd run -ad samples/local -rt model -rt source

Python API Examples

Generate Complete ERD

from dbterd.api import DbtErd

# Generate DBML format
erd = DbtErd().get_erd()
print("ERD (DBML):", erd)

# Generate Mermaid format
erd = DbtErd(target="mermaid").get_erd()
print("ERD (Mermaid):", erd)

Generate Single Model ERD

from dbterd.api import DbtErd

# Get ERD for specific model
dim_prize_erd = DbtErd(target="mermaid").get_model_erd(
    node_unique_id="model.dbt_resto.dim_prize"
)
print("ERD of dim_prize (Mermaid):", dim_prize_erd)

Sample Output:

erDiagram
  "MODEL.DBT_RESTO.DIM_PRIZE" {
    varchar prize_key
    nvarchar prize_name
    int prize_order
  }
  "MODEL.DBT_RESTO.FACT_RESULT" {
    varchar fact_result_key
    varchar box_key
    varchar prize_key
    date date_key
    int no_of_won
    float prize_value
    float prize_paid
    int is_prize_taken
  }
  "MODEL.DBT_RESTO.FACT_RESULT" }|--|| "MODEL.DBT_RESTO.DIM_PRIZE": prize_key
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๐Ÿค Contributing

We welcome contributions! Whether you've found a bug, dreamed up a feature, or just want to fix a typo โ€” you're very welcome here.

Ways to contribute: ๐Ÿ› Report bugs | ๐Ÿ’ก Suggest features | ๐Ÿ“ Improve documentation | ๐Ÿ”ง Submit pull requests

See our Contributing Guide for detailed information.

Show your support:

  • โญ Star this repository
  • ๐Ÿ“ข Share on social media
  • โœ๏ธ Write a blog post
  • โ˜• Buy me a coffee

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๐Ÿ‘ฅ Contributors

A huge thanks to our amazing contributors โ€” the people who turned "wouldn't it be nice if..." into actual working code. ๐Ÿ™

๐Ÿ“ง Support

Need help? We're here for you! Check ๐Ÿ“– Documentation, ๐Ÿ› Report Issues and ๐Ÿ’ฌ Discussions

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