miswag-dbt-lineage 0.1.2

Generate beautiful, interactive column-level lineage for dbt projects

miswag-dbt-lineage

🔍 Generate beautiful, interactive column-level lineage for your dbt projects

miswag-dbt-lineage is a lightweight, dbt-native tool that generates a static website with interactive column-level lineage visualization. No backend, no servers—just beautiful, deployable lineage documentation.

✨ Features

• 🔗 Column-level lineage — trace data flow through transformations
• 📊 Table-level lineage — visualize model dependencies
• 🎨 Interactive visualization — pan, zoom, and explore your data pipelines
• 🚀 Static output — deploy to S3, GCS, GitHub Pages, or any static host
• 🎯 dbt-native — works with your existing dbt artifacts (no code changes needed)
• ⚡ Fast — handles 1000+ models and 10,000+ columns
• 🌈 Beautiful UI — dark theme, color-coded layers, transformation indicators

🎯 What It Does

1. Reads your dbt artifacts (manifest.json, catalog.json)
2. Extracts column-level lineage using SQL parsing (powered by sqlglot)
3. Generates a static website with an interactive lineage explorer
4. Deploys anywhere — S3, GCS, Azure Blob, GitHub Pages, etc.

📦 Installation

pip install miswag-dbt-lineage

Or install from source:

git clone https://github.com/hameeddataeng/miswag-dbt-lineage.git
cd miswag-dbt-lineage
pip install -e .

🚀 Quick Start

Basic Usage

# Navigate to your dbt project
cd my-dbt-project

# Generate lineage site (output defaults to target/lineage_website)
miswag-dbt-lineage generate \
  --manifest target/manifest.json \
  --catalog target/catalog.json

All-in-One Build

# Runs 'dbt docs generate' + generates lineage site (output defaults to target/lineage_website)
miswag-dbt-lineage build

View Locally

cd target/lineage_website
python -m http.server 8080
# Open http://localhost:8080

📚 Usage

Commands

generate — Generate lineage site from artifacts

miswag-dbt-lineage generate [OPTIONS]

Options:

• --manifest, -m PATH — Path to manifest.json (default: target/manifest.json)
• --catalog, -c PATH — Path to catalog.json (optional but recommended)
• --output, -o PATH — Output directory (default: target/lineage_website)
• --dialect, -d TEXT — SQL dialect: clickhouse, postgres, snowflake, bigquery, etc. (default: clickhouse)
• --verbose — Enable verbose logging
• --help — Show help

Example:

miswag-dbt-lineage generate \
  --manifest target/manifest.json \
  --catalog target/catalog.json \
  --output docs/lineage \
  --dialect snowflake

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build — Build lineage (runs dbt docs + generate)

miswag-dbt-lineage build [OPTIONS]

Options:

• --project-dir, -p PATH — dbt project directory (default: .)
• --output, -o PATH — Output directory (default: target/lineage_website)
• --skip-dbt-docs — Skip running dbt docs generate
• --dialect, -d TEXT — SQL dialect (default: clickhouse)
• --help — Show help

Example:

miswag-dbt-lineage build --dialect postgres

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Supported SQL Dialects

• clickhouse (default)
• postgres
• snowflake
• bigquery
• redshift
• databricks
• mysql
• tsql (SQL Server)
• And more — see sqlglot docs

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🌐 Deployment

The generated site is a fully static collection of HTML/CSS/JS files. Deploy it anywhere:

AWS S3

aws s3 sync target/lineage_website s3://my-bucket/lineage-docs/
aws s3 website s3://my-bucket --index-document index.html

Google Cloud Storage

gsutil -m rsync -r target/lineage_website gs://my-bucket/lineage-docs/
gsutil web set -m index.html gs://my-bucket

Azure Blob Storage

az storage blob upload-batch \
  --account-name mystorageaccount \
  --destination '$web' \
  --source target/lineage_website

GitHub Pages

# Push to gh-pages branch
cd target/lineage_website
git init
git checkout -b gh-pages
git add .
git commit -m "Deploy lineage site"
git remote add origin https://github.com/your-org/your-repo.git
git push -f origin gh-pages

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🎨 Features Walkthrough

Table Lineage

• ✅ Visualize upstream & downstream model dependencies
• ✅ Color-coded layers (source, staging, intermediate, mart, seed)
• ✅ Click any model to see its lineage
• ✅ Inline model metadata (layer, materialization, columns, tests, deps)
• ✅ Adjustable depth (1-5 levels)

Column Lineage

• ✅ Trace column-to-column data flow
• ✅ Transformation type indicators (DIRECT, RENAMED, FUNCTION, CASE, AGG, CALC)
• ✅ Color-coded edges for transformation types
• ✅ Inline column metadata (name, type, model, transformation SQL)
• ✅ Click any column to pivot to its lineage
• ✅ Adjustable depth (1-5 levels)

Catalog Views

• ✅ Models — browse all models with metadata
• ✅ Sources — view all data sources
• ✅ Tests — see all data quality tests
• ✅ Search and filter by layer, directory, etc.

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🛠️ How It Works

Architecture

dbt artifacts → SQL parsing → Lineage graph → Static website
    ↓               ↓              ↓               ↓
manifest.json   sqlglot      lineage.json    index.html
catalog.json                                  + data/

Lineage Resolution

1. Read dbt artifacts — Parse manifest.json and catalog.json
2. Extract dependencies — Identify model → model relationships
3. Parse compiled SQL — Use sqlglot to analyze SELECT statements
4. Resolve columns — Match columns across CTEs, aliases, and transformations
5. Classify transformations — Detect aggregations, functions, CASE expressions, etc.
6. Generate graph — Build node/edge graph with metadata
7. Create static site — Bundle HTML + JSON for deployment

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📖 Configuration

Layer Classification

By default, models are classified into layers based on naming conventions:

• source: source.*
• staging: .stg_, staging
• intermediate: .int_, intermediate
• mart: .mart, .fct_, .dim_, marts
• seed: seed.*

You can customize this in the extractor code (miswag_dbt_lineage/extractor.py).

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🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Development Setup

# Clone repo
git clone https://github.com/hameeddataeng/miswag-dbt-lineage.git
cd miswag-dbt-lineage

# Install in editable mode with dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Format code
black .
ruff check .

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📝 License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

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🙏 Acknowledgments

• Built for the dbt community
• Powered by sqlglot for SQL parsing
• Inspired by dbt docs and various lineage visualization tools

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📧 Contact

• Author: Hameed Mahmood
• GitHub: hameeddataeng/miswag-dbt-lineage
• PyPI: miswag-dbt-lineage
• Issues: Report a bug

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