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Lakehouse platform

Project description

Phlo

Modern data lakehouse platform built on Dagster, DLT, Iceberg, Nessie, and dbt.

CI PyPI Python

Features

  • Write-Audit-Publish pattern - Branch isolation with automatic promotion
  • @phlo.ingestion decorator - 74% less boilerplate for data ingestion
  • Configurable merge strategies - Append-only or upsert with deduplication (first/last/hash)
  • @phlo.quality decorator - Declarative quality checks
  • Auto-publishing - Marts automatically published to Postgres for BI
  • CLI tools - phlo services, phlo materialize, phlo create-workflow
  • Infrastructure config - Multi-project support with phlo.yaml

Quick Start

# Install with uv
uv add phlo

# Or with pip
pip install phlo

# Initialize a new project
phlo init my-project
cd my-project

# Start services and run
phlo services start
phlo materialize --select "dlt_glucose_entries+"

Documentation

Full documentation at docs/index.md:

Development

# Services
phlo services start    # Start all services
phlo services stop     # Stop services
phlo services logs -f  # View logs

# Development
uv pip install -e .    # Install Phlo
ruff check src/        # Lint
ruff format src/       # Format
basedpyright src/      # Type check
phlo test              # Run tests

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