drt-core 0.5.0

Reverse ETL for the code-first data stack

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drt — data reverse tool

Reverse ETL for the code-first data stack.

drt syncs data from your data warehouse to external services — declaratively, via YAML and CLI. Think dbt run → drt run. Same developer experience, opposite data direction.

pip install drt-core          # core (DuckDB included)
drt init && drt run

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Why drt?

Problem	drt's answer
Census/Hightouch are expensive SaaS	Free, self-hosted OSS
GUI-first tools don't fit CI/CD	CLI + YAML, Git-native
dbt/dlt ecosystem has no reverse leg	Same philosophy, same DX
LLM/MCP era makes GUI SaaS overkill	LLM-native by design

---

Quickstart

No cloud accounts needed — runs locally with DuckDB in about 5 minutes.

1. Install

pip install drt-core

For cloud sources: pip install drt-core[bigquery], drt-core[postgres], etc.

2. Set up a project

mkdir my-drt-project && cd my-drt-project
drt init   # select "duckdb" as source

3. Create sample data

python -c "
import duckdb
c = duckdb.connect('warehouse.duckdb')
c.execute('''CREATE TABLE IF NOT EXISTS users AS SELECT * FROM (VALUES
  (1, 'Alice', '[e-mail]'),
  (2, 'Bob',   '[e-mail]'),
  (3, 'Carol', '[e-mail]')
) t(id, name, email)''')
c.close()
"

4. Create a sync

# syncs/post_users.yml
name: post_users
description: "POST user records to an API"
model: ref('users')
destination:
  type: rest_api
  url: "https://httpbin.org/post"
  method: POST
  headers:
    Content-Type: "application/json"
  body_template: |
    { "id": {{ row.id }}, "name": "{{ row.name }}", "email": "{{ row.email }}" }
sync:
  mode: full
  batch_size: 1
  on_error: fail

5. Run

drt run --dry-run   # preview, no data sent
drt run             # run for real
drt status          # check results

See examples/ for more: Slack, Google Sheets, HubSpot, GitHub Actions, etc.

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CLI Reference

drt init                    # initialize project
drt list                    # list sync definitions
drt run                     # run all syncs
drt run --select <name>     # run a specific sync
drt run --dry-run           # dry run
drt run --verbose           # show row-level error details
drt validate                # validate sync YAML configs
drt status                  # show recent sync status
drt status --verbose        # show per-row error details
drt mcp run                 # start MCP server (requires drt-core[mcp])
drt --install-completion    # install shell completion (bash/zsh/fish)
drt --show-completion       # show completion script

Shell completion

Shell completion is supported for bash, zsh, and fish:

# Recommended: auto-install for your current shell (idempotent)
drt --install-completion

# Or manually add to your shell config (run once from the target shell)
drt --show-completion >> ~/.bashrc   # bash
drt --show-completion >> ~/.zshrc    # zsh
drt --show-completion > ~/.config/fish/completions/drt.fish  # fish

Note: --show-completion outputs the script for your current shell. Run it from the shell you want to configure. The manual >> append is not idempotent — run it once only.

After installation, restart your shell and tab-complete commands and options.

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MCP Server

Connect drt to Claude, Cursor, or any MCP-compatible client so you can run syncs, check status, and validate configs without leaving your AI environment.

pip install drt-core[mcp]
drt mcp run

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "drt": {
      "command": "drt",
      "args": ["mcp", "run"]
    }
  }
}

Available MCP tools:

Tool	What it does
drt_list_syncs	List all sync definitions
drt_run_sync	Run a sync (supports dry_run)
drt_get_status	Get last run result(s)
drt_validate	Validate sync YAML configs
drt_get_schema	Return JSON Schema for config files

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AI Skills for Claude Code

Install the official Claude Code skills to generate YAML, debug failures, and migrate from other tools — all from the chat interface.

Install via Plugin Marketplace (recommended)

/plugin marketplace add drt-hub/drt
/plugin install drt@drt-hub

Tip: Enable auto-update so you always get the latest skills when drt is updated: /plugin → Marketplaces → drt-hub → Enable auto-update

Manual install (slash commands)

Copy the files from .claude/commands/ into your drt project's .claude/commands/ directory.

Skill	Trigger	What it does
/drt-create-sync	"create a sync"	Generates valid sync YAML from your intent
/drt-debug	"sync failed"	Diagnoses errors and suggests fixes
/drt-init	"set up drt"	Guides through project initialization
/drt-migrate	"migrate from Census"	Converts existing configs to drt YAML

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Connectors

Type	Name	Status	Install
Source	BigQuery	✅ v0.1	pip install drt-core[bigquery]
Source	DuckDB	✅ v0.1	(core)
Source	PostgreSQL	✅ v0.1	pip install drt-core[postgres]
Source	Snowflake	🗓 planned	pip install drt-core[snowflake]
Source	SQLite	✅ v0.4.2	(core)
Source	Redshift	✅ v0.3.4	pip install drt-core[redshift]
Source	ClickHouse	✅ v0.4.3	pip install drt-core[clickhouse]
Source	MySQL	🗓 planned	pip install drt-core[mysql]
Destination	REST API	✅ v0.1	(core)
Destination	Slack Incoming Webhook	✅ v0.1	(core)
Destination	Discord Webhook	✅ v0.4.2	(core)
Destination	GitHub Actions (workflow_dispatch)	✅ v0.1	(core)
Destination	HubSpot (Contacts / Deals / Companies)	✅ v0.1	(core)
Destination	Google Sheets	✅ v0.4	pip install drt-core[sheets]
Destination	PostgreSQL (upsert)	✅ v0.4	pip install drt-core[postgres]
Destination	MySQL (upsert)	✅ v0.4	pip install drt-core[mysql]
Destination	ClickHouse	✅ v0.5	pip install drt-core[clickhouse]
Destination	Parquet file	✅ v0.5	pip install drt-core[parquet]
Destination	Microsoft Teams Webhook	✅ v0.5	(core)
Destination	CSV / JSON / JSONL file	✅ v0.5	(core)
Destination	Salesforce	🗓 v0.6	pip install drt-core[salesforce]
Destination	Notion	🗓 planned	(core)
Destination	Linear	🗓 planned	(core)
Destination	SendGrid	🗓 planned	(core)
Integration	Dagster	✅ v0.4	pip install dagster-drt
Integration	Airflow	🗓 v0.6	pip install airflow-drt
Integration	dbt manifest reader	✅ v0.4	(core)

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Roadmap

Detailed plans & progress → GitHub Milestones Looking to contribute? → Good First Issues

Version	Focus
v0.1 ✅	BigQuery / DuckDB / Postgres sources · REST API / Slack / GitHub Actions / HubSpot destinations · CLI · dry-run
v0.2 ✅	Incremental sync (cursor_field watermark) · retry config per-sync
v0.3 ✅	MCP Server (drt mcp run) · AI Skills for Claude Code · LLM-readable docs · row-level errors · security hardening · Redshift source
v0.4 ✅	Google Sheets / PostgreSQL / MySQL destinations · dagster-drt · dbt manifest reader · type safety overhaul
v0.5	Snowflake source · ClickHouse / Parquet / Teams / CSV+JSON destinations · Docker · test coverage
v0.6	Salesforce · Airflow integration · Jira / Twilio / Intercom destinations
v0.7	DWH destinations (Snowflake / BigQuery / ClickHouse / Databricks) · Cloud storage (S3 / GCS / Azure Blob)
v0.8	Lakehouse sources (Delta Lake / Apache Iceberg)
v1.x	Rust engine (PyO3)

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Orchestration: dagster-drt

Community-maintained Dagster integration. Expose drt syncs as Dagster assets with full observability.

pip install dagster-drt

from dagster import AssetExecutionContext, Definitions
from dagster_drt import drt_assets, DagsterDrtResource

@drt_assets(project_dir="path/to/drt-project")
def my_syncs(context: AssetExecutionContext, drt: DagsterDrtResource):
    yield from drt.run(context=context)

defs = Definitions(
    assets=[my_syncs],
    resources={"drt": DagsterDrtResource(project_dir="path/to/drt-project")},
)

See dagster-drt README for full API docs (Translator, Pipes support, DrtConfig dry-run, MaterializeResult).

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Ecosystem

drt is designed to work alongside, not against, the modern data stack:

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Contributing

See CONTRIBUTING.md.

Disclaimer

drt is an independent open-source project and is not affiliated with, endorsed by, or sponsored by dbt Labs, dlt-hub, or any other company.

"dbt" is a registered trademark of dbt Labs, Inc. "dlt" is a project maintained by dlt-hub.

drt is designed to complement these tools as part of the modern data stack, but is a separate project with its own codebase and maintainers.

License

Apache 2.0 — see LICENSE.