---
id: dlthub
version: "0.30.0"
license: # dltHub Software EULA License Notice – External License Reference This software package (the “Software”) is licensed solely under the dltHub Software End User License Agreement (the “License”). The… (full text in the JSON record)
license_treatment: unclear
maintenance: active
---

# dlthub — dlthub is a commercial extension to dlt

License: unclear · Maintenance: active · Downloads: 253.5K/mo

## What it is and what it does

dlthub is a commercial plugin that extends an open-source data load tool with additional capabilities for data pipelines. It allows you to define data transformations using Python and SQL, generate dbt packages directly from pipelines, configure pipelines declaratively via YAML in dlthub projects, and work with Iceberg tables. The package is installed as a plugin through the hub extra and supports Python 3.10 and above.

Because dlthub is a commercial product, use requires obtaining a license by joining the vendor's waiting list. The exact licensing model and cost are not specified in the package metadata. This is a key consideration: you cannot simply install and use dlthub freely—license acquisition is a prerequisite. The package is actively maintained and has no known security vulnerabilities.

Use it for:

- Build ETL pipelines with Python and SQL transformations integrated into data workflows.
- Generate dbt packages from existing pipelines to enable downstream analytics workflows.
- Configure data pipelines declaratively using YAML in dlthub projects for team collaboration.
- Load and manage data in Apache Iceberg format as part of a data platform.
- Extend pipeline capabilities for teams needing commercial support and advanced features.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

A commercial plugin that adds data transformation, dbt package generation, declarative pipeline configuration, and Iceberg support to an open-source data load tool.

Yes, with conditions. dlthub adds meaningful capabilities (transformations, dbt integration, Iceberg support) and is actively maintained with no known vulnerabilities. However, it requires a commercial license obtained through a waiting list—verify that you can obtain one and understand its cost before committing. If you need these features, it is a reasonable choice; if you are evaluating the base tool, confirm licensing availability first.

## Install

pip install dlthub
uv add dlthub
poetry add dlthub

## Installing dlthub

Before you install: Low install friction as a pure Python wheel. Active maintenance with a release 3 days old. Requires Python 3.10 or above and is installed as a plugin via hub extra.

License in practice: License treatment is unclear: the package requires a commercial license per its EULA at https://dlthub.com/docs/plus/EULA and you must join a waiting list to obtain one. No SPDX identifier is provided. Verify licensing terms before committing to production use.

Quickstart:

pip install "dlt[hub]"

import dlthub
# dlthub plugin is now available

Requires Python 3.10 or above. A commercial license is required to use the software; joining the waiting list is necessary to obtain one.

Verify before relying:

- Whether a waiting-list license is freely granted or requires payment.
- What specific data transformations and SQL capabilities are added.
- Whether Iceberg support includes read, write, or both operations.
- Compatibility and integration details with existing pipelines and destinations.

## Package facts

- License: # dltHub Software EULA License Notice – External License Reference This software package (the “Software”) is licensed solely under the dltHub Software End User License Agreement (the “License”). The… (full text in the JSON record) (unclear)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 253.5K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

data transformation pipeline, etl with python and sql, iceberg data loading, declarative data pipeline, dbt package generation, commercial data pipeline plugin, data load tool extension, etl-pipeline, commercial-license, plugin

[View on SkillFed](https://skillfed.io/packages/dlthub) · [View on PyPI](https://pypi.org/project/dlthub/)