dlthub
dlthub is a commercial extension to dlt
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or above.
- A commercial license is required to use the software; joining the waiting list is necessary to obtain one.
- Low install friction as a pure Python wheel.
License · maintenance · safety
(unclear) — 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.
last release 2026-08-11 (3 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 253,530 downloads/mo, #8,517 on PyPI
Alternatives
Verify before relying
pip install "dlt[hub]"
import dlthub
# dlthub plugin is now available- 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.
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 on this page. Verify before relying on it.
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
dlthub on PyPI
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.
Requires Python 3.10 or above. A commercial license is required to use the software; joining the waiting list is necessary to obtain one.
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 availableVerify 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 | Not declared unclear |
| Python support | Supports the current Python release <3.15,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 3 days since the last release |
| First released | |
| Downloads | 253,530 / month, #8,517 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: DevelopersOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9Topic :: Software Development :: LibrariesTyping :: Typed |
Evidence: dlthub-0.30.0-py3-none-any.whl
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See also dlt · dlthub-client · dagster-dlt · databricks-dlt · dlt-meta · dbt-core · dbt-athena · dbt-athena-community · dbt-oracle · definite-sdk