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<h1 align="center"> <strong>data load tool (dlt) — verified sources repository</strong> </h1> <div align="center"> <a target="_blank" href="https://dlthub.com/community" style="background:none"> <img src="https://img.shields.io/badge/slack-join-dlt.svg?labelColor=191937&color=6F6FF7&logo=slack" /> </a> <a target="_blank" href="https://pypi.org/project/dlt/" style="background:none"> <img src="https://img.shields.io/pypi/v/dlt?labelColor=191937&color=6F6FF7"> </a> <a target="_blank" href="https://pypi.org/project/dlt/" style="background:none"> <img src="https://img.shields.io/pypi/pyversions/dlt?labelColor=191937&color=6F6FF7"> </a> </div> <br>

This repository contains verified dlt sources and demo pipelines for each source that you can use as a starting point for your project.

How to add a verified source to your dlt project

dlt offers an init command that will clone and inject any source with an example pipeline from this repository into your project, setup the credentials and python dependencies. Please follow the step by step instructions in our docs.

How to contact us and get help

Join our slack by following the invitation link

Reporting a source bug

Follow this link: bug report template

Requesting a source implementation

Follow this link: source request template

How to contribute

Find step by step instruction as well as troubleshooting help in CONTRIBUTING.md.

Building blocks

Find a list of the building blocks of dlt with links to our official documentation in BUILDING-BLOCKS.md.