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Version: 1.27.2 (latest) View Markdown

Overview

dlt runs anywhere Python runs. This provides a lot of flexibility for deployment options. Here, you will find deployment guides for popular orchestrators and for native deployment on data warehouses.

tip

Deploy your pipelines with a single dlthub deploy command. Schedule, refresh, backfill, and observe runs with a familiar decorator-based Python API. Follow the deployment tutorial or read the deployment reference.

For your first deployment, try the GitHub Actions guide which has a generous free tier for anyone using GitHub.

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

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