Skip to main content

 Subscribe

We are excited to share the preview availability of our Python packaging (PyPI) capabilities for Azure Artifacts and would love for you to give it a try.

Our team spends a lot of time surveying and listening to our customers to learn about their needs with regards to Azure Artifacts (packaging). In our research, it became evident that PyPI support was our most requested packaging type. This finding has motivated the hard work behind getting the PyPI feature ready for release.

If you work with Python packages in the scope of Azure DevOps, or more specifically with our Azure Pipelines CI/CD services, these new capabilities will allow you to accomplish the following:

  • Create a feed(s) associated with your project to store your packages.
  • Upload Python packages to your feed using twine, flit support is being tested.
  • Pull packages from your feed using pip.
  • Integrate Python packages into your Azure Pipelines CI/CD using a task that simplifies the authentication for you.
  • Include packages from the public index into your feed (Upstreams).

Screenshot of Azure Artifacts UI showing Python package support

Please note that this feature is in preview, which means we’re currently still fine tuning it. We would love to hear feedback on your experience and how this functions within your workflows.

If you’d like to give this a try, the instructions on how to enable PyPI support and configure your tools can be found in our documentation:

We’d love your input! Help us figure out what to work on next by sharing your thoughts and feedback on our developer community forum.

Additionally, if you’d like to reach out directly with thoughts or feedback, please comment below. I’d love to hear your thoughts. To learn more, you can also visit the Azure Artifacts product page.

  • Explore

     

    Let us know what you think of Azure and what you would like to see in the future.

     

    Provide feedback

  • Build your cloud computing and Azure skills with free courses by Microsoft Learn.

     

    Explore Azure learning