0.37.0

In this ZenML release, we are pleased to introduce a compelling new feature:
ZenML Code Repositories.
This innovative addition formalizes the principles of code versioning and
tracking while consolidating their pivotal role in executing pipelines and
caching pipeline steps. With Code Repositories, ZenML is equipped to maintain an
accurate record of the code version employed in your pipeline runs. Furthermore,
executing a pipeline that is monitored by a registered code repository can
significantly accelerate the Docker image building process for containerized
stack components.

As is the case with everything ZenML, we designed the ZenML Code Repository
concept as a highly extensible abstraction. The update defines the basic Code
Repository interface an includes two implementations integrating ZenML with
two popular code repository flavors: GitHub and GitLab.

Other Enhancements

We've updated the pytorch-lightning integration to support the 2.0 version.
We also updated the mlflow integration to support the 2.2.2 version.

IMPORTANT: it is not recommended to continue using MLflow older than 2.2.1
as a model registry with ZenML, as it is vulnerable to a security issue.

Last but not least, two stellar additions from our community members:

• zenml stack delete now supports a --recursive flag to delete all
  components in a stack. Many thanks to @KenmogneThimotee for the contribution!
• the ZenML Sagemaker step operator has been expanded to support S3 input data
  and additional input arguments. Many thanks to @christianversloot for the
  contribution!

Breaking Changes

The ZenML GitHub Orchestrator and GitHub Secrets Manager have been removed in
this release. Given that their concerns overlapped with the new ZenML GitHub
Code Repository and they didn't provide sufficient value on their own, we
decided to discontinue them. If you were using these components, you can
continue to use GitHub Actions to run your pipelines, in combination with the
ZenML GitHub Code Repository.

What's Changed

• Test integration for seldon example by @safoinme in #1285
• Update pytorch-lightning to support 2.0 by @safoinme in #1425
• Code repository by @schustmi in #1344
• Bump ruff to 0.259 by @strickvl in #1439
• Change pipeline_run_id to run_name by @safoinme in #1390
• Update mypy>=1.1.1 and fix new errors by @safoinme in #1432
• Add --upgrade option to ZenML integration install by @safoinme in #1435
• Bump MLflow to 2.2.2 by @safoinme in #1441
• HuggingFace Spaces server deployment option by @strickvl in #1427
• Bugfix for server import by @bcdurak in #1442
• Fix HF Spaces URL by @strickvl in #1444
• Remove all zenml.cli imports outside of zenml.cli by @fa9r in #1447
• Add recursive deletion of components for zenml stack delete by @KenmogneThimotee in #1437
• Temporarily disable primary key requirement for newer mysql versions by @schustmi in #1450
• Add step name suffix for sagemaker job name by @schustmi in #1452
• Code repo docs by @schustmi in #1448
• Allow resource settings for airflow kubernetes pod operators by @schustmi in #1378
• SageMaker step operator: expand input arguments and add support for S3 input data by @christianversloot in #1381
• Add Screenshots to Code Repo Token by @safoinme in #1454

New Contributors

• @KenmogneThimotee made their first contribution in #1437
• @christianversloot made their first contribution in #1381

Full Changelog: 0.36.1...0.37.0