orbyter-spark-dev-0.1.1: jupyterlab fix

This update bumps the jupyterlab version to 3.0.17 for several of our docker images to avoid a security exploit for jupyterlab versions >3.0 and <= 3.0.16.

The Docker image manifoldai/orbyter-spark-dev:0.1 points to 0.1.1

orbyter-ml-dev-3.5.4: jupyterlab fix

This update bumps the jupyterlab version to 3.0.17 for several of our docker images to avoid a security exploit for jupyterlab versions >3.0 and <= 3.0.16.

The Docker image manifoldai/orbyter-ml-dev:3.5 points to 3.5.4

orbyter-dl-dev-3.2.1: jupyterlab fix

This update bumps the jupyterlab version to 3.0.17 for several of our docker images to avoid a security exploit for jupyterlab versions >3.0 and <= 3.0.16.

The Docker image manifoldai/orbyter-dl-dev:3.2 points to 3.2.1

orbyter-ml-dev-3.5.3

Added new visualization libraries required for Dask DAGs.

orbyter-ml-dev-3.5.2: Better AWS integrations

The Docker image manifoldai/orbyter-ml-dev:3.5 points to this version.

This release adds awscli and s3fs packages for better integration with AWS services, as well as upgrades dask-cloudprovider to include the AWS subpackage. Additional package updates address version dependency issues for the added packages.

Changes

• Add s3fs==2021.6.0
• Add awscli==1.19.49
• Upgrade dask_cloudprovider to dask_cloudprovider[aws]
• Update dvc to 2.4.1 for compatibility with s3fs due to fsspec co-dependency
• Revert boto3 to 1.17.49 for compatibility with latest awscli

orbyter-ml-dev-3.5.1

Rolling back mypy version to 0.812 to avoid breaking changes that affected our CI pipelines in the orbyter cookiecutter. The manifoldai/orbyter-ml-dev:3.5 image will direct to this hotfix.

orbyter-ml-dev-3.5: Dask labextension

This release upgrades several packages in the orbyter-ml-dev image, and also adds:

• dask-labextension for monitoring Dask clusters in Jupyterlab
• dask-cloudprovider for deploying Dask clusters on AWS, Azure, etc.
• aquirdturtle-collapsible-headings for Jupyter notebook-style collapsible markdown headings