Open Source Software - Developer Documentation
Skip to content

Open Source Software

ReadMe Features of Predictive Learning / PrL Essentials Environments provided in the Analytics Workspace expose installed libraries through the Apache notebooks and Jupyter Notebook developer tools. Predictive Learning continues to support Python 2 libraries to keep the old notebooks running, but we strongly encourage users to upgrade their scripts to Python 3. With upgraded scripts, when Python 3 environments start up, they come with a minimal set of libraries, while users can continue to install their required libraries.

For Python 2 environments and, in accordance with to the GNU Lesser General Public License, this table displays the available libraries. The open source resources code is available via the links.

Library Name Version Source Code
awscli 1.18.14 https://github.com/boto/botocore/archive/1.18.14.zip
boto 2.49.0 https://github.com/boto/botocore/archive/2.49.0.zip
docutils 0.15.2 https://files.pythonhosted.org/packages/93/22/953e071b589b0b1fee420ab06a0d15e5aa0c7470eb9966d60393ce58ad61/docutils-0.15.2.tar.gz
scikit-image 0.13.1 https://github.com/scikit-image/scikit-image/archive/v0.13.1.zip
scikit-learn 0.19.1 https://github.com/scikit-learn/scikit-learn/archive/0.19.1.zip
python35-sagemaker-pyspark 1.2.1 https://files.pythonhosted.org/packages/92/2e/15b791086089e62c81b6176b0649a40b12ed1edfce02c9f8d65d6c7fee5b/sagemaker_pyspark-1.2.1.tar.gz
PyYAML 5.3.1 https://files.pythonhosted.org/packages/61/5e/0386f8d74ce6e0a183b93a7e02d32b2629c0a2c8e9db806a3f5eebbfa221/PyYAML-5.3.1-cp36-cp36m-win_amd64.whl
requests 2.24.0 https://files.pythonhosted.org/packages/da/67/672b422d9daf07365259958912ba533a0ecab839d4084c487a5fe9a5405f/requests-2.24.0.tar.gz

Except where otherwise noted, content on this site is licensed under the Development License Agreement.


Last update: April 13, 2023