The official Python Cloud Foundry buildpack has support for conda environments using the environment.yml file. This provides a lot of flexibility for Python (and other) dependencies and helps you to use packages from other public and private sources including your own locally built ones. Using other conda channels One thing this allows you to do is reference other channels such as conda-forge, and get packages from there instead of the standard Anaconda provided default channel.

This talk at the European Cloud Foundry Summit 2016 describes the work to include Conda as part of the official Python buildpack for Cloud Foundry. With this new buildpack you can install PyData packages like NumPy, SciPy and Scikit-Learn with ease in your Cloud Foundry applications. You can get started with my tutorial about Python on Cloud Foundry. https://speakerdeck.com/ihuston/snakes-in-a-buildpack-deploying-data-science-in-cloud-foundry