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Working with connected applications |
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You can extend {productname-long} capabilities by connecting to a wide range of open source and third-party applications, such as Starburst, Intel AI Tools, Anaconda, and IBM watsonx.ai.
You can also remove unused applications from your {productname-short} dashboard so that you can focus on the applications that you are most likely to use.
{productname-long} provides access to Jupyter as an enabled application for situations where, for example, you do not want users to have their own data science projects or you want to open a notebook that was developed outside of {productname-short} and has no dependencies on other environments.
Note that the preferred way to access Jupyter on {productname-short} is through a data science project, as described in Creating a workbench and selecting an IDE. The advantages to using an {productname-short} data science project and creating a workbench that includes Jupyter, is that your project organizes your data science work in one place and adds functionality such as data connections so that you can access data and save your models and pipelines for automating your ML workflow.