Anaconda Notebooks
A Jupyter or JupyterLab Notebook that has been created in Anaconda Enterprise with additional functionality. It includes a web interface for creating and editing commands and for managing the project with Anaconda Project.
Anaconda Project
An encapsulation of your data science assets to make it easily portable. Anaconda Project automates setup, so you can easily share and execute projects. All Project setup can be done from the Enterprise web interface.
The locations of the repository where Anaconda Enterprise looks for packages.
A deployed Anaconda Project. When you deploy a project, Enterprise finds and builds all of the software dependencies–the programs on which the Project depends in order to run–and encapsulates them so they are completely self- contained. This allows you to easily share the application with others.
Interactive data applications
Visualizations with sliders, drop-downs and other widgets that allow users to interact with them. Interactive data applications can drive new computations, update plots and connect to other programmatic functionality.
Live notebooks
JupyterLab and the classic Jupyter Notebooks are web applications that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. See also Anaconda Notebook.
Software files and information about the software, such as its name, the specific version and a description, that are bundled into a file that can be installed and managed by a package manager.
Project templates
When creating a new project, you can select the version of Python 2 or 3, R or Spark from the project templates and have the Project up and running with just a few clicks.
A common way to operationalize machine learning models is through REST APIs. REST APIs are callable URLs which provide results based on a query. This allows developers to make their applications intelligent without having to write models themselves.