The Variables section in WaveAssist allows you to manage key-value pairs and view workflow data directly from your dashboard. You can create, update, delete variables, and inspect associated data with ease.

View variables in your project

​

Managing Variables

Variables are reusable key-value pairs used across nodes and workflows. These values can be dynamically updated during execution or manually configured.

​

Key Features

• Create Variables: Add new variables with a unique key and select a data type.
• Edit Variables: Modify the value or type of an existing variable.
• Delete Variables: Remove variables that are no longer in use.

​

Supported Data Types

​

string

Use the string data type to store plain text or simple values. Example:

"This is a string value"

​

json

Structured data such as objects or arrays.

{
  "key": "value",
  "list": [1, 2, 3]
}

​

dataframe

Use the dataframe data type to store tabular data in CSV format. Supports structured data with rows and columns. Example:

id,name,value
1,item1,100
2,item2,200
3,item3,300

​

Viewing and Managing Variables

The Data Viewer allows you to inspect and manage the data used in your workflows. You can filter, view, and export data directly from the dashboard.

​

Key Features

• View Data: Inspect the data stored in your project.
• Filter Data: Apply filters to narrow down the data you want to view.
• Export Data: Download data for external use.

​

Managing DataFrames

For more complex data structures like DataFrames, we recommend using the WaveAssist Python SDK. The SDK provides a convenient interface to fetch, manipulate, and store DataFrames.

By combining the dashboard and the Python SDK, you can efficiently manage all your data needs in WaveAssist.