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  • Tonic Fabricate User Guide
  • Fabricate workflow
  • Tutorial videos
  • Fabricate account
    • Getting started with Fabricate
    • Fabricate license plans
    • Managing your Fabricate account and profile
    • Managing users in your account
  • Databases
    • Supported database types
    • Creating and managing databases
  • Backing up and restoring the database definition
  • Configuring database variables
  • Exporting data from a database
  • Tables and columns
    • Managing database tables
      • Configuring table settings
      • Adding a table to a database
      • Removing a table from a database
      • Attaching static data to a table
      • Regenerating table data
  • Managing table columns
    • Adding and removing columns
    • Configuring a column
    • Generator reference
      • Calculated or related values
      • Data type and specific values
      • Names and other identifying information
      • Telephone numbers and email addresses
      • Geographic locations
      • Air travel
      • Natural science
      • Networks and files
      • Banking and finance
      • Dates and times
      • Vehicles
      • Companies and products
      • Healthcare and health insurance
      • Languages
      • Movies
      • Education
  • Views
    • Creating and managing views
    • Views reference
  • Workspaces
    • About workspaces
  • Creating and managing workspaces
  • Database mock API
    • About mock APIs
    • Defining a mock API
    • Creating and querying database snapshots
  • Mock API reference
  • Fabricate API and CLI
    • About the Fabricate API and CLI
    • Managing Fabricate API keys
    • Daily limits on generated data
    • Using the Fabricate API
      • Authentication for the API
      • Data model
      • Managing databases from the API
      • Generating data from the API
    • Using the Fabricate CLI
      • Setting up CLI access
      • Using the CLI to load data
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  1. Managing table columns

Generator reference

Last updated 8 days ago

Tonic Fabricate offers generators to create the following categories of column values.

Calculated or related values

Data type and specific values

Names and other identifying information

Telephone numbers and email addresses

Geographic locations

Air travel

Natural science

Networks and files

Banking and finance

Dates and times

Vehicles

Companies and products

Healthcare and health insurance

Languages

Movies

Education