Keboola CLI (Command Line Interface), known also as “Keboola as Code”, is a set of commands for operating your cloud data pipeline. It is available to install in the Windows, macOS, and Linux environments.

The whole Keboola project is represented by a local directory structure. Component configurations are represented by JSON files.

Use Cases

Keboola CLI can be used, for example, to:

  • Pull your entire project to a local directory in seconds. See the init and pull commands.
  • Bulk edit component configurations in your IDE.
  • Compare the local version with the current project state. See the diff command.
  • Copy a configuration as a directory in the project and between projects. See the persist command.
  • Apply all changes back to the project in a moment. See the push command.
  • Manage project history in a git repository.
  • Automate the whole process in a CI/CD pipeline. See GitHub Integration.
  • Locally develop and test your dbt transformation code.


A brief overview of supported subsystems of the project.


Development Branches

  • A branch can be pulled and then edited or deleted locally.
  • Changes can be pushed back to the project.
  • There is one limitation, a branch cannot be created locally.
    • A branch must be created directly in the project, from the main branch.
    • See the Create Branch command.


At the moment, all Storage related operations are sub-commands of the kbc remote command. They operate directly on a project. This means that any changes you make using the CLI are immediately applied to your project. We have plans to add support for managing buckets and tables locally using definition files just like component configurations.


Buckets and tables

These commands can be used to manage the buckets and tables in your project:

The resulting tables will be empty, so you may want to use:

  • The table import command to import data.
  • The table unload command can be used to take data out of a table and store it in a file.

For convenience, you can use combined commands:

These commands may be a little heavy if you are dealing with a lot of data.

  • If you just want a quick sample, use the table preview command.

Next Steps