Installation
You can install the Datazone Python SDK using pip:Common Command Pattern
On the Datazone CLI, generally, the command pattern is as follows:Help
You can get help about the Datazone CLI commands by add--help flag to the command.
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
✨ Introducing Embedded Agents! Drop your Datazone agents into any website, app, or third-party tool with a single line of code. See Embedding Agents for details.
One of the interaction way with Datazone is using Command Line Interface. You can manage your projects, datasets, and models with Datazone CLI commands.
pip install datazone
datazone --version
datazone <entity> <action> [options]
--help flag to the command.
datazone --help
datazone project --help
datazone dataset list --help
profile## Create a new profile. It will ask you some questions to create a new profile.
datazone profile create
## List all profiles
datazone profile list
## Delete a profile
datazone profile delete <profile-name>
## Set default profile
datazone profile set-default <profile-name>
source## List all sources
datazone source list
## Create a new source. It will ask you some questions to create a new source.
datazone source create
## Delete a source
datazone source delete <source-id>
project## List all projects
datazone project list
## Create a new project
datazone project create <project-name>
## Clone a project
datazone project clone <project-id>
## Deploy a project
datazone project deploy [--commit-message <message>] [--file <file-path>]
## Pull the project
datazone project pull
## Show the summary of the project
datazone project summary
dataset## List all datasets
datazone dataset list
## Show sample data of a dataset
datazone dataset show <dataset-id>
## List all transactions of a dataset
datazone dataset transactions <dataset-id>
pipeline## Create a new pipeline
datazone pipeline create
extract## Create a new extract
datazone extract create
## List all extract
datazone extract list
## Delete an extract
datazone extract delete <extract-id>
## Run an execution for an extract
datazone extract execute <extract-id>
execution## List all executions
datazone execution list
## Show logs of an execution
datazone execution logs <execution-id>
## Run an execution
datazone execution run [--extract-id <extract-id>] [--pipeline-id <pipeline-id>]
auth## Test the authentication
datazone auth test
version## Show the version of the Datazone CLI
datazone version
info## Show the information of the current session
datazone info