Entropy Data CLI

June 10, 2026 · View on GitHub

CI PyPI Python

The entropy-data CLI lets you manage your Entropy Data platform from the command line.

You can manage data products, data contracts, access agreements, teams, source systems, definitions, certifications, and more — directly from your terminal or CI/CD pipeline.

Install

Requires Python >= 3.11.

uv tool install entropy-data
entropy-data --help

Or with pip:

pip install entropy-data
entropy-data --help

Docker

docker run --rm entropy-data/cli --help

Getting Started

1. Configure a connection

Generate an API key in the Entropy Data UI under organization settings, then:

entropy-data connection add prod
# prompts for API key and host

2. Explore your data platform

# List teams
entropy-data teams list

# Get a specific data product
entropy-data dataproducts get my-data-product

# List data contracts as JSON
entropy-data datacontracts list --output json

3. Manage resources

# Create or update a team from a YAML file
entropy-data teams put marketing --file team.yaml

# Approve an access agreement
entropy-data access approve 640864de-83d4-4619-afba-ccea8037ed3a

# Search across all resources
entropy-data search query "customer orders"

Commands

entropy-data [--version] [--connection NAME] [--output table|json|yaml] [--debug]

  connection      list | get | add | remove | set-default | test
  dataproducts    list | get | put | delete | import-from-git | gitconnection ...
  datacontracts   list | get | put | test | delete | yaml | generate | import-from-git | gitconnection ...
  access          list | get | put | delete | approve | reject | cancel | request
  teams           list | get | put | delete | git-credentials ... | notifications ...
  sourcesystems   list | get | put | delete
  definitions     list | get | put | delete
  certifications  list | get | put | delete
  policies        list | get | put | delete
  example-data    list | get | put | delete
  test-results    list | get | publish | delete
  costs           list | add | delete
  assets          list | get | put | delete | tags ...
  tags            list | get | put | delete
  api-keys        create | delete
  connectors      list | get | put | delete
  integrations    list | get | configuration | runs | runs-get | run | cancel
  organization    get | members ... | git-credentials ... | custom-team-roles ...
  settings        get-customization | put-customization | get-scim-mapping | put-scim-mapping
  events          poll
  lineage         list | submit | delete
  search          query
  semantics       namespaces ... | concepts ... | relationships ... | search
  usage           list | submit | delete
  import          zip

Connection Management

Connections are stored in ~/.entropy-data/config.toml:

default_connection_name = "prod"

[connections.prod]
api_key = "ed_abc123..."
host = "https://api.entropy-data.com"

[connections.dev]
api_key = "ed_xyz789..."
host = "https://localhost:8080"

You can also use environment variables (ENTROPY_DATA_API_KEY, ENTROPY_DATA_HOST) or CLI options (--api-key, --host).

.env File Support

The CLI automatically loads a .env file from the current working directory. This is useful for project-specific configuration:

# .env
ENTROPY_DATA_API_KEY=ed_abc123...
ENTROPY_DATA_HOST=https://api.entropy-data.com

Values from .env are loaded as environment variables and do not override already-set environment variables.

Resolution precedence: CLI options > environment variables / .env > config file.

Development

git clone https://github.com/entropy-data/entropy-data-cli
cd entropy-data-cli
uv sync --dev
uv run pytest
uv run ruff check .

Release

  1. Update the version in pyproject.toml
  2. Update CHANGELOG.md with a ## [X.Y.Z] section
  3. Commit, tag, and push:
git add pyproject.toml CHANGELOG.md
git commit -m "Bump version to X.Y.Z"
git tag vX.Y.Z
git push origin main --tags

The release workflow will automatically run tests, publish to PyPI, create a GitHub Release, and push a Docker image to Docker Hub.