Skip to main content

This client library is designed to support the DataRobot API.

Project description

About datarobot_early_access

https://img.shields.io/pypi/v/datarobot_early_access.svg https://img.shields.io/pypi/pyversions/datarobot_early_access.svg https://img.shields.io/pypi/status/datarobot_early_access.svg

DataRobot is a client library for working with the DataRobot platform API. This package is the “early access” version of the client. Do NOT use this package in production–you will expose yourself to risk of breaking changes and bugs. For the most stable version, see the quarterly release on PyPI at https://pypi.org/project/datarobot/.

This package is released under the terms of the DataRobot Tool and Utility Agreement, which can be found on our Legal page, along with our privacy policy and more.

Installation

Python >= 3.7 are supported. You must have a datarobot account.

$ pip install datarobot_early_access

Usage

The library will look for a config file ~/.config/datarobot/drconfig.yaml by default. This is an example of what that config file should look like.

token: your_token
endpoint: https://app.datarobot.com/api/v2

Alternatively a global client can be set in the code.

import datarobot as dr
dr.Client(token='your_token', endpoint='https://app.datarobot.com/api/v2')

Alternatively environment variables can be used.

export DATAROBOT_API_TOKEN='your_token'
export DATAROBOT_ENDPOINT='https://app.datarobot.com/api/v2'

Extra

datarobot_early_access has the following optional groups:

  • auth (requires Python 3.9+): Provides an abstraction to handle OAuth2 authentication with DataRobot API (11.1+).

    This can be used in DataRobot Custom Applications and on its own.

  • auth-authlib (requires Python 3.9+): OAuth2 authentication handling via Authlib.

    This can be used in DataRobot Custom Applications and on its own.

  • core (requires Python 3.8+): Platform library functions to improve building with DataRobot.

    This can be used in DataRobot Custom Applications, Custom Models, and Agent Workflows.

  • fs (requires Python 3.9+): Provides file system implementation to work with the DataRobot file system.

You can install these optional groups by specifying them in the pip command, for example:

$ pip install datarobot_early_access[auth]

Bug Reporting and Q&A

To report issues or ask questions, send email to the team.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file datarobot_early_access-3.16.0.2026.5.11.174033.tar.gz.

File metadata

File hashes

Hashes for datarobot_early_access-3.16.0.2026.5.11.174033.tar.gz
Algorithm Hash digest
SHA256 233037818adb1637b4e6fbc81c0543e9c5e39efc0b2ee0d14fe2950f87528f35
MD5 c0124d69f7f42292628858be0a698a14
BLAKE2b-256 c341fd65bd884c74e00d3c2373e0c4a8feb6341056037a9d45a85e2f6667a80f

See more details on using hashes here.

File details

Details for the file datarobot_early_access-3.16.0.2026.5.11.174033-py3-none-any.whl.

File metadata

File hashes

Hashes for datarobot_early_access-3.16.0.2026.5.11.174033-py3-none-any.whl
Algorithm Hash digest
SHA256 6ce717d331d58c89cffff916b5e6b26522f49f488b3a1d9ef6e4ef575dffe7d4
MD5 309afb2b1bb76f7211575ba9106e740b
BLAKE2b-256 7500b5e8b85a0d81a00aae2c7711d711155001394554d444a04d684194a19837

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page