datarobot
This client library is designed to support the DataRobot API.
Decision gist · record as of 2026-08-14
Yes, if you have a DataRobot account and need to automate model workflows or integrate DataRobot into Python applications. The package is actively maintained, has low install friction, and covers a mature use case. The proprietary license requires review before use in redistributed or open-source contexts. No known security vulnerabilities.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a DataRobot account with valid API token and endpoint URL; alternatively, configure ~/.config/datarobot/drconfig.yaml or set DATAROBOT_API_TOKEN and DATAROBOT_ENDPOINT environment variables.
- Low friction installation with a pure-wheel distribution and 11 standard dependencies.
- Actively maintained with a release 17 days ago.
License · maintenance · safety
(unclear) — Licensed under the DataRobot Tool and Utility Agreement, which is a proprietary license not mapped to a standard SPDX identifier. Review the license terms on DataRobot's legal page before use in commercial or redistributed contexts.
last release 2026-07-28 (17 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 534,573 downloads/mo, #6,133 on PyPI
Alternatives
Verify before relying
pip install datarobot
import datarobot as dr
dr.Client(token='your_token', endpoint='https://app.datarobot.com/api/v2')- Whether the proprietary DataRobot Tool and Utility Agreement permits use in open-source projects or redistribution.
- Which optional feature groups (auth, fs, query-engine) are most commonly used and their stability.
- Performance characteristics and rate limits when working with large datasets or many concurrent requests.
What it is and what it does
DataRobot is a Python client for the DataRobot automated machine learning platform. It wraps the DataRobot API to allow programmatic access to model training, evaluation, deployment, and management features. The library depends on standard data-science and HTTP libraries (pandas, numpy, requests, pyyaml, and others) to handle data serialization, API communication, and configuration.
Typical usage involves authenticating with API credentials (via config file, environment variables, or inline client setup), then calling methods to create projects, train models, retrieve predictions, and manage deployments. The package supports Python 3.7 and later, and offers optional feature groups for OAuth2 authentication, file system access, and query engine functionality that require Python 3.8 or 3.9+.
Use it for
- Automate model training and evaluation workflows by programmatically submitting datasets and configuring AutoML jobs.
- Deploy trained models to production and retrieve predictions via API without manual platform interaction.
- Integrate DataRobot model management into CI/CD pipelines or data engineering workflows.
- Build custom applications on top of DataRobot using the optional core library functions.
- Query DataRobot data stores and JDBC connections using SQLAlchemy-compatible syntax via the query-engine extra.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you have a DataRobot account and need to automate model workflows or integrate DataRobot into Python applications.
The package is actively maintained, has low install friction, and covers a mature use case. The proprietary license requires review before use in redistributed or open-source contexts. No known security vulnerabilities.
Install
datarobot on PyPI
Before you install
Low friction installation with a pure-wheel distribution and 11 standard dependencies. Actively maintained with a release 17 days ago. Requires a DataRobot account and API credentials to function.
Requires a DataRobot account with valid API token and endpoint URL; alternatively, configure ~/.config/datarobot/drconfig.yaml or set DATAROBOT_API_TOKEN and DATAROBOT_ENDPOINT environment variables.
License in practice
Licensed under the DataRobot Tool and Utility Agreement, which is a proprietary license not mapped to a standard SPDX identifier. Review the license terms on DataRobot's legal page before use in commercial or redistributed contexts.
Quickstart
pip install datarobot
import datarobot as dr
dr.Client(token='your_token', endpoint='https://app.datarobot.com/api/v2')Verify before relying
- Whether the proprietary DataRobot Tool and Utility Agreement permits use in open-source projects or redistribution.
- Which optional feature groups (auth, fs, query-engine) are most commonly used and their stability.
- Performance characteristics and rate limits when working with large datasets or many concurrent requests.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 11 packagespandasnumpypyyamlrequestsrequests_toolbelttrafareturllib3typing-extensionsstrenumpytzpython-dateutil |
| Maintenance | Actively maintained 17 days since the last release |
| First released | |
| Downloads | 534,573 / month, #6,133 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/Engineering :: Artificial Intelligence |
Evidence: datarobot-3.18.0-py3-none-any.whl
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