Registry / ai-ml / datarobot-mlops

datarobot-mlops

library11.2.31pypypiunverified

Python SDK for DataRobot MLOps to read and report model monitoring statistics (accuracy, drift, data quality) to DataRobot's MLOps platform. Current version 11.1.28, requires Python >=3.9. Released as part of DataRobot's MLOps cloud or on-premise deployment with frequent minor releases.

ai-ml observability devops

pip install datarobot-mlops

package ↗homepage ↗docs ↗

INSTALL

IMPORT

SIG · DATAROBOT-MLOPS

datarobot-mlops

ai-mlpythonv11.2.31

Install

8.3s avg

Import

—

Disk

169MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v11.2.31 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.000s · 168.8MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 8.3s · import 0.000s · 162MB

169MB installed

● package 169MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

MLOpsReporting

✓ from datarobot_mlops import MLOpsReporting

✗ from datarobot_mlops import MLOpsReporting

Basic usage to report model predictions and execution time to a DataRobot MLOps deployment.

import os from datarobot_mlops import MLOpsReporting # Initialize with API credentials from environment mlops_report = MLOpsReporting( server_url=os.environ.get('DATAROBOT_API_ENDPOINT', ''), api_token=os.environ.get('DATAROBOT_API_TOKEN', '') ) # Report deployment stats mlops_report.report_deployment_stats( deployment_id='your-deployment-id', predictions=100, execution_time=0.5, model_id='your-model-id' ) print("Stats reported successfully.")

Debug

Known issues

breakingIn version 11.x, MLOpsReporting no longer accepts 'application_key' argument; use 'api_token' instead.

fix

Replace 'application_key' with 'api_token' in constructor.

affects: >=11.0.0

deprecatedThe method 'report_binary_classification_stats' is deprecated in 10.x+ and removed in 11.x.

fix

Use 'report_classification_stats' with 'class_names' parameter instead.

affects: >=10.0.0

gotchaThe SDK uses blocking HTTP calls. In production, run reporting in a separate thread or async task to avoid blocking model inference.

fix

Wrap report calls with threading or use an async HTTP client if available (not natively supported).

affects: all

gotchaDeployment ID must be a string; integer or UUID object will raise AttributeError.

fix

Always pass deployment_id as str(deployment_id).

affects: all

Upgrade

Version history

11.2.31latest on PyPI · released Jun 11, 2026

Audit

Dependencies

pandasrequiredRequired for data handling in reporting functions

Agent activity

14 hits · last 30 days

node

OpenAI (training)

Resources

packagehttps://pypi.org/project/datarobot-mlops/ ↗

homepagehttp://datarobot.com ↗

docshttps://docs.datarobot.com/en/docs/mlops/deployment/mlops-agent/spooler.html#mlops-library-configuration ↗