{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/5"}],"enrichment":{"capability":"Python SDK for integrating machine learning models with Arthur, a centralized platform for monitoring production models across accuracy, explainability, and fairness.","skillfed_tags":["ml-monitoring","model-observability","arthur-platform"],"use_cases":["Integrate a scikit-learn or neural network model into Arthur's monitoring dashboard to track real-time prediction accuracy and data drift.","Send model fairness metrics to Arthur for compliance auditing and bias detection across demographic groups.","Set up automated alerts when model performance degrades below defined thresholds in production.","Log prediction explanations and feature importance alongside predictions for model interpretability.","Centralize monitoring for multiple models deployed across different services or cloud providers."],"what_it_does":"Arthur-client is a Python SDK that connects your machine learning models to Arthur's centralized monitoring platform. It abstracts the HTTP API calls needed to send model metadata, predictions, and performance metrics to Arthur's infrastructure, enabling teams to track model accuracy, explainability, and fairness across production deployments without being locked into a specific ML framework or infrastructure provider.\n\nThe package depends on standard HTTP and configuration libraries (requests, urllib3, authlib, pydantic, click) to handle authentication, data validation, and CLI interactions. It's designed for data scientists and ML engineers who want to integrate monitoring into their model pipelines with minimal setup overhead\u2014typically just instantiating a client and calling methods to register models and log predictions.","worth_installing":"Yes, if you are already using or planning to adopt Arthur for model monitoring. The SDK is actively maintained, has low install friction, uses a permissive MIT license, and carries no known vulnerabilities. Install only if your team has committed to Arthur's platform; it is a client library for a specific service, not a general-purpose monitoring tool."},"id":"arthur-client","links":{"html":"https://skillfed.io/packages/arthur-client","md":"https://skillfed.io/packages/arthur-client.md","pypi":"https://pypi.org/project/arthur-client/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":null,"license_treatment":"permissive","name":"arthur-client","python_support":"supports_current","summary":"Arthur Python API Client Library"},"popularity":{"monthly_downloads":96465,"position":13209,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.4.2333"}