{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/10"}],"enrichment":{"capability":"DRUM is a command-line tool for developing, testing, and deploying custom machine learning models written in Python, R, or Java before uploading them to DataRobot's platform.","skillfed_tags":["model-testing","datarobot-integration","batch-scoring"],"use_cases":["Validate a custom Python, R, or Java model locally before uploading to DataRobot for production deployment","Measure model latency, throughput, and memory consumption under realistic batch-scoring workloads","Test model behavior on edge cases and missing values to ensure it meets DataRobot's validation requirements","Run batch predictions on CSV files locally for development and debugging without deploying to the cloud","Generate model code templates and scaffolding for new custom models in Python, R, or Java"],"what_it_does":"DRUM is a local development and testing tool for custom machine learning models that bridges the gap between model development and DataRobot deployment. It allows you to verify that Python, R, or Java models run correctly and make predictions before uploading them to DataRobot's platform. The tool operates in multiple modes: batch scoring for making predictions on CSV data, performance testing to measure latency and memory usage, and validation checks to test model robustness on edge cases like null values.\n\nThe package includes a prediction server mode for real-time inference, support for runtime parameters (credentials, URLs) loaded from YAML files, and Docker integration for containerized testing. It depends on a large ecosystem of standard data science and web libraries (numpy, pandas, flask, docker, gunicorn) plus DataRobot's own client and MLOps packages, making it tightly integrated with the DataRobot ecosystem. DRUM is designed for Linux and macOS; Windows users must use WSL.","worth_installing":"Yes\u2014install if you develop custom models for DataRobot. DRUM is actively maintained, has no known vulnerabilities, uses a permissive license, and supports current Python versions. The substantial dependency footprint is justified by its role as a full-featured model testing and serving tool. Not worth installing if you don't use DataRobot or need a general-purpose model server unrelated to DataRobot deployment."},"id":"datarobot-drum","links":{"html":"https://skillfed.io/packages/datarobot-drum","md":"https://skillfed.io/packages/datarobot-drum.md","pypi":"https://pypi.org/project/datarobot-drum/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-04","license_spdx":null,"license_treatment":"permissive","name":"datarobot-drum","python_support":"supports_current","summary":"DRUM - develop, test and deploy custom models"},"popularity":{"monthly_downloads":97069,"position":13171,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.17.18"}