{"categories":[{"label":"Distributed Computing","url":"https://skillfed.io/packages/category/system-distributed-computing/3"}],"enrichment":{"capability":"Rucio-clients provides command-line and programmatic access to Rucio, a distributed scientific data management framework that organizes, replicates, and retrieves large volumes of data across globally distributed storage systems.","skillfed_tags":["scientific-data","distributed-storage","high-energy-physics"],"use_cases":["Query and retrieve data files stored across multiple ATLAS or LHC experiment data centers from a single interface.","Replicate datasets to new storage locations with automatic policy-driven placement and recovery.","Organize petabyte-scale scientific datasets into scopes and datasets for collaborative research teams.","Automate bulk data transfers and lifecycle management across globally distributed storage systems.","Monitor and manage data availability and redundancy across heterogeneous storage technologies."],"what_it_does":"Rucio-clients is the client-side package for Rucio, a data management framework originally built for the ATLAS high-energy physics experiment but now used across multiple LHC experiments and scientific communities. It provides both command-line tools and Python APIs to interact with a Rucio server, allowing users to organize data into scopes and datasets, manage replicas across distributed storage systems, and retrieve files using customizable policies.\n\nThe package depends on common HTTP and utility libraries (requests, urllib3, click, tabulate, rich) to handle communication, formatting, and user interaction. It is designed for system administrators and data scientists who need to work with large volumes of scientific data spread across heterogeneous storage backends\u2014such as tape archives, cloud storage, and on-premise data centers\u2014as a single federated entity. The framework handles distributed data recovery and adaptive replication automatically according to configured policies.","worth_installing":"Yes, if you work with a Rucio-managed data infrastructure (ATLAS, LHC experiments, or other institutions running Rucio servers). The package is production-stable, actively maintained, has no known vulnerabilities, and provides the only official way to interact with Rucio from Python. Not relevant for general-purpose data management outside a Rucio deployment."},"id":"rucio-clients","links":{"html":"https://skillfed.io/packages/rucio-clients","md":"https://skillfed.io/packages/rucio-clients.md","pypi":"https://pypi.org/project/rucio-clients/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-30","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"rucio-clients","python_support":"supports_current","summary":"Rucio client package"},"popularity":{"monthly_downloads":118735,"position":12105,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"41.1.1"}