rucio-clients
Rucio client package
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; Rucio server infrastructure must be accessible for the client to connect to.
- Low friction install with a pure-Python wheel and stable maintenance.
- Last release was 15 days ago, repository is active with recent commits, and the package has been in production since 2016.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows use in most commercial and open-source projects without significant restrictions.
last release 2026-07-30 (15 days) · last repo commit 2026-08-07 · 307 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 118,735 downloads/mo, #12,105 on PyPI
Alternatives
Verify before relying
pip install rucio-clients
from rucio.client.client import Client
client = Client()
replicas = client.list_replicas(dids=[{'scope': 'scope', 'name': 'file.txt'}])- Whether the package works offline or requires continuous server connectivity.
- Performance characteristics when managing very large numbers of files or replicas.
- Specific authentication mechanisms supported beyond what the client library provides.
What it is and 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.
The 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—such as tape archives, cloud storage, and on-premise data centers—as a single federated entity. The framework handles distributed data recovery and adaptive replication automatically according to configured policies.
Use it for
- 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.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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.
Install
rucio-clients on PyPI
Before you install
Low friction install with a pure-Python wheel and stable maintenance. Last release was 15 days ago, repository is active with recent commits, and the package has been in production since 2016. Supports current Python versions (3.9+).
Requires Python 3.9 or later; Rucio server infrastructure must be accessible for the client to connect to.
License in practice
Apache-2.0 permissive license allows use in most commercial and open-source projects without significant restrictions.
Quickstart
pip install rucio-clients
from rucio.client.client import Client
client = Client()
replicas = client.list_replicas(dids=[{'scope': 'scope', 'name': 'file.txt'}])Verify before relying
- Whether the package works offline or requires continuous server connectivity.
- Performance characteristics when managing very large numbers of files or replicas.
- Specific authentication mechanisms supported beyond what the client library provides.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 9 packagesclickrequestsurllib3dogpile-cachepackagingtabulatejsonschemarichtyping_extensions |
| Maintenance | Actively maintained 15 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 118,735 / month, #12,105 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 :: Information TechnologyIntended Audience :: System AdministratorsNatural Language :: EnglishOperating System :: POSIX :: LinuxProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.9 |
Evidence: rucio_clients-41.1.1-py3-none-any.whl
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