$npx skillfedfor your agent

ClusterShell

ClusterShell library and tools

Worth itPyPI Python ModulesReleased Jul 2026260.8K downloads / moLGPLv2+Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — clustershell-1.10.1-py3-none-any.whl
v1.10.1 · released 2026-07-16 · 1 runtime deps: PyYAML

Yes. ClusterShell is production-stable, actively maintained, carries no known vulnerabilities, and has minimal dependencies. Install it if you manage or script operations on Linux clusters or HPC systems and need parallel command execution with node group abstractions. The copyleft license is standard for system tools; verify compatibility with your deployment model if you plan to redistribute.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires SSH or other remote shell facilities already installed on target systems; designed for Linux/POSIX environments.
  • Low install friction with a single runtime dependency (PyYAML).
  • Actively maintained with a recent release; last commit was 2026-08-04 and the project has 473 stars.

License · maintenance · safety

LGPLv2+ (copyleft) — Licensed under LGPLv2+, a copyleft license. You may use and modify the package freely, but any derivative work must also be distributed under the same or compatible license terms.

last release 2026-07-16 (29 days) · last repo commit 2026-08-04 · 473 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 260,808 downloads/mo, #8,391 on PyPI

Verify before relying

pip install clustershell

from clustershell.task import Task
from clustershell.group import NodeSet

task = Task()
task.run_command('uname -r', nodes='node[1-10]')
  • Whether the package supports modern Python versions beyond what classifiers indicate (2.7 and 3.x are listed but no specific 3.x version floor is stated).
  • Performance characteristics and scalability limits for very large clusters.
Same gist for agents: .md · .json

What it is and what it does

ClusterShell is a production-stable Python framework for event-driven parallel command execution across server farms and HPC clusters. It abstracts away the complexity of coordinating distributed work by handling node grouping, optimized execution algorithms, result gathering, and output deduplication. The package includes three command-line tools: clush for issuing commands to cluster nodes with formatted output, clubak for aggregating and sorting distributed outputs, and nodeset for computing advanced node group operations (expansion, intersection, exclusion, etc.).

The framework is designed for system administrators managing large Linux clusters. It leverages existing remote shell infrastructure like SSH rather than requiring new deployment mechanisms. With a single runtime dependency (PyYAML) and low install friction, it integrates into existing cluster management workflows. The project is actively maintained, has been in use since 2010, and carries no known security vulnerabilities.

Use it for

  • Run a command across a range of cluster nodes and collect results in a compact, deduplicated format.
  • Compute node group operations like expanding ranges (node[1-10]) or finding intersections of node sets.
  • Gather and sort outputs from distributed shell commands using clubak, replacing or improving on dshbak.
  • Automate cluster administration tasks that require parallel execution across many nodes with SSH.
  • Build cluster management scripts that need to parse, filter, and manipulate node group specifications.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

ClusterShell is production-stable, actively maintained, carries no known vulnerabilities, and has minimal dependencies. Install it if you manage or script operations on Linux clusters or HPC systems and need parallel command execution with node group abstractions. The copyleft license is standard for system tools; verify compatibility with your deployment model if you plan to redistribute.

Install

clustershell on PyPI

Before you install

Low install friction with a single runtime dependency (PyYAML). Actively maintained with a recent release; last commit was 2026-08-04 and the project has 473 stars.

Requires SSH or other remote shell facilities already installed on target systems; designed for Linux/POSIX environments.

License in practice

Licensed under LGPLv2+, a copyleft license. You may use and modify the package freely, but any derivative work must also be distributed under the same or compatible license terms.

Quickstart

pip install clustershell

from clustershell.task import Task
from clustershell.group import NodeSet

task = Task()
task.run_command('uname -r', nodes='node[1-10]')

Verify before relying

  • Whether the package supports modern Python versions beyond what classifiers indicate (2.7 and 3.x are listed but no specific 3.x version floor is stated).
  • Performance characteristics and scalability limits for very large clusters.

Package facts

LicenseLGPLv2+ copyleft
Python supportNot specified
Install frictionLow. Pure-Python wheel
Runtime dependencies
1 package
PyYAML
MaintenanceActively maintained 29 days since the last release
Last repo commit
First released
Downloads260,808 / month, #8,391 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: System AdministratorsLicense :: OSI Approved :: GNU Lesser General Public License v2 or later (LGPLv2+)Operating System :: MacOS :: MacOS XOperating System :: POSIX :: BSDOperating System :: POSIX :: LinuxProgramming Language :: PythonProgramming Language :: Python :: 2.7Programming Language :: Python :: 3Topic :: Software Development :: Libraries :: Python ModulesTopic :: System :: ClusteringTopic :: System :: Distributed Computing

Evidence: clustershell-1.10.1-py3-none-any.whl

Tags

Capabilities
parallel command execution clustersdistributed task runner nodescluster node managementHPC command executionnodeset operationsclush parallel shellcluster result aggregation
Topics
cluster-managementparallel-executionhpc
PyPI keywords
clustershellclushclubaknodeset

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “parallel command execution clusters”

  • ClusterShellClusterShell is a Python framework for running commands in parallel…
  • ipyparallelManages clusters of IPython processes for parallel computing,…
  • coiledCoiled is a Python client library that provisions and manages Dask…

Give your agent the search over MCP, or paste the wish link into any chat.

More Python Modules packages

idna Worth it
PyPI · Python Modules · released Jun 2026

Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.

Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.

BSD-3-Clausepure Python · 3.9+
1.8Bdownloads / mo
setuptools Worth it
PyPI · Python Modules · released Aug 2026

Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.

MITpure Python · 3.10+
1.6Bdownloads / mo
PyYAML Worth it
PyPI · Python Modules · released Sep 2025

PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.

MITcompiled wheel · 3.8+
1.2Bdownloads / mo
pydantic Worth it
PyPI · Python Modules · released May 2026

Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.

MITpure Python · 3.9+
1.1Bdownloads / mo
annotated-types Worth it
PyPI · Python Modules · released Jul 2026

Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.

Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…

MITpure Python · 3.10+
871.3Mdownloads / mo
typing-inspection Worth it
PyPI · Python Modules · released Aug 2026

Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.

MITpure Python · 3.10+
783.0Mdownloads / mo

See also aws-parallelcluster · clusterscope · ipyparallel · distributed · openmpi · sfctl · slurm-usage · ppft · oneccl-devel · dask-jobqueue