---
id: pulsar-galaxy-lib
version: "0.15.15"
license: Apache License 2.0
license_treatment: permissive
maintenance: active
---

# pulsar-galaxy-lib — Distributed job execution application built for Galaxy (http://galaxyproject.org/).

License: permissive · Maintenance: active · Downloads: 110.5K/mo

## What it is and what it does

Pulsar Galaxy Lib is a job runner for the Galaxy bioinformatics platform that eliminates the need for shared mounted file systems between Galaxy and remote compute nodes. Instead of requiring NFS or similar infrastructure, it transfers input files, scripts, and configuration to the remote system, executes the job, and transfers results back to Galaxy. This allows Galaxy to delegate work to Windows systems, Linux clusters, cloud platforms, and other remote environments without complex storage setup.

The package is a production-grade component of the Galaxy ecosystem, actively maintained and supporting modern Python versions. It integrates with Galaxy's job configuration system and can work with various compute backends including SLURM, Condor, GCP Batch, and others. Installation is straightforward via pip, and configuration happens through Galaxy's standard job_conf.xml file.

Use it for:

- Run Galaxy jobs on Windows compute nodes where NFS mounting is impractical or impossible.
- Delegate bioinformatics workflows to remote HPC clusters without setting up shared filesystems.
- Execute Galaxy jobs on cloud platforms (GCP Batch, etc.) with automatic file staging and retrieval.
- Isolate Galaxy compute resources across multiple remote systems with independent job execution environments.
- Enable Galaxy deployments where network storage is unavailable or too expensive for the workload.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Pulsar Galaxy Lib is a Python server that enables Galaxy to run jobs on remote systems without requiring shared file systems, handling file transfer, job execution, and result retrieval automatically.

Yes—if you are running Galaxy and need to execute jobs on remote systems without shared filesystems. The package is actively maintained, has no known vulnerabilities, uses permissive licensing, and integrates directly into Galaxy's standard job configuration. Install friction is low. It is not useful outside a Galaxy deployment context.

## Install

pip install pulsar-galaxy-lib
uv add pulsar-galaxy-lib
poetry add pulsar-galaxy-lib

## Installing pulsar-galaxy-lib

Before you install: Low install friction with a pure Python wheel. The package is actively maintained with a recent release (32 days old) and supports modern Python versions through 3.14. Eleven runtime dependencies are well-established libraries (webob, psutil, pyyaml, paramiko, requests, pyjwt, google-cloud-batch, and others).

License in practice: Licensed under Apache License 2.0, a permissive license allowing commercial and private use with minimal restrictions—suitable for most deployment scenarios.

Quickstart:

pip install 'pulsar-galaxy-lib'

from pulsar_galaxy_lib import PulsarApp
app = PulsarApp()

Requires Galaxy server configuration in job_conf.xml to integrate; not a standalone tool but a Galaxy job runner component.

Verify before relying:

- Whether pydantic-tes is a typo or an actual dependency (not a standard package name).
- Exact minimum Python version supported (description says 3.5, but classifiers list 3.7 as lowest).
- Whether all 11 runtime dependencies are required for basic operation or if some are optional for specific features.

## Package facts

- License: Apache License 2.0 (permissive)
- Python support: unspecified
- Install friction: low
- Maintenance: active
- Downloads: 110.5K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

galaxy job runner remote execution, distributed job execution galaxy, remote file transfer job runner, galaxy without shared filesystem, cross-platform job execution, galaxy compute resource management, remote system job staging, galaxy-integration, job-scheduling, bioinformatics

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