{"categories":[{"label":"Distributed Computing","url":"https://skillfed.io/packages/category/system-distributed-computing/3"}],"enrichment":{"capability":"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.","skillfed_tags":["galaxy-integration","job-scheduling","bioinformatics"],"use_cases":["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."],"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.\n\nThe 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.","worth_installing":"Yes\u2014if 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."},"id":"pulsar-galaxy-lib","links":{"html":"https://skillfed.io/packages/pulsar-galaxy-lib","md":"https://skillfed.io/packages/pulsar-galaxy-lib.md","pypi":"https://pypi.org/project/pulsar-galaxy-lib/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-13","license_spdx":null,"license_treatment":"permissive","name":"pulsar-galaxy-lib","python_support":"unspecified","summary":"Distributed job execution application built for Galaxy (http://galaxyproject.org/)."},"popularity":{"monthly_downloads":110516,"position":12455,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.15.15"}