pulsar-galaxy-lib
Distributed job execution application built for Galaxy (http://galaxyproject.org/).
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Galaxy server configuration in job_conf.xml to integrate; not a standalone tool but a Galaxy job runner component.
- 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.
License · maintenance · safety
Apache License 2.0 (permissive) — Licensed under Apache License 2.0, a permissive license allowing commercial and private use with minimal restrictions—suitable for most deployment scenarios.
last release 2026-07-13 (32 days) · last repo commit 2026-08-14 · 45 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 110,516 downloads/mo, #12,455 on PyPI
Alternatives
Verify before relying
pip install 'pulsar-galaxy-lib'
from pulsar_galaxy_lib import PulsarApp
app = PulsarApp()- 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.
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 on this page. Verify before relying on it.
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
pulsar-galaxy-lib on PyPI
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).
Requires Galaxy server configuration in job_conf.xml to integrate; not a standalone tool but a Galaxy job runner component.
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()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 | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 11 packageswebobpsutilpyyamlparamikotyping-extensionspydantic-tespyjwtpulsar-relay-clientrequeststuspygoogle-cloud-batch |
| Maintenance | Actively maintained 32 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 110,516 / month, #12,455 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/StableEnvironment :: ConsoleIntended Audience :: DevelopersNatural Language :: EnglishOperating System :: Microsoft :: WindowsOperating System :: POSIXProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: pulsar_galaxy_lib-0.15.15-py3-none-any.whl
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See also bioblend · gravity · total-perspective-vortex · galaxy-release-util · lalsuite · gxformat2 · torchx · clearml-agent · jobflow