total-perspective-vortex
A library for routing entities (jobs, users or groups) to destinations in Galaxy
Decision gist · record as of 2026-08-14
Yes, if you operate a Galaxy instance and need flexible job routing. TPV is actively maintained, has no known vulnerabilities, uses a permissive license, and low install friction. It's designed to integrate seamlessly into Galaxy and the shared rule database significantly reduces configuration effort. Install it if Galaxy's static job configuration is limiting your deployment; skip it if you run a minimal single-machine Galaxy.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.10 and a Galaxy instance configured to use TPV for job routing; standalone testing may require additional Galaxy dependencies.
- Low install friction with a pure-Python wheel.
- Active maintenance with a recent commit (2026-08-14) and no known vulnerabilities.
License · maintenance · safety
MIT (permissive) — MIT license is permissive—you can use, modify, and distribute TPV with minimal restrictions, making it suitable for both open-source and commercial Galaxy deployments.
last release 2026-04-13 (123 days) · last repo commit 2026-08-14 · 17 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 90,334 downloads/mo, #13,597 on PyPI
Alternatives
Verify before relying
pip install total-perspective-vortex
from total_perspective_vortex import TPVRouter
router = TPVRouter(config_file='tpv_config.yaml')
destination = router.route_job(tool_id='bwa', user='alice')- Whether TPV requires a running Galaxy instance to function or can be tested in isolation
- Performance characteristics when routing large numbers of concurrent jobs
- Whether the shared default resource database is automatically fetched or requires manual configuration
What it is and what it does
Total Perspective Vortex is a routing engine for Galaxy, the bioinformatics workflow platform. It reads YAML configuration files that define rules for directing computational jobs, users, and roles to specific execution destinations (local queues, HPC clusters, cloud providers, etc.). TPV integrates directly into Galaxy and is typically installed automatically as part of Galaxy's environment, though it can also be installed standalone via pip.
The package solves the problem of dynamic workload distribution in Galaxy: instead of static job configuration, TPV lets administrators write declarative rules that match job characteristics (tool name, user, resource requirements) to appropriate destinations. It depends on pydantic for configuration validation, ruamel.yaml for YAML parsing, requests for HTTP operations, jinja2 for templating, and watchdog for file monitoring—all standard Python libraries. The project maintains a companion shared database of pre-built routing rules to accelerate typical deployments.
Use it for
- Route long-running bioinformatics tools to a dedicated HPC cluster while keeping quick jobs on local resources
- Enforce per-user or per-group memory and CPU limits by writing YAML rules that match user metadata
- Automatically scale job destinations based on tool resource requirements without editing Galaxy config files
- Implement priority-based job queuing where certain user roles get preferential scheduling
- Migrate existing static Galaxy job configuration to dynamic rules without downtime
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you operate a Galaxy instance and need flexible job routing.
TPV is actively maintained, has no known vulnerabilities, uses a permissive license, and low install friction. It's designed to integrate seamlessly into Galaxy and the shared rule database significantly reduces configuration effort. Install it if Galaxy's static job configuration is limiting your deployment; skip it if you run a minimal single-machine Galaxy.
Install
total-perspective-vortex on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance with a recent commit (2026-08-14) and no known vulnerabilities. Nine runtime dependencies including pydantic, requests, and ruamel.yaml are all standard ecosystem packages.
Requires Python >=3.10 and a Galaxy instance configured to use TPV for job routing; standalone testing may require additional Galaxy dependencies.
License in practice
MIT license is permissive—you can use, modify, and distribute TPV with minimal restrictions, making it suitable for both open-source and commercial Galaxy deployments.
Quickstart
pip install total-perspective-vortex
from total_perspective_vortex import TPVRouter
router = TPVRouter(config_file='tpv_config.yaml')
destination = router.route_job(tool_id='bwa', user='alice')Verify before relying
- Whether TPV requires a running Galaxy instance to function or can be tested in isolation
- Performance characteristics when routing large numbers of concurrent jobs
- Whether the shared default resource database is automatically fetched or requires manual configuration
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 9 packagespydanticcachetoolstypes-cachetoolswatchdogrequestsruamel.yamlmypyjinja2types-requests |
| Maintenance | Actively maintained 123 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 90,334 / month, #13,597 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: total_perspective_vortex-3.2.1-py3-none-any.whl
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