{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/19"},{"label":"Physics","url":"https://skillfed.io/packages/category/scientific-engineering-physics"},{"label":"Chemistry","url":"https://skillfed.io/packages/category/scientific-engineering-chemistry"}],"enrichment":{"capability":"Custodian is a just-in-time job management framework that wraps long-running tasks with error checking, recovery logic, and automatic restart capabilities for high-throughput computational workloads.","skillfed_tags":["job-management","error-recovery","computational-chemistry"],"use_cases":["Manage VASP or QChem calculations that may fail due to convergence or IO errors, automatically restarting with adjusted parameters.","Wrap multi-day computational simulations to gracefully handle transient system errors and resume from checkpoints.","Orchestrate high-throughput materials discovery or molecular dynamics campaigns where thousands of jobs run in parallel.","Build custom error recovery workflows for scientific codes by implementing domain-specific error handlers via the plugin framework.","Monitor and manage long-running batch jobs on HPC clusters with automatic failure detection and recovery."],"what_it_does":"Custodian is a Python framework designed to manage long-running computational jobs that may fail due to transient errors. It wraps job execution with pluggable error handlers that can detect failures, apply recovery strategies, and restart jobs with modified parameters\u2014critical for high-throughput projects where even a 1% error rate becomes unmanageable at scale. The framework is particularly valuable for scientific computing workflows where individual jobs may run for days and occasional IO or system errors are inevitable.\n\nThe package comes with built-in error handlers and job management tools for Vienna Ab Initio Simulation Package (VASP), NwChem, QChem, FEFF, Lobster, and CP2K calculations, though the core framework is application-agnostic. It depends on monty, psutil, and ruamel.yaml for utilities, process monitoring, and YAML configuration handling. The plugin architecture allows developers to extend custodian for domain-specific workflows without modifying the core library.","worth_installing":"Yes. Custodian is a mature, actively maintained framework (production-stable, last commit August 2026) with low install friction and no known vulnerabilities. It directly solves a real problem in computational science\u2014graceful error recovery for long-running jobs\u2014and is particularly valuable if you work with VASP, QChem, or similar scientific codes. The MIT license places no restrictions on use. Install if you need robust job management for high-throughput or long-duration computational workloads."},"id":"custodian","links":{"html":"https://skillfed.io/packages/custodian","md":"https://skillfed.io/packages/custodian.md","pypi":"https://pypi.org/project/custodian/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-12-14","license_spdx":null,"license_treatment":"permissive","name":"custodian","python_support":"supports_current","summary":"A simple JIT job management framework in Python."},"popularity":{"monthly_downloads":123282,"position":11916,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2025.12.14"}