A Reproducible Runtime Performance Benchmark Across Ruby, Go, Python, and Node.js (via Background Job Execution)

Reproducible multi-language benchmark harness comparing Ruby, Go, Python, and Node.js background job performance across varying workload sizes. Includes Docker Compose orchestration, all four worker implementations, generated CSV/SVG artifacts, and a machine-readable rerun acceptance policy. Artifact repository: https://github.com/a11ejandro/language-performance-benchmark-harness

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-13
DOI
https://doi.org/10.5281/zenodo.20675025
Primary Topic
Software System Performance and Reliability
Type
preprint
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preprint

A Reproducible Runtime Performance Benchmark Across Ruby, Go, Python, and Node.js (via Background Job Execution)

Ole Oelerich
Zenodo (CERN European Organization for Nuclear Research)
Software System Performance and Reliability
preprint

A Reproducible Runtime Performance Benchmark Across Ruby, Go, Python, and Node.js (via Background Job Execution)

Ole Oelerich
preprint en

Abstract

Reproducible multi-language benchmark harness comparing Ruby, Go, Python, and Node.js background job performance across varying workload sizes. Includes Docker Compose orchestration, all four worker implementations, generated CSV/SVG artifacts, and a machine-readable rerun acceptance policy. Artifact repository: https://github.com/a11ejandro/language-performance-benchmark-harness

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Software System Performance and Reliability
DOIOpen Access PDFOpenAlex
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A Reproducible Runtime Performance Benchmark Across Ruby, Go, Python, and Node.js (via Background Job Execution) — Ole Oelerich · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS