Research paper

pythainer: composable and reusable Docker builders and runners for reproducible research

Research from Open JournalsPublished by Journal of Open Source Software9 January 2026PDF

See how reusable Docker builders and runners support repeatable work without rebuilding an entire container workflow from scratch.

pythainer: composable and reusable Docker builders and runners for reproducible research cover

Resource access

Get the full resource

Enter your business details to read the full resource.

First nameLast nameWork emailCompanyJob titleCountry or region

Antonio Paolillo. pythainer: composable and reusable Docker builders and runners for reproducible research. Journal of Open Source Software. 10.21105/joss.09059. CC BY 4.0. Original PDF, unmodified.

CC BY 4.0

pythainer: composable and reusable Docker builders and runners for reproducible research

Related research.

MooBench: A micro-benchmark for performance overhead measurement of observability tools

Consist: Provenance-Aware Caching and Queryable Provenance for Scientific Workflows

Executorlib – Up-scaling Python workflows for hierarchical heterogenous high-performance computing