Show HN: Seamless – Content-addressed computation caching for Python and bash

Category: devtools

Tags: computation-caching, reproducible-research, workflow-automation

Score: 7.3/10 (Innovation: 7, Technical: 7, Documentation: 8, Utility: 7)

Seamless is a content-addressed computation caching system for Python and bash that enables reproducible pipelines with automatic caching and remote execution. It's interesting because it combines deterministic caching with a portable SQLite result database, allowing researchers to share computation results without recomputation or data transfer.

Target audience: data engineers, backend devs, devops, researchers

Repository: https://github.com/sjdv1982/seamless · Shell · NOASSERTION · 20 stars

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