Consist v0.1.0

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Authors: Zachary A. Needell
Cited by: 0

Abstract

A Python library for provenance tracking, intelligent caching, and data virtualization in scientific simulation workflows. It automatically records code, configuration, and input data to skip redundant computations and enables querying results across many runs without manual bookkeeping. Designed to support multi-model simulation workflows like the BEAM CORE toolset at LBL, but designed to be extensible to a wide range of research workflows. Combines lineage tracking features as provided by OpenLineage with deterministic hashing like SnakeMake, and adds powerful analysis tools on model outputs.

Fields of Study & Subjects

Scientific Computing and Data Management Distributed and Parallel Computing Systems Research Data Management Practices

Publication details

Journal / source
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
Publication date
1 January 2026
Language
EN