Consist v0.1.0
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