5 projects
yprov4dv
yProv4DV (Data Visualization) is a python utility which allows for packaging of code, inputs and outputs of data visualization scripts. Once integrated, it will produce a zip file which includes all information necessary for reproducibility of the current script, including a copy of the files used.
y2graph
y2Graph (yaml to graph) is a simple Python tool to build W3C-PROV provenance graphs from workflow descriptions written in YAML. It uses the prov library to create entities, activities, and their relationships, and can export the results to PROV-JSON and a graph visualization (PNG).
yprov-mlflow-plugin
MLflow plugin that adds W3C PROV provenance tracking to every experiment via yProv4ML
yprov4ml
Part of the yProv suite, and provides a unified interface for logging and tracking provenance information in machine learning experiments, both on distributed as well as large scale experiments.
prov2ld
A lightweight Python script to convert PROV-JSON documents to PROV-JSONLD format according to the W3C PROV-JSONLD specification.
