Abstract
We present noWork ow, an open-source tool that systematically and transparently collects provenance from Python scripts, including data about the script execution and how the script evolves over time. During the demo, we will show how noWork ow collects and manages provenance, as well as how it supports the analysis of computational experiments. We will also encourage attendees to use noWork ow for their own scripts.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1841-1844 |
| Number of pages | 4 |
| Journal | Proceedings of the VLDB Endowment |
| Volume | 10 |
| Issue number | 12 |
| DOIs | |
| State | Published - Aug 1 2017 |
| Event | 43rd International Conference on Very Large Data Bases, VLDB 2017 - Munich, Germany Duration: Aug 28 2017 → Sep 1 2017 |
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Computer Science(all)
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Pimentel, J. F., Murta, L., Braganholo, V., & Freire, J. (2017). noWorkflow: A tool for collecting, analyzing, and managing provenance from python scripts. Proceedings of the VLDB Endowment, 10(12), 1841-1844. https://doi.org/10.14778/3137765.3137789