noWorkflow: A tool for collecting, analyzing, and managing provenance from python scripts

João Felipe Pimentel; Leonardo Murta; Vanessa Braganholo; Juliana Freire

doi:10.14778/3137765.3137789

noWorkflow: A tool for collecting, analyzing, and managing provenance from python scripts

João Felipe Pimentel, Leonardo Murta, Vanessa Braganholo, Juliana Freire

Urban Initiative

Research output: Contribution to journal › Conference article › peer-review

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	https://doi.org/10.14778/3137765.3137789
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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10.14778/3137765.3137789

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title = "noWorkflow: A tool for collecting, analyzing, and managing provenance from python scripts",

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. ",

author = "Pimentel, {Jo{\~a}o Felipe} and Leonardo Murta and Vanessa Braganholo and Juliana Freire",

note = "Funding Information: We would like to thank CNPq, FAPERJ and the Moore-Sloan Data Science Environment for their financial support for this project. Juliana Freire is supported by the DARPA Memex and D3M programs, and NSF awards ACI-1640864, CNS-1229185 and CNS-1405927.; 43rd International Conference on Very Large Data Bases, VLDB 2017 ; Conference date: 28-08-2017 Through 01-09-2017",

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