TY - JOUR
T1 - noWorkflow
T2 - 43rd International Conference on Very Large Data Bases, VLDB 2017
AU - Pimentel, João Felipe
AU - Murta, Leonardo
AU - Braganholo, Vanessa
AU - Freire, Juliana
N1 - 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.
Publisher Copyright:
© 2017 VLDB.
PY - 2017/8/1
Y1 - 2017/8/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85036655476&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85036655476&partnerID=8YFLogxK
U2 - 10.14778/3137765.3137789
DO - 10.14778/3137765.3137789
M3 - Conference article
AN - SCOPUS:85036655476
VL - 10
SP - 1841
EP - 1844
JO - Proceedings of the VLDB Endowment
JF - Proceedings of the VLDB Endowment
SN - 2150-8097
IS - 12
Y2 - 28 August 2017 through 1 September 2017
ER -