noWorkflow: a Tool for Collecting, Analyzing, and Managing Provenance from Python Scripts

Summary: noWorkflow systematically collects provenance from Python scripts, including execution data and script evolution. Open-source provenance management enables reproducibility and analysis of computational experiments for research workflows. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 11654
Venue: VLDB
Year: 2017
Pagerank: 8.5875984e-05
Overall Rank: 2,431 | 83.33%
DOI: 10.14778/3137765.3137812

Incoming Non-self Citations Over Time

Authors

1. João Felipe Pimentel (Fluminense Federal University)
2. Leonardo Murta (Fluminense Federal University)
3. Vanessa Braganholo (Fluminense Federal University)
4. Juliana Freire (New York University)

BibTeX Citation

@article{pimentel_vldb17,
        title = {{noWorkflow: a Tool for Collecting, Analyzing, and Managing Provenance from Python Scripts}},
        author = {Pimentel, João Felipe and Murta, Leonardo and Braganholo, Vanessa and Freire, Juliana},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {12},
        pages = {1841--1844},
        doi = {10.14778/3137765.3137812},
        url = {https://doi.org/10.14778/3137765.3137812},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,350	Automating Large-Scale Data Quality Verification	2018	VLDB	0.00011065626
2,657	Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities	2021	SIGMOD	8.2887895e-05
4,756	Improving Reproducibility of Data Science Pipelines through Transparent Provenance Capture	2020	VLDB	6.5221401e-05
5,788	Bolt-on, Compact, and Rapid Program Slicing for Notebooks	2022	VLDB	6.0875411e-05
6,250	Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines	2021	CIDR	5.9418015e-05
7,907	Provenance-Enabled Explainable AI	2024	SIGMOD	5.5181056e-05
8,050	Capturing and Querying Fine-grained Provenance of Preprocessing Pipelines in Data Science	2021	VLDB	5.5000099e-05
10,075	ElasticNotebook: Enabling Live Migration for Computational Notebooks	2024	VLDB	5.1613298e-05
11,047	APEX-DAG: Library and Language independent Pipeline EXtraction	2025	VLDB	5.093636e-05
11,949	DfAnalyzer: Runtime Dataflow Analysis of Scientific Applications using Provenance	2018	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
9,089	Querying and Re-Using Workflows with VisTrails	2008	SIGMOD	5.3251649e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	11,860	Ursprung: Provenance for Large-Scale Analytics Environments	2019	SIGMOD
2	12,539	PDiffView: Viewing the Difference in Provenance of Workflow Results	2009	VLDB
3	8,050	Capturing and Querying Fine-grained Provenance of Preprocessing Pipelines in Data Science	2021	VLDB
4	13,412	Theory and Practice of Provenance	2022	SIGMOD
5	1,871	Efficient Lineage Tracking For Scientific Workflows	2008	SIGMOD
6	11,594	DPDS: Assisting Data Science with Data Provenance	2022	VLDB
7	9,089	Querying and Re-Using Workflows with VisTrails	2008	SIGMOD
8	4,756	Improving Reproducibility of Data Science Pipelines through Transparent Provenance Capture	2020	VLDB
9	919	Provenance and Scientific Workflows: Challenges and Opportunities	2008	SIGMOD
10	11,949	DfAnalyzer: Runtime Dataflow Analysis of Scientific Applications using Provenance	2018	VLDB