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)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,933 | Querying and Re-Using Workflows with VisTrails | 2008 | SIGMOD | 4.427232e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,665 | Ursprung: Provenance for Large-Scale Analytics Environments | 2019 | SIGMOD | 4.1945683e-05 |
| 12,345 | PDiffView: Viewing the Difference in Provenance of Workflow Results | 2009 | VLDB | 4.1945683e-05 |
| 8,163 | Capturing and Querying Fine-grained Provenance of Preprocessing Pipelines in Data Science | 2021 | VLDB | 4.5723431e-05 |
| 13,209 | Theory and Practice of Provenance | 2022 | SIGMOD | - |
| 1,765 | Efficient Lineage Tracking For Scientific Workflows | 2008 | SIGMOD | 0.00010630348 |
| 11,396 | DPDS: Assisting Data Science with Data Provenance | 2022 | VLDB | 4.1945683e-05 |
| 8,933 | Querying and Re-Using Workflows with VisTrails | 2008 | SIGMOD | 4.427232e-05 |
| 5,086 | Improving Reproducibility of Data Science Pipelines through Transparent Provenance Capture | 2020 | VLDB | 5.7078462e-05 |
| 923 | Provenance and Scientific Workflows: Challenges and Opportunities | 2008 | SIGMOD | 0.0001527609 |
| 11,743 | DfAnalyzer: Runtime Dataflow Analysis of Scientific Applications using Provenance | 2018 | VLDB | 4.1945683e-05 |