From Papers to Practice: The openclean Open-Source Data Cleaning Library
Summary: openclean is an extensible open-source Python library unifying data profiling and cleaning in an accessible workflow. It uniquely bridges research and practice by enabling direct integration, deployment, and evaluation of state-of-the-art cleaning algorithms on real data. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Heiko Müller (New York University)
- 2. Sonia Castelo (New York University)
- 3. Munaf Qazi (New York University)
- 4. Juliana Freire (New York University)
BibTeX Citation
@article{muller_vldb21,
title = {{From Papers to Practice: The openclean Open-Source Data Cleaning Library}},
author = {Müller, Heiko and Castelo, Sonia and Qazi, Munaf and Freire, Juliana},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {2763--2766},
doi = {10.14778/3476311.3476339},
url = {https://doi.org/10.14778/3476311.3476339},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 112 | HoloClean: Holistic Data Repairs with Probabilistic Inference | 2017 | VLDB | 0.00032801121 |
| 141 | Deep Entity Matching with Pre-Trained Language Models | 2021 | VLDB | 0.0002964847 |
| 701 | Archiving Scientific Data | 2002 | SIGMOD | 0.00014870915 |
| 1,374 | Data Profiling with Metanome | 2015 | VLDB | 0.00010986078 |
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