Demo of Kishu: Time-Traveling for Computational Notebooks
Summary: Kishu enables time-travel in computational notebooks via lightweight incremental checkpoints and sub-second restores. It transparently tracks operations to build checkpoints and supports manual/automatic commits for undo and past-state exploration. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Zhaoheng Li (University of Illinois Urbana-Champaign)
- 2. Supawit Chockchowwat (University of Illinois Urbana-Champaign)
- 3. Hanxi Fang (University of Illinois Urbana-Champaign)
- 4. Yongjoo Park (University of Illinois Urbana-Champaign)
BibTeX Citation
@inproceedings{li_sigmod25,
title = {{Demo of Kishu: Time-Traveling for Computational Notebooks}},
author = {Li, Zhaoheng and Chockchowwat, Supawit and Fang, Hanxi and Park, Yongjoo},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3725095},
url = {https://dl.acm.org/doi/10.1145/3722212.3725095},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,146 | QStore: Quantization-Aware Compressed Model Storage | 2026 | VLDB | 5.0715586e-05 |
| 10,151 | Kishu: Time-Traveling for Computational Notebooks | 2025 | VLDB | 5.0715586e-05 |
| 11,047 | Chipmink: Efficient Delta Identification for Massive Object Graphs | 2026 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 784 | VerdictDB: Universalizing Approximate Query Processing | 2018 | SIGMOD | 0.00014012614 |
| 1,797 | IDEBench: A Benchmark for Interactive Data Exploration | 2020 | SIGMOD | 9.6187325e-05 |
| 5,877 | BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees | 2019 | SIGMOD | 5.9627218e-05 |
| 5,900 | Bolt-on, Compact, and Rapid Program Slicing for Notebooks | 2022 | VLDB | 5.9544996e-05 |
| 9,575 | A Step Toward Deep Online Aggregation | 2023 | SIGMOD | 5.1571823e-05 |
| 10,151 | Kishu: Time-Traveling for Computational Notebooks | 2025 | VLDB | 5.0715586e-05 |
| 10,279 | ElasticNotebook: Enabling Live Migration for Computational Notebooks | 2024 | VLDB | 5.0455234e-05 |
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