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Kishu: Time-Traveling for Computational Notebooks

Summary: Kishu provides time-travel for computational notebooks via fault-tolerant, incremental checkpoints at a novel co-variable granularity that preserves complex inter-variable dependencies across many data-science object classes. It computes state diffs to perform incremental checkouts with sub-second latency and minimal loading, cutting checkpoint size and restore time up to 4.55x and 9.02x. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14252
Venue
VLDB
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,888 | 24.26%
DOI
10.14778/3717755.3717759

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
10,286 QStore: Quantization-Aware Compressed Model Storage 2026 VLDB 4.1945683e-05
10,302 Chipmink: Efficient Delta Identification for Massive Object Graphs 2026 VLDB 4.1945683e-05
10,434 Demo of Kishu: Time-Traveling for Computational Notebooks 2025 SIGMOD 4.1945683e-05
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