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Trinity: An Extensible Synthesis Framework for Data Science

Summary: Trinity is an extensible framework for rapidly building domain-specific program synthesizers to automate data-science chores. It provides built-in data-wrangling synths for end users, extensible components for power users, and a pluggable search engine for synthesis experts to customize and accelerate janitorial data tasks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11899
Venue
VLDB
Year
2019
Pagerank
4.7245406e-05
Overall Rank
7,458 | 48.12%
DOI
10.14778/3352063.3352098

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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
1,267 Foofah: Transforming Data By Example 2017 SIGMOD 0.00012936483
7,463 Automated Migration of Hierarchical Data to Relational Tables using Programming-by-Example 2018 VLDB 4.7232241e-05
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