Trinity: An Extensible Synthesis Framework for Data Science
Summary: Trinity is an extensible framework for rapidly building domain-specific program synthesizers that automate data-science “janitor” tasks such as data wrangling. It supports layered customization: end users invoke built-ins, advanced users extend synthesizers, and experts replace the search engine. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ruben Martins (Carnegie Mellon University)
- 2. Jia Chen (University of Texas)
- 3. Yanju Chen (University of California Santa Barbara)
- 4. Yu Feng (University of California Santa Barbara)
- 5. Isil Dillig (University of Texas)
BibTeX Citation
@article{martins_vldb19,
title = {{Trinity: An Extensible Synthesis Framework for Data Science}},
author = {Martins, Ruben and Chen, Jia and Chen, Yanju and Feng, Yu and Dillig, Isil},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {12},
pages = {1914--1917},
doi = {10.14778/3352063.3352098},
url = {https://doi.org/10.14778/3352063.3352098},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,438 | PATSQL: Efficient Synthesis of SQL Queries from Example Tables with Quick Inference of Projected Columns | 2021 | VLDB | 6.2195845e-05 |
| 6,533 | Data Migration using Datalog Program Synthesis | 2020 | VLDB | 5.8488042e-05 |
| 6,607 | SQUARES: A SQL Synthesizer Using Query Reverse Engineering | 2020 | VLDB | 5.8236702e-05 |
| 10,867 | Weak-to-Strong Prompts with Lightweight-to-Powerful LLMs for High-Accuracy, Low-Cost, and Explainable Data Transformation | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,165 | Foofah: Transforming Data By Example | 2017 | SIGMOD | 0.00011860616 |
| 8,217 | Automated Migration of Hierarchical Data to Relational Tables using Programming-by-Example | 2018 | VLDB | 5.4644927e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,487 | To UDFs and Beyond: Demonstration of a Fully Decomposed Data Processor for General Data Wrangling Tasks | 2023 | VLDB |
| 2 | 6,533 | Data Migration using Datalog Program Synthesis | 2020 | VLDB |
| 3 | 4,875 | Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search | 2021 | VLDB |
| 4 | 6,809 | Web Data Extraction using Hybrid Program Synthesis: A Combination of Top-down and Bottom-up Inference | 2020 | SIGMOD |
| 5 | 4,733 | Interactive Query Synthesis from Input-Output Examples | 2017 | SIGMOD |
| 6 | 436 | Trinity: A Distributed Graph Engine on a Memory Cloud | 2013 | SIGMOD |
| 7 | 5,992 | Just can't get enough - Synthesizing Big Data | 2015 | SIGMOD |
| 8 | 8,638 | Towards A Polyglot Framework for Factorized ML | 2021 | VLDB |
| 9 | 12,088 | Synthesizing Data Programs | 2015 | CIDR |
| 10 | 9,028 | DataSynth: Generating Synthetic Data using Declarative Constraints | 2011 | VLDB |