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BauplanLabs/DBPLANBENCH

Repository hosting code to reproduce our paper (with Stanford, TogetherAI and Univ. Wisconsin-Madison), "DBPLANBENCH: Test-Time Optimization of Physical Query Plans with LLMs"

Visit GitHub
Python
33
2
4 contributors
MIT License
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Momentum

How fast BauplanLabs/DBPLANBENCH is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Feb 2026 – Nov 2026

Stars +33 in 10 months

051015
15

Forks +2 in 10 months

01
1

Merged PRs 3 in 10 months

012
2

Trendshift Trendingthe best rank each month, on any day it made the top 25

Not in the Trendshift top 25 in this period

Feb 2026Apr 2026Jun 2026Aug 2026Oct 2026
The left and right arrow keys step from month to month; Home and End go to the first and the last

Stars, forks, merged pull requests and best Trendshift Trending rank, by month
MonthStars gainedForks gainedMerged PRs
February 2026+15+12
March 2026+3+00
April 2026+10+00
May 2026+2+00
June 2026+2+01
July 2026+0+10
August 2026+1+00
September 2026+0+00
October 2026+0+00
November 2026+0+00
Total+33+23
  • 1#1 on the list
  • 7Best rank that month
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Sep 221 post

    • 2/3 Compact plans, join patches, evolutionary search, sandbox checks with @modal. The payoff: up to 4.78×. Selected plans retained gains on larger datasets.

      Read full on X, posted by @jacopotagliabue

      @jacopotagliabue · x.com

  2. 2 months earlier
  3. Jul 201 post

    • We test whether LLMs can exploit semantic correlations that optimizers may miss. To even *ask* the question, non-trivial engineering had to be done, e.g, compress plans into a token-efficient format…

      Read full on X, posted by @jacopotagliabue

      @jacopotagliabue · x.com

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