Alternatives and similar repositories for reproducibility

Users that are interested in reproducibility are comparing it to the libraries listed below

• yunjiazhang / adaptiveness_vs_learning
  ☆12Updated 10 months ago
• alexandervanrenen / cab
  A benchmark for serverless analytic databases.
  ☆22Updated 9 months ago
• umbra-db / diamond-vldb2024
  Reproducibility package for "Robust Join Processing with Diamond Hardened Joins"
  ☆12Updated last year
• DataManagementLab / deepdb-public
  Implementation of DeepDB: Learn from Data, not from Queries!
  ☆102Updated 2 years ago
• learnedsystems / BaoForPostgreSQL
  A prototype implementation of Bao for PostgreSQL
  ☆202Updated 10 months ago
• learnedsystems / CEB
  Cardinality Estimation Benchmark
  ☆79Updated last year
• waltercai / pqo-opensource
  ☆24Updated 4 years ago
• Blondig / Lero-on-PostgreSQL
  ☆30Updated last year
• cornelldbgroup / skinnerdb
  SkinnerDB is an analytical database management system. It uses adaptive processing and reinforcement learning to find near-optimal join o…
  ☆49Updated last year
• microsoft / dsb
  The DSB benchmark is designed for evaluating both workloaddriven and traditional database systems on modern decision support workloads. D…
  ☆62Updated 8 months ago
• axhertz / SimplicityDoneRight
  ☆11Updated 2 years ago
• cwida / public_bi_benchmark
  BI benchmark with user generated data and queries
  ☆67Updated 6 months ago
• ldbc / dbgen.JCC-H
  ☆17Updated last year
• IntelLabs / Auto-Steer
  Auto-Steer
  ☆48Updated 7 months ago
• parimarjan / learned-cardinalities
  learned cardinalities for databases
  ☆15Updated 2 years ago
• Nathaniel-Han / End-to-End-CardEst-Benchmark
  A new CardEst Benchmark to Bridge AI and DBMS
  ☆126Updated 2 years ago
• sfu-db / AreCELearnedYet
  ☆71Updated 2 years ago
• gregrahn / join-order-benchmark
  Join Order Benchmark (JOB)
  ☆326Updated 5 months ago
• naru-project / naru
  Neural Relation Understanding: neural cardinality estimators for tabular data
  ☆102Updated 4 years ago
• andreaskipf / learnedcardinalities
  Code and workloads from the Learned Cardinalities paper (https://arxiv.org/abs/1809.00677)
  ☆124Updated 6 years ago
• balsa-project / balsa
  Balsa is a learned SQL query optimizer. It tailor optimizes your SQL queries to find the best execution plans for your hardware and engin…
  ☆141Updated 3 years ago
• itrummer / dbbert
  DB-BERT tunes database systems for optimal performance, using tuning hints mined from text.
  ☆61Updated last year
• utndatasystems / redbench
  Redbench is a set of 30 analytical SQL workloads that can be used to benchmark workload-driven optimizations (aiDM @ SIGMOD'25).
  ☆18Updated 2 months ago
• RyanMarcus / TreeConvolution
  PyTorch implementation of binary tree convolution
  ☆50Updated 5 years ago
• neurocard / neurocard
  State-of-the-art neural cardinality estimators for join queries
  ☆78Updated 4 years ago
• illinoisdata / quicksel
  Source code for QuickSel (SIGMOD 2020)
  ☆19Updated this week
• Jamesyang2333 / SAM
  A learning-based method for high-fidelity database generation.
  ☆16Updated 2 years ago
• embryo-labs / Robust-Predicate-Transfer
  [SIGMOD'25] Source code for the paper: Debunking the Myth of Join Ordering: Toward Robust SQL Analytics
  ☆19Updated 3 months ago
• DataManagementLab / zero-shot-cost-estimation
  Implementation of our VLDB'22 paper "Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction"
  ☆45Updated 2 years ago
• uw-mad-dash / llamatune
  Supplementary Material for "LlamaTune: Sample-Efficient DBMS Configuration Tuning"
  ☆35Updated 2 years ago