quantiles

DuckDB extension for approximate analytics with Apache DataSketches: distinct counts, quantiles, frequent items, set operations, and sampling.

DynaHist: A Dynamic Histogram Library for Java

TypeScript implementation of the distributed quantile sketch algorithm DDSketch

C++14 port of the DDSketch distributed quantile sketch algorithm

Kernel density integral transformation: feature preprocessing and univariate clustering (TMLR, 2023)

R Package for Multivariate Ranks and Quantiles Using Optimal Transportation

High-integrity Python KLL sketch for streaming quantiles — mergeable, deterministic, zero-dependency, with optional C++17/SIMD acceleration.

Quantile Binned Plots

Error Metrics for Wind Climates based on Statistical Quantiles and Wasserstein Distances

Probabilistic demand forecasting for Ruby: Croston, SBA and TSB for intermittent demand, demand classification with automatic model selection, and calibrated quantiles for every period and the lead-time total. Pure Ruby, zero runtime dependencies.

Inspect and decode Apache DataSketches binaries. Find a serialized sketch in MongoDB, Parquet, Delta, Spark or Databricks, and get a readable report in the browser or CLI

TimesFM 2.5 fork that restores forecast_with_covariates and maps the quantile head to inventory policy.

Python/Seaborn script drawing letter-value (boxen) plots of depth distributions, demonstrated on Mariana Trench bathymetry. Reusable scientific-plotting example.

Trino plugin providing 65 SQL functions for Apache DataSketches probabilistic data structures (HLL, Theta, CPC, KLL, Quantiles, Frequencies, Tuple)

A integer-domain Greenwald–Khanna sketch with rational error parameters, explicit rank-interval certificates and failure-atomic bounded updates. Independent sorted-stream tests check rank evidence, including duplicates, rather than assuming a distribution.

A Node-Red node realizing the 𝗣² algorithm of Jain and Chlamtec (1985) for dynamic calculation of quantiles without storing observations

Interactive probability-space axis and tick-rendering experiment for adaptive quantitative visualization.

Statistics for Data Analysis | Quartiles, Quantiles and Interquartile Range

Calculate quartiles, quantiles, and the inter-quartile range (IQR) for a variable

Scala version of Differentially Private Quantiles