t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark
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Updated
May 4, 2023 - Python
t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark
Faster implementation of Stata's collapse, reshape, xtile, egen, isid, and more using C plugins
t-digest module for Redis
Web application that charts and compares multiple frame time logs at the same time. Compatible with FPS benchmarking programs such as PresentMon, OCAT, FrameView, CapFrameX, GeForce Experience or MangoHud
A library to compute histograms on distributed environments, on streaming data
High performance, native (C) implementations of various statistical functions
A simple standalone script to plot HdrHistograms directly from the output of wrk load testing tool
redis module for percentile estimation
Child growth charting library for React
🍀 An interactive simulation to explore the effect of luck in success
R peaks detection in ECGs using wavelet decomposition and higher statistics, implemented in MATLAB
Free WordPress Plugin: The percentile calculator helps to find percentile values for a data set. Use this percentile calculator to create a table listing each 5th percentile www.calculator.io/percentile-calculator/
Counter, gauge, and histogram base metrics for Go
B-digest is a Go library for fast and memory-efficient estimation of quantiles with guaranteed relative error and full mergeability
A collection of simple Python Programs for Applied Statistics.
Distributions visualized
Set of algorithms, used for estimation statistic characteristics on streaming data.
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