Array standard deviation utility
Chi-squared distribution standard deviation.
Small javascript / nodejs module to calculate the standard deviation
Beta distribution standard deviation.
Get the standard deviation in an array
Gamma distribution standard deviation.
return the standard deviation of an array or numeric argument list
Normal distribution standard deviation.
Inverse gamma distribution standard deviation.
Student's t distribution standard deviation.
Compute a corrected sample standard deviation incrementally.
calculate mean standard deviation in one pass
Lognormal distribution standard deviation.
Calculate the standard deviation of a strided array.
Arcsine distribution standard deviation.
Poisson distribution standard deviation.
Uniform distribution standard deviation.
Calculate the standard deviation of a strided array using a two-pass algorithm.
Exponential distribution standard deviation.
Hypergeometric distribution standard deviation.
Triangular distribution standard deviation.
Computes the sample standard deviation over an array of values.
Binomial distribution standard deviation.
Weibull distribution standard deviation.
A simple tool used to get the standard deviation from the cli.
Rust driver for tlv493d_a1b6 sensor on raspberry pi. Initially made by user ryankurte.
Utility-first statistics scaffolding for RustUse
Utility-first facade crate for RustUse math utilities
Primitive volatility vocabulary for RustUse quantitative crates
Population and sample standard deviation helpers over f64 slices.
An implementation of the standard deviation calculation in C, with much better performance (50x-100x) than using pure ruby.
Calculates standard deviation.
Using redis, allows statistics calculations on a streaming set of data without storing every value
Descriptive Statistics Calculator
Adds simple stats like average, variance and standard deviation to Enumerable
This class uses Kalman Filter updating to tally sample mean and sum of squared deviations from the average, along with min, max, and sample size. Sample variance, standard deviation, and standard error are calculated on demand.
Get methods like sum, average, standard deviation and more applied to arrays.
This gem allows to calculate the correlation of two variables (called vectors), the standard deviation and the covariance.
A Ruby gem that extends all Enumerable objects (Arrays, Ranges, Sets, etc.) with essential statistical methods. Provides mean, median, variance, and standard deviation calculations, along with robust outlier detection using the IQR method. Perfect for data analysis, performance monitoring, A/B testing, and cleaning datasets with extreme values. Zero dependencies and works seamlessly with any Ruby collection that includes Enumerable.
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