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77 packages found
An Implementation Of DDSketch, A Fast and Fully-Mergeable Quantile Sketch with Relative-Error Guarantees.
Tools used to understand or work with numbers in Node.JS, Javascript and derivatives.
- number
- numbers
- math
- theory
- abundant
- adaptive simpson
- addition
- affine
- arithmetic
- basic
- bates
- binomial
- box muller
- box muller transform
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Components for charts with one categorical axis and one continuous axis
- react
- visualization
- data visualization
- chart
- charts
- bar
- bar-chart
- box-plot
- quantile
- quantile-chart
- strip
- strip-chart
- schedule
- schedule-chart
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Computes a quantile for a numeric array.
Computes quantiles for an array ignoring non-numeric values.
- compute.io
- compute
- computation
- statistics
- stats
- mathematics
- math
- quantile
- quantiles
- percentile
- percentiles
- median
- array
- min
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Computes the interquartile mean (midmean) of a numeric array.
- compute.io
- compute
- computation
- interquartile
- mean
- iqm
- central
- tendency
- statistics
- stats
- mathematics
- math
- quartile
- quantile
A T-Digest algorithm based libarary for percentile
Lognormal distribution quantile function.
- distributions.io
- distributions
- distribution
- probability
- statistics
- stats
- cdf
- inverse
- quantile
- gaussian
- normal
- log
An implementation of tdigest with serialization and deserialization for space-efficient storage.
a JavaScript library for performing geospatial operations with GeoJSON
a JavaScript library for performing geospatial operations with GeoJSON
port of latest (5/2019) TDigest algorithm to kotlin multiplatform
A library for calculating the PDF, CDFs, and quantile function values of common probability distributions
- probability
- distribution
- cdf
- density
- cumulative
- quantile
- normal
- gaussian
- student's
- t
- F
- chi-square
- gamma
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a JavaScript library for performing geospatial operations with GeoJSON
JavaScript stats library containing parallel distributed streaming algorithms to compute important frequently used statistics on big data. The library calculates commonly used univariate, multivariate and discrete statistics. It can be used alone in a webpage, or server-side in nodejs (or both since mss's can be merged), or within a big-data no-sql engines such as hadoop, mongodb.
- stats
- statistics
- analytics
- univariate
- multivariate
- discrete
- mean
- variance
- standard deviation
- unbiased
- constant time
- constant space
- fixed space
- efficient
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