streamly-statistics: Statistical measures for finite or infinite data streams.

[ apache, library, statistics, streamly ] [ Propose Tags ]

Statistical measures for finite or infinite data streams.

All operations use numerically stable floating point arithmetic. Measurements can be performed over the entire input stream or on a sliding window of fixed or variable size. Where possible, measures are computed online without buffering the input stream.

Includes:

  • Summary: length, sum, powerSum

  • Location: minimum, maximum, rawMoments, means, exponential smoothing

  • Spread: range, variance, deviations

  • Shape: skewness, kurtosis

  • Sample statistics, resampling

  • Probablity distribution: frequency, mode, histograms

  • Transforms: Fast fourier transform


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Versions [RSS] 0.1.0
Change log CHANGELOG.md
Dependencies base (>=4.9 && <5), containers (>=0.5 && <0.7), deque (>=0.4.4 && <0.4.5), mwc-random (>=0.15 && <0.16), random (>=1.2 && <1.3), streamly-core (==0.1.0) [details]
License Apache-2.0
Copyright 2019 Composewell Technologies
Author Composewell Technologies
Maintainer streamly@composewell.com
Category Streamly, Statistics
Home page https://streamly.composewell.com
Bug tracker https://github.com/composewell/streamly-statistics/issues
Source repo head: git clone https://github.com/composewell/streamly-statistics
Uploaded by harendra at 2023-04-18T13:41:06Z
Distributions NixOS:0.1.0
Downloads 42 total (3 in the last 30 days)
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Readme for streamly-statistics-0.1.0

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streamly-statistics

Statistical measures for finite or infinite data streams.

All operations use numerically stable floating point arithmetic. Measurements can be performed over the entire input stream or on a sliding window of fixed or variable size. Where possible, measures are computed online without buffering the input stream.

Includes:

  • Summary: length, sum, powerSum
  • Location: minimum, maximum, rawMoments, means, exponential smoothing
  • Spread: range, variance, deviations
  • Shape: skewness, kurtosis
  • Sample statistics, resampling
  • Probablity distribution: frequency, mode, histograms
  • Transforms: Fast fourier transform