OnlineStats does statistics and data visualization for big/streaming data via online algorithms. High-performance single-pass algorithms for statistics and data viz. Updated one observation at a time. Algorithms use O(1) memory. Algorithms use O(1) memory.

Features

  • Processes data one observation at a time
  • Uses O(1) memory
  • Stats are subtypes of OnlineStat{T} where T is the type of a single observation
  • Stats can be updated with single or multiple observations
  • Stats can be merged
  • Algorithms use O(1) memory
  • Perfect for streaming and big data
  • Updated one observation at a timeHigh-performance single-pass algorithms for statistics and data viz

Project Samples

OnlineStats.jl Screenshot 1

Project Activity

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