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0.1.0

PyPI

adaptive-stats

Dynamically updated basic descriptive statistics

Published26 Jun 2026

Direct dependencies1

Transitive dependenciesNot calculated

README

Version 0.1.0 documentation

This is a Python implementation of QuickStats, a class that calculates basic descriptive statistics from a stream of data with efficient dynamic updating. Data can be added to a QuickStats object qs using qs.new_obs(datum) or qs.add_all(iterable_collection), both of which can be chained, e.g. qs.new_obs(1).new_obs(2) or qs.add_all([1,2]).new_obs(3). Statistics for the current set of data can be polled on demand: qs.n, qs.avg, qs.s, qs.var, etc. See the python docs for detailed information.

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Native requirements

1 direct targetsNot calculated transitive count

Package / target	Requirement	Relationship
pytest Environment { "extras": "", "marker": "extra == \"dev\"", "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`pytest>=8.0.0; extra == "dev"`	runtime