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runstats

Compute statistics and regression in one pass

With conditionsPyPI MathematicsReleased Jun 2021146.1K downloads / moApache 2.0Platform wheel

Decision gist · record as of 2026-08-14

platform wheels — runstats-2.0.0-cp36-cp36m-macosx_10_9_x86_64.whl · runstats-2.0.0-cp36-cp36m-manylinux1_i686.whl · runstats-2.0.0-cp36-cp36m-manylinux1_x86_64.whl
v2.0.0 · released 2021-06-11 · Python >=3.6

Yes, if you need single-pass statistics on streaming or memory-constrained data and can accept an abandoned package. The code is stable (Production/Stable status, no known vulnerabilities), well-tested, and pure Python, but no maintenance since 2021 means no fixes for future Python incompatibilities. Suitable for established systems where you control the Python version; avoid if you need active support or compatibility with Python 3.10+.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.6 or later; optional Cython extension requires a C compiler but pure-Python version works without it.
  • Medium install friction due to optional Cython extension wheels built for specific Python versions (3.6–3.8 on multiple platforms), though pure-Python fallback is available.
  • Package is abandoned as of 2021 with no recent maintenance.

License · maintenance · safety

Apache 2.0 (permissive) — Apache 2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.

last release 2021-06-11 (1890 days) · last repo commit 2021-07-13 · 101 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 146,069 downloads/mo, #11,109 on PyPI

Verify before relying

pip install runstats

from runstats import Statistics, Regression

stats = Statistics()
for value in data:
    stats.push(value)
print(stats.mean(), stats.variance())

regr = Regression()
for x, y in pairs:
    regr.push(x, y)
print(regr.slope(), regr.correlation())
  • Whether the optional Cython extension is automatically built and used, or requires manual compilation.
  • Current compatibility with Python versions beyond 3.9 (package tested only through 3.9).
  • Whether the abandoned status affects stability or introduces compatibility issues in modern environments.
Same gist for agents: .md · .json

What it is and what it does

RunStats is a Python module for computing statistics and regression summaries in a single pass over data, designed for scenarios where storing all values in memory is infeasible or where data arrives as a stream (e.g., from generators). It provides three main classes: Statistics for computing mean, variance, standard deviation, skewness, kurtosis, and min/max; Regression for computing slope, intercept, and correlation; and ExponentialStatistics for weighted statistics that emphasize recent values over older ones using a configurable decay rate.

The module is pure Python with an optional Cython-optimized extension for performance. It handles sequences larger than available memory, supports combining multiple summary objects into aggregate summaries, and works with any iterable including generators. All calculations use Python's float type and are numerically stable.

Use it for

  • Monitor long-running system performance by computing latency or request-interval statistics from a continuous stream of measurements.
  • Analyze data from generators or large files where loading all values into memory is impractical.
  • Track exponential-weighted statistics to observe recent system behavior while gradually discounting historical data.
  • Combine statistics from multiple independent data streams into a single aggregate summary.
  • Compute linear regression on paired observations without storing all points, useful for trend analysis in time-series data.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you need single-pass statistics on streaming or memory-constrained data and can accept an abandoned package.

The code is stable (Production/Stable status, no known vulnerabilities), well-tested, and pure Python, but no maintenance since 2021 means no fixes for future Python incompatibilities. Suitable for established systems where you control the Python version; avoid if you need active support or compatibility with Python 3.10+.

Install

runstats on PyPI

Before you install

Medium install friction due to optional Cython extension wheels built for specific Python versions (3.6–3.8 on multiple platforms), though pure-Python fallback is available. Package is abandoned as of 2021 with no recent maintenance.

Requires Python 3.6 or later; optional Cython extension requires a C compiler but pure-Python version works without it.

License in practice

Apache 2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.

Quickstart

pip install runstats

from runstats import Statistics, Regression

stats = Statistics()
for value in data:
    stats.push(value)
print(stats.mean(), stats.variance())

regr = Regression()
for x, y in pairs:
    regr.push(x, y)
print(regr.slope(), regr.correlation())

Verify before relying

  • Whether the optional Cython extension is automatically built and used, or requires manual compilation.
  • Current compatibility with Python versions beyond 3.9 (package tested only through 3.9).
  • Whether the abandoned status affects stability or introduces compatibility issues in modern environments.

Package facts

LicenseApache 2.0 permissive
Python supportSupports the current Python release >=3.6
Install frictionMedium. Platform-specific wheel
Runtime dependenciesNone
MaintenanceAbandoned 1,890 days since the last release
Last repo commit
First released
Downloads146,069 / month, #11,109 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseNatural Language :: EnglishProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPython

Evidence: runstats-2.0.0-cp36-cp36m-macosx_10_9_x86_64.whl; runstats-2.0.0-cp36-cp36m-manylinux1_i686.whl; runstats-2.0.0-cp36-cp36m-manylinux1_x86_64.whl; runstats-2.0.0-cp36-cp36m-manylinux2010_i686.whl; runstats-2.0.0-cp36-cp36m-manylinux2010_x86_64.whl; runstats-2.0.0-cp36-cp36m-win32.whl; runstats-2.0.0-cp36-cp36m-win_amd64.whl; runstats-2.0.0-cp37-cp37m-macosx_10_9_x86_64.whl; runstats-2.0.0-cp37-cp37m-manylinux1_i686.whl; runstats-2.0.0-cp37-cp37m-manylinux1_x86_64.whl; runstats-2.0.0-cp37-cp37m-manylinux2010_i686.whl; runstats-2.0.0-cp37-cp37m-manylinux2010_x86_64.whl; runstats-2.0.0-cp37-cp37m-win32.whl; runstats-2.0.0-cp37-cp37m-win_amd64.whl; runstats-2.0.0-cp38-cp38-macosx_10_9_x86_64.whl; runstats-2.0.0-cp38-cp38-manylinux1_i686.whl; runstats-2.0.0-cp38-cp38-manylinux1_x86_64.whl; runstats-2.0.0-cp38-cp38-manylinux2010_i686.whl; runstats-2.0.0-cp38-cp38-manylinux2010_x86_64.whl; runstats-2.0.0-cp38-cp38-win32.whl

Tags

Capabilities
online statistics single passstreaming statistics computationrunning mean variance calculationone-pass regression analysismemory-efficient statisticsexponential decay statisticsincremental statistics aggregation
Topics
streaming-datanumericsabandoned

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See also statistics · rasterstats · statsmodels · momentchi2 · stockstats · exactextract · percentify · facets-overview · polars-ols · xarray-einstats