statistics

What it is and what it does

This package is a backport of Python 3.4's statistics module to Python 2.x, created by converting the official CPython implementation using the 3to2 tool. It provides functions for calculating basic descriptive statistics—mean, median, mode, standard deviation, and variance—on numeric data.

The package was last released on 2014-10-16 and is no longer maintained. With a maintenance status of abandoned and no updates in 4320 days, this backport is effectively obsolete. Installing it serves no practical purpose for new code.

Use it for:

• Legacy Python 2.6 or 2.7 codebases that need basic statistical calculations and cannot be upgraded.
• Educational projects demonstrating how to port standard library modules between Python versions using automated tools.
• Historical reference for understanding how the official statistics module was adapted for older Python versions.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Provides basic mathematical statistics functions (mean, median, mode, standard deviation, variance) for Python 2.x, backported from Python 3.4's standard library statistics module.

No. This package is abandoned (last updated 2014-10-16) and targets Python 2.6 and 2.7. Install only if you are maintaining legacy code on those versions that cannot be upgraded; otherwise, use Python 3's built-in statistics module.

Install

statistics on PyPI

pip install statistics

uv add statistics

poetry add statistics

Installing statistics

Before you install

High install friction due to abandonment: last release was 2014-10-16 and maintenance status is abandoned. No updates in over 4320 days.

License in practice

Licensed under Apache License 2.0 (permissive), so commercial and private use are permitted without restriction.

Quickstart

pip install statistics

import statistics
data = [1, 2, 3, 4, 5]
mean_value = statistics.mean(data)
median_value = statistics.median(data)

Requires Python 2.6 or 2.7; modern Python versions include statistics in the standard library.

Verify before relying

• Whether Python 2 environments where this package runs remain viable for production use.
• Whether the 3to2 conversion process introduced any numerical accuracy or edge-case handling differences from the official Python 3.4 statistics module.
• Current compatibility with Python 2.6 and 2.7 on modern systems.

Package facts

Evidence: statistics-1.0.3.5.tar.gz

Keywords: statistics

Tags

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