numerize

What it is and what it does

Numerize is a lightweight Python library that formats large numbers into compact, human-readable strings using K (thousands), M (millions), B (billions), and T (trillions) suffixes. It takes a number and optional decimal precision, returning a string representation similar to what social platforms display for follower counts.

The package has no external dependencies and works by dividing numbers by magnitude thresholds and formatting the result with appropriate suffixes. It handles both positive and negative numbers. However, the project has been abandoned since its last release in August 2018, with no active maintenance or updates to address compatibility with newer Python versions.

Use it for:

• Display follower or engagement counts in social media dashboards and analytics UIs
• Format large metrics (views, clicks, impressions) in data visualization or reporting tools
• Abbreviate file sizes or data volumes in storage or bandwidth monitoring interfaces
• Simplify large financial figures (revenue, transactions) in business dashboards

Worth the install?

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

Converts large numbers into human-readable abbreviated strings (e.g., 1234567 → '1.23M'), similar to social media follower count displays.

Yes, if you need simple number abbreviation and can accept an unmaintained package. The code is straightforward with no dependencies, so it's unlikely to break suddenly, but don't expect bug fixes or Python version updates. For new projects, consider whether a maintained alternative better fits your risk tolerance.

Install

numerize on PyPI

pip install numerize

uv add numerize

poetry add numerize

Installing numerize

Before you install

High install friction; package is abandoned (last release 2018-08-14, no commits since 2023-08-10). No runtime dependencies, but stale maintenance means bugs or compatibility issues are unlikely to be addressed.

License in practice

MIT license is permissive; you can use, modify, and distribute this package freely with minimal restrictions.

Quickstart

pip install numerize
from numerize import numerize
print(numerize(1234567.12))  # Output: '1.23M'

Verify before relying

• Whether the package works reliably on modern Python versions beyond 3.4, given its abandoned status
• Whether decimal rounding behavior matches current expectations for edge cases

Package facts

Evidence: numerize-0.12.tar.gz

Tags

More Utilities packages