numerize
Convert large numbers into readable numbers for humans.
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
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 · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use, modify, and distribute this package freely with minimal restrictions.
last release 2018-08-14 (2922 days) · last repo commit 2023-08-10 · 77 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 90,195 downloads/mo, #13,612 on PyPI
Alternatives
Verify before relying
pip install numerize
from numerize import numerize
print(numerize(1234567.12)) # Output: '1.23M'- 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
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 on it.
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
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
| License | MIT permissive |
| Python support | Not specified |
| Install friction | High. Source build required |
| Runtime dependencies | None |
| Maintenance | Abandoned 2,922 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 90,195 / month, #13,612 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: numerize-0.12.tar.gz
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See also hurry.filesize · human-readable · number-parser · humanfriendly · python-stdnum · ago · humanize · recognizers-text-number-with-unit · recognizers-text-number