measurement
Easily use and manipulate unit-aware measurements in Python.
Decision gist · record as of 2026-08-14
Yes, if you need straightforward unit conversion and arithmetic for common physical quantities in a stable, low-dependency package. The MIT license and low install friction make it a safe choice. No, if you require active maintenance, high-precision floating-point calculations, or support for exotic measurement types—the dormant status and floating-point precision caveat suggest it is not evolving to meet new demands.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with a single dependency on sympy.
- The package is dormant (last commit 2024-02-19, no release for 1312 days), but remains marked Production/Stable and supports current Python versions (3.7+).
- Suitable for stable, non-evolving use cases.
License · maintenance · safety
permissive license (permissive) — MIT license (permissive) means you can use, modify, and distribute this package freely in both open-source and commercial projects with minimal restrictions.
last release 2023-01-10 (1312 days) · last repo commit 2024-02-19 · 116 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,128,574 downloads/mo, #4,323 on PyPI
Alternatives
Verify before relying
pip install measurement
from measurement.measures import Weight
weight_1 = Weight(lb=125)
weight_2 = Weight(kg=40)
added = weight_1 + weight_2
print(added.kg)- Whether floating-point precision limitations documented in the description materially affect typical use cases beyond the extraterrestrial navigation example.
- Current test coverage and whether dormant status reflects stability or abandonment risk for edge cases.
What it is and what it does
Measurement provides unit-aware objects for common physical quantities—distance, weight, temperature, energy, speed, volume, time, and area—inspired by Django's Distance class. You create a measurement by specifying a value in any supported unit, then convert, compare, or combine measurements across different units. Internally, values are stored as floating-point numbers in a standard SI unit, which means conversions are fast but subject to the precision limits of floating-point arithmetic.
The package is useful when you need to work with physical quantities in code and want to avoid manual unit conversion or unit-mismatch bugs. It depends only on sympy and installs with low friction. The codebase is dormant (last release January 2023, last commit February 2024) but marked Production/Stable and supports Python 3.7+, making it suitable for applications that don't require active maintenance or new features.
Use it for
- Convert between units in scientific or engineering calculations without manual conversion factors.
- Store and manipulate physical measurements in web applications or APIs that need to accept input in different units.
- Perform arithmetic on measurements (adding weights, combining distances) while preserving unit awareness.
- Build domain-specific tools for fields like GIS, chemistry, or physics that work with standardized unit objects.
- Validate and normalize user input that specifies quantities in mixed or non-standard units.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need straightforward unit conversion and arithmetic for common physical quantities in a stable, low-dependency package.
The MIT license and low install friction make it a safe choice. No, if you require active maintenance, high-precision floating-point calculations, or support for exotic measurement types—the dormant status and floating-point precision caveat suggest it is not evolving to meet new demands.
Install
measurement on PyPI
Before you install
Low install friction with a single dependency on sympy. The package is dormant (last commit 2024-02-19, no release for 1312 days), but remains marked Production/Stable and supports current Python versions (3.7+). Suitable for stable, non-evolving use cases.
License in practice
MIT license (permissive) means you can use, modify, and distribute this package freely in both open-source and commercial projects with minimal restrictions.
Quickstart
pip install measurement
from measurement.measures import Weight
weight_1 = Weight(lb=125)
weight_2 = Weight(kg=40)
added = weight_1 + weight_2
print(added.kg)Verify before relying
- Whether floating-point precision limitations documented in the description materially affect typical use cases beyond the extraterrestrial navigation example.
- Current test coverage and whether dormant status reflects stability or abandonment risk for edge cases.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagesympy |
| Maintenance | Dormant 1,312 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,128,574 / month, #4,323 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: JavaScriptProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/EngineeringTopic :: Scientific/Engineering :: AstronomyTopic :: Scientific/Engineering :: Atmospheric ScienceTopic :: Scientific/Engineering :: ChemistryTopic :: Scientific/Engineering :: GISTopic :: Scientific/Engineering :: MathematicsTopic :: Scientific/Engineering :: PhysicsTopic :: Software DevelopmentTopic :: Software Development :: LocalizationTopic :: Utilities |
Evidence: measurement-3.2.2-py3-none-any.whl
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