Unitforge
Unitforge is a Python library for working with physical quantities that respect units, dimensional analysis, and arithmetic correctness — powered by high-performance Rust under the hood.
Built for scientific computing, simulation, and engineering workflows where unit safety is non-negotiable.
Features
- Strong unit enforcement: Prevent unit mismatch bugs at runtime.
- Arithmetic support: Add, subtract, multiply, and divide quantities with automatic unit resolution.
- Unit conversion: Convert between compatible units on the fly.
- Scientific formatting: Values display with 4 significant digits and the configured unit.
- 3D Vectors & Matrices: Perform vector/matrix math with quantities and units.
- NumPy integration: Convert to/from NumPy arrays easily.
- Constants: Built-in constants like the speed of light.
- Serialization-ready: Optional serde-based serialization support (if compiled with feature).
Installation
pip install unitforge
Example Usage
from unitforge import Force, ForceUnit, Distance, DistanceUnit
f = Force(12.0, ForceUnit.N)
print(f.to(ForceUnit.mN)) # → 12000.0
d = Distance(2.0, DistanceUnit.m)
work = f * d
print(work) # → 24 Nm
Unit Conversion
f = Force(1.0, ForceUnit.N)
print(f.to(ForceUnit.kN)) # → 0.001
Arithmetic
f1 = Force(5.0, ForceUnit.N)
f2 = Force(3.0, ForceUnit.N)
f_sum = f1 + f2
print(f_sum.to(ForceUnit.N)) # → 8.0
Comparing Quantities
== is tolerance-based: two quantities are equal when they differ by at most 1e-9 of the larger
magnitude. An infinity equals only itself, and NaN equals nothing. <, <=, > and >= compare
exactly, so for nearly equal values a == b and a < b can both be true. For explicit tolerances
use a.close_abs(b, threshold) (absolute, threshold is a quantity) or
a.close_rel(b, threshold) (relative to the mean magnitude). Quantities are not hashable.
a = Force(1.0, ForceUnit.N)
b = Force(1.0 + 1e-12, ForceUnit.N)
print(a == b, a < b) # → True True
Vector and Matrix Support
from unitforge import Vector3, Distance, DistanceUnit
v = Vector3.from_list([
Distance(3., DistanceUnit.m),
Distance(4., DistanceUnit.m),
Distance(12., DistanceUnit.m)
])
print(v.norm()) # → 13.0 m
NumPy Interoperability
import numpy as np
from unitforge import Vector3, ForceUnit
arr = np.array([1.0, 2.0, 3.0])
vec = Vector3.from_array(arr, ForceUnit.N)
arr_back = vec.to_array(ForceUnit.N)
print(arr_back) # → [1. 2. 3.]
Quantities Available
Examples include:
Acceleration,AreaOfMoment,Density,Stiffness,Time,Volume,Angle,Area,Distance,ForcePerVolume,Strain,Velocity,AngularAcceleration,Charge,ForceArea,Force,Stress,VelocitySquared,AngularVelocity,Compliance,ForceDistance,ForceVolume,Mass,Voltage- Each with associated unit enums (e.g.,
ForceUnit,DistanceUnit, ...)
from math import isclose
from unitforge import Force, ForceUnit
f = Force(12., ForceUnit.N)
assert isclose((f * 2).to(ForceUnit.N), 24.)
Contributing
Contributions are welcome! While the core is implemented in Rust, Python usage feedback, bug reports, and API improvements are highly valued.
Repository
1 maintainer
Metadata
1 maintainer
Release files for unitforge 0.5.13
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| File | Size | Uploaded | Provenance | |
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| unitforge-0.5.13-cp312-cp312-manylinux_2_34_x86_64.whl | CPython 3.12 | CPython 3.12 | Linux glibc 2.34+ x86-64 | Details |
Total release size: 1.1 MB
Release files / unitforge-0.5.13.tar.gz
| Download URL | unitforge-0.5.13.tar.gz |
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