Skip to main content

A library for unit and quantity consistent computations in Rust

Project description

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

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

GitLab – Unitforge Crate

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

unitforge-0.3.10.tar.gz (49.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

unitforge-0.3.10-cp312-cp312-manylinux_2_34_x86_64.whl (608.8 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.34+ x86-64

File details

Details for the file unitforge-0.3.10.tar.gz.

File metadata

  • Download URL: unitforge-0.3.10.tar.gz
  • Upload date:
  • Size: 49.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.9.4

File hashes

Hashes for unitforge-0.3.10.tar.gz
Algorithm Hash digest
SHA256 7187c227d63a3ece139493e0f1a982870c70b6a99dff9f81f2bea51b86c4e70b
MD5 3f05b13c6e7774a762778df81ce54c1d
BLAKE2b-256 d44827b2c699578ba1eda184cf13e69d86bdc4baaa2a07e9ee13e69ceeeb8eda

See more details on using hashes here.

File details

Details for the file unitforge-0.3.10-cp312-cp312-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for unitforge-0.3.10-cp312-cp312-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 a7923b3d37d7856a2c2f88cef824d7e81fdcdfb62208c7c16b6b17a59c4862c0
MD5 689a932a11fd7f8dad177be52affbd75
BLAKE2b-256 b55e9f7536c007ec6c5ff8701dc83b671f8d93a5ae7d06cf8c314765c0af7661

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page