Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
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Updated
Jun 3, 2024 - Julia
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
The quantities and units library for C++
Physical Quantities (PhQ) is a C++ library of physical quantities, physical models, and units of measure for scientific computing.
Physical Quantities (PhQ) is a C++ library of physical quantities, physical models, and units of measure for scientific computing.
A comprehensive (SI) units package for LaTeX
A C++14-compatible physical units library with no dependencies and a single-file delivery option. Emphasis on safety, accessibility, performance, and developer experience.
Statically-checked physical units with seamless syntax
Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.
GROBID extension for identifying and normalizing physical quantities.
Measurements.jl compatibility layer for UnitSystems.jl
Dimensions and Quantities for UnitSystems.jl
A header only C++ library that provides type safety and user defined literals for physical units
Simple Physical Quantities for Python - Unit conversions made easy
Windows OS Application to perform conversions between units of a Physical Quantity.
Physical Quantities and Measures (PQM) is a Node and browser package for dealing with numbers with units
Physical unit systems (Metric, English, Natural, etc...)
DUQ is a python package for working with physical Dimensions, Units, and Quantities.
benri is a c++ library for compile time checking of physical quantities.
Extending the python json package functionality
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