common-lisp-stat VS Measurements.jl

Compare common-lisp-stat vs Measurements.jl and see what are their differences.

common-lisp-stat

Common Lisp Statistics -- based on LispStat (Tierney) but updated for Common Lisp and incorporating lessons from R (http://www.r-project.org/). See the google group for lisp stat / common lisp statistics for a mailing list. (by blindglobe)

Measurements.jl

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. (by JuliaPhysics)
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common-lisp-stat Measurements.jl
2 2
170 472
- 1.1%
0.0 5.8
over 4 years ago 20 days ago
Common Lisp Julia
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

common-lisp-stat

Posts with mentions or reviews of common-lisp-stat. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-31.

Measurements.jl

Posts with mentions or reviews of Measurements.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-31.
  • Uncertainty in linear equations
    1 project | /r/AskPhysics | 21 Oct 2022
  • Lisp-stat: An environment for Statistical Computing
    4 projects | news.ycombinator.com | 31 Mar 2021
    Aside from the language features, some of the libraries in Julia make it really useful for statistical computing. One really cool library I am trying to use more and more in Julia is the Measurements library [1]. With the multiple dispatch system in Julia its super easy to integrate into most problems and can let you estimate error bounds on values programs produce. Super important for scientific applications.

    I am hoping in the future that I can mix this in with some auto-diff problems to get uncertainty bounds on estimation problems with minimal fiddling with covariance matrices. Right now the performance is the only problem in integrating the library into pretty much any problem :(

    [1] https://github.com/JuliaPhysics/Measurements.jl

What are some alternatives?

When comparing common-lisp-stat and Measurements.jl you can also consider the following projects:

april - The APL programming language (a subset thereof) compiling to Common Lisp.

ITensors.jl - A Julia library for efficient tensor computations and tensor network calculations

cepl - Code Evaluate Play Loop

lisp-stat - Lisp-Stat main system

physical-quantities - A common lisp library that provides a numeric type with optional unit and/or uncertainty for computations with automatic error propagation.

XLS-compat - XLISP-STAT compatibility library

cl-geometry - Common Lisp package for simple two dimensional computational geometry.

FewSpecialFunctions.jl - Few special functions in Julia. Includes Clausen function, Coulomb wave functions, Debye function, Fresnel functions, Struve function, Hypergeometric functions, Confluent hypergeometric functions, Fermi-Dirac

polisher - Infix notation to S-expression (Polish notation) translator for Common Lisp

clem - A matrix library for common lisp

array-operations - Common Lisp library that facilitates working with Common Lisp arrays.