NumericalAlgorithms.jl
JuMP.jl
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| NumericalAlgorithms.jl | JuMP.jl | |
|---|---|---|
| 9 | 3 | |
| 12 | 2,128 | |
| - | 1.2% | |
| 0.0 | 9.3 | |
| over 1 year ago | 1 day ago | |
| Julia | Julia | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
NumericalAlgorithms.jl
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Tracking mentions began in Dec 2020.
JuMP.jl
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Optimization
JuMP.jl is my personal go-to when solving "big" optimization problems in Julia (maybe it's overkill for your application).
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Multiple dispatch: Common Lisp vs Julia
A 100+ contributor project
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Julia macros
Macros are very useful if you want to create Domain Specific Languages (DSLs), see https://github.com/jump-dev/JuMP.jl or if you want to transpile a subset of Julia to another language or say GPU code.
What are some alternatives?
Catalyst.jl - Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
rebop - Fast stochastic simulator for chemical reaction networks
TypeDBClient.jl - A client interface to read from and write to the TypeDB Knowledge Graph
Tumble.jl - lazy predictive modeling for julia
ComponentArrays.jl - Arrays with arbitrarily nested named components.
ConstructiveGeometry.jl - Algorithms and syntax for building CSG objects within Julia.
MuladdMacro.jl - This package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem
OnlineStats.jl - ⚡ Single-pass algorithms for statistics
OMLT - Represent trained machine learning models as Pyomo optimization formulations
LaTeXDatax.jl - Julia plugin for the datax LaTeX package
CoherentNoise.jl - A comprehensive suite of coherent noise algorithms and composable tools for manipulating them.