Meshes.jl
ConstructiveGeometry.jl
Meshes.jl | ConstructiveGeometry.jl | |
---|---|---|
2 | 1 | |
359 | 50 | |
1.9% | - | |
9.3 | 3.5 | |
7 days ago | 9 months ago | |
Julia | Julia | |
GNU General Public License v3.0 or later | MIT License |
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.
Meshes.jl
-
Geospatial Data Science with Julia
So in other Julia geometry-related projects that may be true, but for this particular corner of the ecosystem the main author (JĂșlio Hoffimann) has actually implemented much of the underlyin code from scratch (to the best of my understanding) in pure Julia in a whole set of packages, including
https://github.com/JuliaGeometry/Meshes.jl
-
How to Pull Vertices and Faces from an OBJ file
Importing meshes in Julia is a little funky right now. When using MeshIO you get a mesh type from GeometryBasics.jl, but the best package for doing mesh things is Meshes.jl, so I advise to use this little package MeshBridge.jl to convert to a Meshes type. Then you can just do
ConstructiveGeometry.jl
-
Replacement handle for broken IKEA Glypen faucet
This thing is a bit special for me however, since it is the first part designed using the CAD library I am writing as a Julia package: https://github.com/plut/ConstructiveGeometry.jl .
What are some alternatives?
nlopt - library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
PointPatterns.jl - Point patterns for the GeoStats.jl framework
DifferentialEquations.jl - Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
GeoStatsBase.jl - Base package for the GeoStats.jl framework
Descartes.jl - Software Defined Solid Modeling
MeshViz.jl - Makie.jl recipes for visualization of Meshes.jl
Plots.jl - Powerful convenience for Julia visualizations and data analysis
Rotations.jl - Julia implementations for different rotation parameterizations
julia - The Julia Programming Language
MeshBridge.jl
Makie.jl - Interactive data visualizations and plotting in Julia