Franklin.jl
MeshCat.jl
Our great sponsors
| Franklin.jl | MeshCat.jl | |
|---|---|---|
| 5 | 2 | |
| 924 | 227 | |
| - | - | |
| 6.6 | 5.8 | |
| 4 days ago | about 1 month ago | |
| Julia | Julia | |
| MIT License | 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.
Franklin.jl
-
Math on GitHub: Following Up
A few weeks ago I discovered Franklin.jl ([0], [1]). It has direct KaTeX support and I've been pleased with the results. There is no need for adding or tweaking things unlike Jekyll or Hugo. And KaTeX is faster than MathJax in general.
- Building Static Websites in Julia
- Franklin: A static site generator in Julia
- Crash Course Category Theory – C3T
-
Dataflowr – Deep Learning DIY
Awesome resource
The website is built in julia with https://github.com/tlienart/Franklin.jl, Cool!
Would be interesting to have it teach DL in Julia as well.
MeshCat.jl
- Meshcat.jl: Julia bindings to the MeshCat WebGL viewer
-
program to visualise 3D dynamic simulation?
https://github.com/rdeits/meshcat https://github.com/rdeits/meshcat-python https://github.com/rdeits/MeshCat.jl
What are some alternatives?
Weave.jl - Scientific reports/literate programming for Julia
Makie.jl - Interactive data visualizations and plotting in Julia
meshcat - Remotely-controllable 3D viewer, built on top of three.js
fastbook - The fastai book, published as Jupyter Notebooks
StatsWithJuliaBook
Plots.jl - Powerful convenience for Julia visualizations and data analysis
meshcat-python - WebGL-based 3D visualizer for Python
cocalc - CoCalc: Collaborative Calculation in the Cloud
julia - The Julia Programming Language
personal-site - A personal site about software development
RobustModels.jl - A Julia package for robust regressions using M-estimators and quantile regressions