Matte is a julia library for julia-powered dashboards, inspired by Google's material design. Matte makes it easy to convert your existing julia code into a beautiful and powerful dashboard for end users.
Please note: Matte is still highly experimental.
(NB: Examples are temporarily hosted, and may not be available from time-to-time).
To install the latest release run the following from the Pkg repl (type ] to get there):
pkg> add Matte
You can install the latest development version by running:
pkg> add https://github.com/angusmoore/Matte.jl.git
Matte comes with some example apps. Let's create and run one of the examples:
julia> matte_example("hello_world", "hello_world")
Matte will create a new folder and julia project at your chosen path and create all the files for the example. Matte will change your working directory and activate the project.
Let's run the app.
But before we do: a note about Revise. I highly recommend using Revise with Matte. This lets you edit your app and see the changes immediately, without having to restart your app. Revise is included by default when you create a new Matte app, so all we need to do is:
julia> using Revise
Back to our app.
To run the app, we need to first load Matte, and then load our module MyApp:
julia> using Matte
julia> includet("app.jl")
(Note that I use includet from Revise, to track changes to the file. If you aren't using
Revise, just use include. But you should definitely use Revise!)
All we need to do now is run our app. We do this using the Matte function run_app, which
takes the module that defines our app as argument:
julia> run_app(HelloWorldApp)
Matte will take a little while to start. Your app is up and running once you see:
Web Server starting at http://127.0.0.1:8000
Navigate your favourite web browser to the address listed above and (after a few seconds) viola! Your app is ready!
General support for help with usage and troubleshooting is best directed to the julialang discourse.
Please report any bugs you find on the github issue tracker.
Matte is made possible by a range of excellent julia and javascript open source libraries. Of particular note: Genie.jl, Vuetify and Vue.js.