PlutoUI.jl VS Genie.jl

Pluto notebooks are distinct from Jupyter notebooks in that they are reactive: https://github.com/JuliaPluto/PlutoUI.jl

An easy alternative is using a Pluto notebook with PlutoUI.jl. You can create input fields, sliders, check boxes, etc in a very easy way. It’s an easy and fast way to create a simple GUI.

ubuntu@vm1:~$ curl -fsSL https://install.julialang.org | sh - info: downloading installer Welcome to Julia! This will download and install the official Julia Language distribution and its version manager Juliaup. Juliaup will be installed into the Juliaup home directory, located at: /home/ubuntu/.juliaup The julia, juliaup and other commands will be added to Juliaup bin directory, located at: /home/ubuntu/.juliaup/bin This path will then be added to your PATH environment variable by modifying the profile files located at: /home/ubuntu/.bashrc /home/ubuntu/.profile Julia will look for a new version of Juliaup itself every 1440 seconds when you start julia. You can uninstall at any time with juliaup self uninstall and these changes will be reverted. ✔ Do you want to install with these default configuration choices? · Proceed with installation Now installing Juliaup Installing Julia 1.7.2+0 (x64). Julia was successfully installed on your system. Depending on which shell you are using, run one of the following commands to reload the the PATH environment variable: . /home/ubuntu/.bashrc . /home/ubuntu/.profile pkg> add https://github.com/JuliaPluto/PlutoUI.jl Cloning git-repo `[https://github.com/JuliaPluto/PlutoUI.jl`](https://github.com/JuliaPluto/PlutoUI.jl`) Updating git-repo `[https://github.com/JuliaPluto/PlutoUI.jl`](https://github.com/JuliaPluto/PlutoUI.jl`) Resolving package versions... Installed Reexport ─────────────── v1.2.2 Installed IOCapture ────────────── v0.2.2 Installed AbstractPlutoDingetjes ─ v1.1.4 Installed JSON ─────────────────── v0.21.3 Installed Hyperscript ──────────── v0.0.4 Installed FixedPointNumbers ────── v0.8.4 Installed HypertextLiteral ─────── v0.9.3 Installed Parsers ──────────────── v2.3.0 Installed ColorTypes ───────────── v0.11.0 Updating `~/.julia/environments/v1.7/Project.toml` [7f904dfe] + PlutoUI v0.7.38 `[https://github.com/JuliaPluto/PlutoUI.jl#main`](https://github.com/JuliaPluto/PlutoUI.jl#main`) Updating `~/.julia/environments/v1.7/Manifest.toml` [6e696c72] + AbstractPlutoDingetjes v1.1.4 [3da002f7] + ColorTypes v0.11.0 [53c48c17] + FixedPointNumbers v0.8.4 [47d2ed2b] + Hyperscript v0.0.4 [ac1192a8] + HypertextLiteral v0.9.3 [b5f81e59] + IOCapture v0.2.2 [682c06a0] + JSON v0.21.3 [69de0a69] + Parsers v2.3.0 [7f904dfe] + PlutoUI v0.7.38 `[https://github.com/JuliaPluto/PlutoUI.jl#main`](https://github.com/JuliaPluto/PlutoUI.jl#main`) [189a3867] + Reexport v1.2.2 [a63ad114] + Mmap [2f01184e] + SparseArrays [10745b16] + Statistics Precompiling project... 10 dependencies successfully precompiled in 23 seconds (24 already precompiled)

I realize that, and there may be no rational reason for you to switch to a setup like mine. But, aside from avoiding such things a Wordpress exploits, my approach turned out to have other advantages. Over the years I added to my knowledge and taught myself how to provide things other than static files. Today my readers can use gnuplot in a Jupyter notebook, and interactive Pluto¹ notebooks backed by Julia running on a VPS. No canned solution exists for this, and in fact I had to work with the Pluto developers to iron out some kinks. This is only possible because I have total control over the servers. If you know will only ever want to serve static files, there are simpler options (with potential pitfalls). But those options are also limiting, in case one day you want to do something unusual.

[1] https://github.com/JuliaPluto/PlutoUI.jl

When you are using Pluto (https://github.com/fonsp/Pluto.jl ) instead of Juypter you can very easily combine plots with reactive UI elements (like sliders, selectors, etc. - see https://github.com/fonsp/PlutoUI.jl ) to allow interactive exploration of data.

The only thing I think really isn't covered is PlutoUI (https://github.com/fonsp/PlutoUI.jl), which you can find in a sample notebook in Pluto.

Julia seems to be doing a better job catching up to R in this space than Python. I haven't used it personally, but the demos of Genie Framework are impressive: https://github.com/GenieFramework/Genie.jl / https://genieframework.com/

Hi everyone! I’m Adrian, co-founder of Genie Cloud. Genie Cloud is the no-code platform to quickly build & deploy Julia web apps. It is designed for R&D and data science teams using Julia, who need to share their work with interactive web apps.

Genie Cloud is very simple: import (or write) the Julia code, build the GUI with the drag & drop editor, and deploy the apps in one-click. No frontend code, server stack or hosting to worry about. With Genie Cloud you can build anything, from interactive dashboards to ML demos to production-grade apps.

Genie Cloud is built on top of the open source Genie Framework (https://genieframework.com/), the most popular Julia web framework (I’m also the creator and maintainer of Genie Framework).

At the moment we are in private beta. You can learn more and sign up to get access here: https://www.geniecloud.io/. Looking forward to your thoughts and questions!

I used Julia through my PhD but then started working at a consulting company and had to use Python except for few proof of concepts I built in Julia. Luckily for me, now I'm working at Genie so I finally get to use Julia professionally :)

Have you checked https://genieframework.com/? It's the most popular web dev framework in Julia.

Hi! Genie Builder is a free VSCode plugin that makes it easy to build web GUIs for Julia applications (and in future, Python apps too). Users can simply drag & drop UI elements to create interactive dashboards and data apps, without writing any frontend code.

The tool is designed for data scientists and researchers who need to expose their data models to business users with an interactive web application, but lack the software development skills to build one.

Genie Builder completely eliminates the need to learn frontend development to code the UI. And very soon, we’re also going to support one-click cloud deployments to make it easy to build AND deploy data apps - no frontend nor devops skills required.

I’m Adrian, the creator of the open-source Genie web framework ([https://genieframework.com/](https://genieframework.com/)). Genie offers low-code libraries for building data applications - just like Streamlit or Dash, but for JuliaLang. We developed Genie Builder because of feedback from our open source community who needs more productive data tooling.

Yep, I'm a PHP dev and often do simple JS/jQuery to support my backend code. I have a very general interest in data science and embedded programming, meaning one day I might start doing something with them, but for now, I'm interested in those languages for web development. The following frameworks were especially interesting

Go: https://github.com/gin-gonic/gin

Rust: https://rocket.rs/

Julia: https://genieframework.com/

Check Genie. They're working on an app builder called Genie Cloud.