mataroa VS PlutoUI.jl

I love Mataroa: https://mataroa.blog

I jumped from WordPress to Mataroa and I'm also using Jekyll, Hugo, Zola, and Obsidian to blog.

There are a lot of great things about Mataroa that I love. I've blogged about Mataroa: https://pivic.blog/blog/mataroa/

Same for me, too.

I honestly love https://mataroa.blog it ended my paralysis for searching a blog platform, and every page is bog standard HTML. It accepts Markdown, plus it has its own anonymous analytics, so it's nice.

git clone https://github.com/mataroa-blog/mataroa.git

https://blog.bayindirh.io

It's a semi-regular, assorted blog about my adventures and experiences in life. Generally semi-focused on minimalism, computers and life in general.

It's powered by https://mataroa.blog/, which is very minimal and a joy to use.

I'm using Mataroa[0] as my blogging platform and it comes with its own analytics. It's very simple, and gives me the following:

- Read counts per post, for the last 30 days.

- How many RSS pulls, for the last 30 days.

- How many site visits, for the last 30 days.

Nothing more, nothing less. I'm pretty happy with them, and have no intention to change it.

[0]: https://mataroa.blog

Already in use.

Until this is fixed, anyone would be much better off going for Bear Blog [2] or Mataroa [3].

[1]: https://nicheless.blog/post/learn-one-thing-well

[2]: https://bearblog.dev/

[3]: https://mataroa.blog/

https://smol.pub and https://mataroa.blog are also nice examples. I host my blog in Mataroa, and love the experience so far.

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.