6 posts tagged with "visualisation"

Pydot is a diagram as code generator i.e. you write lines of code and thanks to a magic process, you can render the code as an image.

For guys just like me who are terrible at visuals, this is gold.

Let's say you have to describe an IT process such as ETL (data is loaded, one or other transformation rule is applied and the result is loaded into a database, for example), you can easily imagine to draw some rectangles using a tool like https://app.diagrams.net/ (formerly known as draw.io) or use a smarter way to do it.

Let's see how in this article.

In my RSS feed recently, I came across another great application that lets you create a database model from scratch, i.e. create tables one by one and create the links between them.

However, there's another option that I find really nice: you can get a visual of the tables and relationships of any existing application in a few seconds from an .sql file that you import into drawdb-app.

Let's take a quick look at how it works.

Imagine you to have a very big docker-compose.yml file with a lot of services and dependencies.

You've too multiple exposed ports.

You'd like to have an at-a-glance view of services, dependencies and open ports. Is this possible? Yes! https://github.com/compose-viz/compose-viz do the magic for us.

https://jsoncrack.com/editor

I really like the idea of not having to draw (actually, that is just because I am really bad at it) a diagram, a flow chart, a graphic representation of something that ... can be written.

Json crack is one of the tools in my toolkit when I want to draw something that can be written in json.

As a markdown lover, I always enjoy finding a little tool that lets me write a text and have it converted into another format.

For this article, we're going to write, in plain text, a mind map, which means that our text will be converted into a mind map image.

But what a joy it is to be able to draw diagrams by, well, just writing text. Some tools are better known than others, e.g. Mermaid.

Did you know https://diagrams.mingrammer.com/? Let's explore it using, of course, a Docker ready-to-use image.