The last implementation step ahead of us is actually placing the locations on the main QGIS canvas. This might seem like a lot of work but is actually the easiest part of our plugin. Word of advice: you might be tempted to create a Python package named qgis in your code. It is highly not…

We now have a “sort of working” implementation but we still have a lot of work ahead of us as the implementation is far from being functional and usable by others. Form Validation First of all, we would like to tell the user that both text fields are mandatory. We can do this by enabling…

Now that we have an UI and are able to respond to user actions, it is now the time to integrate our Geoapify client into the plugin code. The Geoapify client consists of one simple method: This is the output we get for a prompt Abbey Road, London, United Kingdom: This is actually only the…

So far, so good. We’re now able to install our freshly created plugin to the local QGIS installation using one simple command. We can also enable the plugin in QGIS and see that it was activated. First of all, we need to design an user interface. This is best done using QT Designer. Let’s go…

After making the required preparations, we can start creating the plugin prototype with one of these options: 1. Develop the plugin on greenfield and bite your way through on your own You could start right away on the greenfield with the help of the official QGIS Developer documentation. This path might be a very good…

If you want to develop a plugin, it is highly recommended to know basic programming in Python and a good knowledge of the git version control system. There are also quite a few things to install and set up before you can comfortably work on your first plugin. These are the main tools you will…