My summer vacation is almost over but for those who follow me a bit on GitHub or PyPi, can see that I haven’t really been sitting still. Today an update on the progress of this project.
Until now I’ve always kept the focus on the Netherlands, because I live there ☺️ But since we go on holiday abroad by car again, I would like to have a map so I know where we can park. After I started adding some open data from Hamburg, I made the decision to also push the boundaries for nipkaart.nl to collect data from all over Europe.
That is why I’m also working on making the platform multilingual, for now there is support for Dutch, English and German. But it’s still a work in progress to translate all the strings. So don’t be surprised if you come across some things in Dutch.
With regard to the datasets, we are now looking for this throughout Europe and writing a separate python package for every city that has a good API on their open data platform. With the idea that it’s accessible for everyone to extend the package and use it for their own projects. This has resulted in the following projects on Github (in about 2 weeks time):
More and more python packages are planned to be made in the future and if you know a good open data platform source, I’d love to hear it.
For the rest I’m mainly busy with, improvements in the background: better indexing of all parking spaces in the local search engine, we try to streamline the data from all those different datasets, I’ve removed a lot of template code and try to make the platform more complete to what users need.
More data on the map
In recent weeks, the following data has been added to the platform:
- Hamburg (DE) – disabled parking spaces and park & rides
- Düsseldorf (DE) – disabled parking spaces
- Brussels (BE) – disabled parking spaces
- Liège (BE) – disabled parking spaces
Updated info modals
The information modals that you see when you click on a location have also been improved. Nice ideas to present data even better in these modals are always welcome.
Nice feature by the way: you can now copy a location ID by clicking on it, so that you can use it elsewhere directly from your clipboard, handy right?
Get in touch
I’m always looking for new datasets of cities that haven’t yet been added. I would therefore like to get in touch with people who work for a municipality in the open data department, to see what the possibilities are and whether we can do something for each other.
contact options: by e-mail (firstname.lastname@example.org) or via a tweet.