Are you just starting out? I got started with home labbing with a Raspberry Pi 2B (1GB RAM!) and an external HDD I had lying around. I host Yarr, Navidrome, backups and a dashboard app Ive written on there and I am quite satisfied. I would really recommend starting small with hardware you already have and then buy new hardware as you go along. I am also using Tailscale. With this you can get your initial setup up and running in a day and save money if it turns out home labbing isnt for you or you dont really need the hardware.
There is plant-it written in Java and HortusFox written in PHP. Both using MySQL. Is there anything available which is written in Go or Rust and uses SQLite?
Is the posted image from the time the article was published, so 9 years ago?
Dont worry: The more data you share, the better the button becomes
Nice! What prompt and model did you use?
Well thats what backups are for, but may be start with a mirror or with unimportant stuff for at least a year ;) Also proprietary service can delete your data, too. This happens especially when you are using the generous free tier and they decide to make more money. See Evernote, Gitlab, Heroku…
Get a Steam Deck and use any Controller you want ;) (including the corresponding controller glyphs for many games)
Free software as in freedom of speech, not necessarily as in free beer. Maintainers also need to pay the bills.
It is also very resource efficient. I am running it on a Raspberry Pi 2 and it works flawlessly.
Yes, the comment was meant as criticism of the streaming era packaged as a joke
It‘s 2023, you can still listen to the same shitty music, because it is yours to keep.
I use a Raspberry Pi 2 to self host a Dashboard written in Rust (Axum), a RSS reader called yarr and a music streaming server Navidrome. The latter two are written in Go and very resource efficient. The electricity bill should be under a Euro a month (6.4W max power consumption).
I am actually kinda thinking about upgrading to AMD and then using the Intel mainboard as a server :D We will see
Thanks, and good observations. Many countries (Germany and the Netherlands for example) have statistics for every mode of transportation, which as you said is way more informative. I just quickly grabbed the first statistic I could find for the EU to be honest :D
Here is the data for Germany: https://www.umweltbundesamt.de/daten/verkehr/fahrleistungen-verkehrsaufwand-modal-split#undefined
For the Netherlands they have the data split by county which is very interesting. In the bike capital Utrecht still 50% of all passenger kilometers belong to car travel. I cant find the government website right now.
This pattern is true and passenger kilometers represent it just fine. There is no need to use the how often you use the train metric. Note that my two examples were there to explain the metric, not actual factual examples.
As an actual example: I take my bike to work and dont own a car, so my modal split is mostly trains because of longer distance trips, but I use the bike far more often. Frequencies only make sense if each occurrence is very similar (in quantity). For example: How often does one eat meat? Each meal roughly contains the same amount of meat (may be factor two or three difference). Here frequencies make more sense as more detailed statistics dont actually give more insights.
Thanks for your comment. Not wrong in the sense that the data is wrong or faked, but that the metric is not useful. Especially when better metrics are readily available for that region. Can you name me one prediction or result which you can infer from the frequency of train travel other than „fun facts“? (I am actually really curious :) ). With the modal split you can for example calculate CO2 emissions or estimate needed capacity increases if you want to replace one mode with another and much more.
This is the wrong statistic! It doesnt matter how often you take the train, but how far you go. There is something called a passenger kilometer. Someone traveling one kilometer by train makes one passenger kilometer, 6 people on a train going 10 kilometers makes 60 passenger kilometers. The same can be done for other modes of transportation. The modal split (the right statistic) then shows how much each mode of transportation is actually used. Here you can find the statistic for each country of the EU: https://www.eea.europa.eu/data-and-maps/daviz/passenger-transport-modal-split-2#tab-chart_1
A few examples why modal split is better than frequencies:
The project controlled by only one entity can affect users in the future. Moving forward Hashicorp could do anything with the code or licensing and nobody could do anything about it. It is good that something is happening now, when there is still the chance to do it.
Dependency-free doesnt mean they dont have dependencies. Its just that they bundle them all in the executable. When there is a security vulnerability in a library on your Linux system the vendor of your distribution (Canonical, Redhat, SUSE) takes care that it is fixed. All dependent software and libraries are then fixed as well. All I say? Not the ones which have been bundled in the executable. First they need to find out that you are affected and then the maintainer has to update the dependency manually. Often they can only do this after there has been a coordinated release of the fix by the major distributors, which can leave you vulnerable no matter how fast the maintainer is. This is the way it is in Windows. (This was a short summary)