docker-languagetool VS Invidious

LanguageTool itself is open source (basic features). I'm running it in a Docker container.

For developers who already have Docker running on their machine. I can strongly recommend running it locally with e.g. Docker Compose.

Safes effort with maintaining an installation and keeping the background process running. Plus, it also works when network connectivity drops.

https://github.com/Erikvl87/docker-languagetool/blob/master/...

Following, you can see my personal docker-compose.yml, which you can use as a reference. For a more detailed description, you can look at the image description erikvl87/languagetool.

I was already used to wiggly lines in my favorite IDE IntelliJ and really missed the spell and grammar check capabilities in other editors especially when writing something in the browser. A colleague told me that IntelliJ is using LanguageTool since I'm pretty satisfied with the analysis inside it. Therefore, I looked around on GitHub for a way of hosting my own LanguageTool server. I came across this repository and decided to give it a go and run it on my Linux server.

It's great, I've been running the self-hosted version for a few months now. I run it using a container[0] on a $10/mo Digital Ocean VPS using Dokku[1]. The main downside is that it's a bit of a memory hog, possible because it's written in Java? Otherwise, I haven't had to mess with it after the initial set up. I like that I'm not sending everything I write to another 3rd party service I don't control.

As for the plugin, it definitely catches more issues than the stock browser spellchecks. The main issue I have with it (maybe someone can point me in the right direction) is that it always tries to autodetect the language. This is fine for longer texts, but often fails on shorter strings like headlines. This leaves my words highlighted red because it thinks I'm writing bad German, or Swedish (which is fair). I haven't been able to figure out how to force it to only use US English.

[0]: https://hub.docker.com/r/erikvl87/languagetool

https://github.com/Erikvl87/docker-languagetool became my daily tool

The entire proof reading engine can be run either through their Java server or in a docker image. Java Docker Another Docker Repo

I have been using this docker version without any issues: https://github.com/Erikvl87/docker-languagetool

Youtube seems to be doing some A/B testing with the comment system which has made proxies like Invidious and yt-dlp/Newpipe unable to load comments. There is a patch for Invidious [1] which solves this problem but it is not in master yet. I tested it on my own instance and it does solve the problem.

[1] https://github.com/iv-org/invidious/pull/4576

BTW, I don't understand the workaround: https://github.com/iv-org/invidious/pull/4552/files

Which was taken from here: https://github.com/LuanRT/YouTube.js/pull/624

Could anybody explain it to me?

Use a Youtube proxy like Invidious [1], problem solved and you get to subscribe to channels without telling the Beast about your interests. Add Sponsorblock (which supports Invidious) to get rid of any in-stream advertising which remains and you'll be transported back to those hallowed times of yore when men were men, women were women and advertising was something you found in newspapers. Youtube will try to make this harder just like Xitter is trying to make it harder to use proxies like Nitter [2].

[1] https://github.com/iv-org/invidious

[2] https://github.com/zedeus/nitter

Going to drop this here for others who haven't heard of it https://invidious.io/

Now, how do we fix this? YouTube's ad model sucks. Their algorithm sucks. Their front page sucks. They've captured a bunch of creators though so often YouTube is the only place you can find someone.

I want those creators to benefit from me viewing their videos. I want the fact that I view a video and like it to help other people find that video in their recommendations. I want an algorithm that shows me things that are interesting and relevant not one that promotes the spammiest and most ad heavy videos that barely have anything to do with my watch history.

Having an alternative front end is nice but I don't want to rob YouTube of the money they spend on hosting the videos.

So, how do we do this?

Peer to peer fails when there is little interest in something or when most people leech and it sucks for archiving old content.

Hosting it all in one place is super expensive and hard for a small group to manage without turning into YouTube.

Maybe we could find a way for the creators to host their own content and get paid when people view it while being part of a large federated network for easy discoverability?

Please list any projects you know of, I'm sure there are a lot of people here who would be willing to contribute or donate.

Sometimes a half-solution will do, like Invidious or Piped.

[0] https://invidious.io/

[1] https://github.com/TeamPiped/Piped