Full stack developer and privacy advocate. I like to keep the mentality, if you can program one language well, then you can program in any language!
Suyu is the most popular + actively developed afaik.
https://suyu.dev/
They host their code on their own Forgejo instance:
https://git.suyu.dev/explore/repos
Which is more DMCA proof then Github/Gitlab.
I hope ForgeFed will go into production soon,
then we can synchronize the code in between multiple Forgejo instances in a federated fashion.
https://codeberg.org/forgejo/forgejo/issues/59
Wikiless?
The original project was taken down by Wikipedia, but this appears to be an active fork of it:
https://github.com/Metastem/wikiless
Yes that is the actual site.
LuckyPatcher has been around forever,
and has a good reputation + community.
Never seen anyone mention anything that it might contain malicious code.
The developer receives revenue through donations and showing ads on the site.
Sadly the project is not open source though.
My guess would be to prevent the hacks / patches it uses,
from being patched / made un-usable.
To be 100% sure though,
you’d have to de-compile the app,
and reverse engineer the source code,
which is a very tedious and time consuming task.
2 issues I have with this:
I’d consider taking another ISP,
you know, just one who is not known for using you as a product and shoving spyware into every nook and cranny they can find…
Nice try CloudFlare,
but I’m still picking Quad9 any day over you:
Take a look for yourself with a rooted phone.
Blocker will show you all the recievers/services/activities/providers the app uses,
and will allow you to block them.
https://github.com/lihenggui/blocker
Apps often still work correctly with about 80-90% of their recievers/services/providers blocked, since they’re spyware, which doesn’t add functionality to the app.
XPrivacyLua will allow you to lie to apps when they request sensitive data.
Aditionally it will show you timestamps of what it lied about, to which apps, reveiling what they try to collect on you.
https://github.com/M66B/XPrivacyLua
ClassyShark3xodus allows you to decompile and scan apps on the fly,
to check which well known trackers are embedded into it.
https://bitbucket.org/oF2pks/fdroid-classyshark3xodus
Idk if these apps still do it,
since I have not used them for years,
but that’s how I learned about many things like:
Not on my machine. Or at least, I do everything humanly possible to limit it.
Either through:
I don’t expect everyone to become a privacy expert though.
However I do believe systematic privacy is important, and that we should aim for better privacy laws to keep the intellectual property of the average user safe.
Now they can also train their gray area trained model (trained upon our Github projects without consolidating with us if it was alright to do so) further!
By spying on every command you type in your CLI, and phoning home to MS about it, to train it further.
I guarantee you,
If you use it, you’ll be their free training monkey.
And once they used you for free,
and the product improved enough,
they’ll subscription charge you forever to make use of it.
I switched to LibreWolf after I learned that Waterfox was/is ran by an advertisement company.
Today they should be independant again, however my trust in them is forever lost.
I like and been using JetBrains IDEs for years now,
and am/was happily paying for a good product.
However I feel like they’ve been going backwards in the last year or 2,
it feels less premium,
and more like your a paying beta tester,
since lately I deal with bugs in their IDEs too often to my liking.
But this news kinda scares me,
usually if something is free,
then you are the product,
paying with your data.
Which I can see happen to these IDEs now :/
Especially in this day and age where massive data collection by big tech is sadly normalized, and where coding data likely is wanted to be trained upon by AI companies with the current ongoing hype bubble and all.
If that would start to happen to JetBrains products, I fear for enshitiffication in the forms of:
And further once the AI bubble pops,
which will lead to less demand for data,
since there will be less companies.