sshfs VS active-forks

> It's replaced sshfs for some cases.

I'd been using sshfs for some years until I learned that rclone can mount remotes to the file system, and I've been using that happily since then.

https://rclone.org/commands/rclone_mount/

> at present SSHFS does not have any active, regular contributors, and there are a number of known issues

https://github.com/libfuse/sshfs#development-status

Interesting, I alaways assumed sshfs was part of OpenSSH, learn something new every day.

Also, looks like sshfs used in Slackware is abandoned.

https://github.com/libfuse/sshfs

A quote from the link, I wonder if this project will be the 'one':

>If you would like to take over this project, you are welcome to do so. Please fork it and develop the fork for a while. Once there has been 6 months of reasonable activity, please contact [email protected] and I'll be happy to give you ownership of this repository or replace with a pointer to the fork.

I also wonder if it was abandoned due to the RHEL re-orgs like what happened to bluetooth.

SSHFS offers a solution for connecting to SSH servers through a network filesystem client. Enables users to seamlessly mount remote filesystems, without any server-side requirements. Underknowledge appreciates it "for mounting remote machines."

However, my setup relies on me using sshfs to "mount" a remote directory (which houses the media that jellyfin uses). For jellyfin to have access to this directory, it has to run the command under its user (based on sshfs manpages).

So I need to work with remote files and wondered how people here go about that. I've looked at sshfs, which seems the most obvious way to go and presumably would work fine (?), but it is an archived project; and tried distant.nvim, but that didn't click too well.

As far as I am aware, sshfs is no longer actively maintained.

After getting a bit discouraged since the easy solution failed, I ended up discovering that you can mount a remote filesystem over ssh using sshfs.

2. accessing an app running on a windows through rdp, either as a full desktop or as a standalone window.[1] OK granted you are still using windows in that case, in the background, but you can do that only sporadically by launching a cloud windows vm instance for the small amount of time in a year you definitely need that dirty OS for personnal use.

Obviously YMMV but the barrier is mostly psychological imho.

[1] I think there was a project to facilitate that for office, adobe applications called winapps, see the different active forks here:

https://techgaun.github.io/active-forks/index.html#Fmstrat/w...

there is also this:

I know about https://github.com/techgaun/active-forks, however this "only" shows the time of last activity which is not too bad, but not exactly what I'd like to have, since this provides no indication on the (possible) progress of the project (if one could measure progress in units of commits)...

I stumbled upon this tool: https://github.com/techgaun/active-forks. But it didn't help, it didn't work on my repo.

It is abandoned for 4 years, found most active fork(nice tool) of this, which is up to date and have cutting edge tools awesome-foss/awesome-sysadmin

Chrome: Bookmark any page > Click More > (change name) and paste code from https://github.com/techgaun/active-forks into URL section > Save

mentat was archived by mozilla back in 2017, but there are a bunch of forks. Because github is dumb and has a terrible interface for exploring forks [0], I used the Active GitHub Forks tool [1] that helped to find:

qpdb/mentat [2] seems to be the largest (+131 commits) and most recently modified (May this year) fork of mozilla/mentat.

[0]: https://github.com/mozilla/mentat/network/members - Seriously, how am I supposed to use this? Hundreds of entries, but no counts for stars, contributors, or commits, no details about recent commits. Just click every one?

[1]: https://techgaun.github.io/active-forks/index.html

[2]: https://github.com/qpdb/mentat

Yeah, there is this tool: https://techgaun.github.io/active-forks/index.html

I'm really surprised Github doesn't leverage their data for better discovery. Instead you get forks that are second-class citizens and should never be used for active development. For example, they don't get watched by default and their code is not searchable.