Selfhosted

MediaWolf – A Missing Piece for the Arr Stack, Open for Contributors

Hey lemming self-hosters,

I came across MediaWolf recently and wanted to share it here. It’s an open-source project that’s tackling a big gap in the media automation space. If you use Radarr, Sonarr, Lidarr, Readarr, or any part of the Arr stack, you know how powerful they are for managing and downloading media. But despite how great they are individually, they don’t always work together as smoothly as they could.

That’s where MediaWolf comes in. It’s designed to tie everything together... acting as a discovery hub, recommendation engine, and management tool to help you find, organize, and automate your media library across multiple services. Instead of manually juggling requests between different apps, MediaWolf aims to make it all feel more seamless.

Why Does This Matter?

Right now, if you want to add a new movie or TV show, you probably:

Search for it manually across different Arr services

Check which quality profiles or indexers work best for that media type

Figure out if it's already available somewhere in your library

Manually add it to the right service

With MediaWolf, the idea is to bring everything under one roof... a central place to discover, recommend, and manage media without bouncing between multiple dashboards. Think of it as a missing bridge between the different pieces of your media automation setup.

The Project Needs Contributors

The creator, TheWickedWolf, recently posted on Reddit looking for developers to help bring MediaWolf to life. The project is already in motion, but for it to really thrive, it needs more people involved. Since it’s built in a modular way, you don’t have to commit to the entire project, just focus on a specific part that interests you.

New features? There’s room for innovation.

Bug fixes and improvements? Always welcome.

UI/UX enhancements? Could use some polish.

Open-Source and Accepting PRs

If you’re into media automation, open-source development, or just want to help improve how the Arr stack works together, this is a great project to check out. The team is actively accepting pull requests, and the creator is open to adding new contributors.

Repo: GitHub – MediaWolf

If you've ever wanted a smarter, more integrated way to work with the Arr stack, this might be it.

Dawarich is a Self-Hosted Location History Tracker (similar to the Google maps one)

Looks like this update includes improvements to the functionality for checking when you visited a place

I want a private place where I can talk to specific people.

I'd imagine I want something like:

• By default, nobody can register a new account on my server
• By default, nobody can view or join the rooms on my server
• If a friend has an account on a different matrix server, I can invite them to mine

I probably want some kind of federation with other instances (eg, where my friends might register their accounts), but not some free-for-all. Can someone recommend the right settings? The server is running synapse.

Given the recent news about Plex soon charging for remote access, I wanted to finish up my switch to Jellyfin.

What tools/methods have you all used to migrate watch history to Jellyfin?

I have a few family members in there, and would like to get everything switched over without resetting their watch history.

Hello there, I would like to upgrade my setup from a Raspberry PI 5 to something more capable of running Jellyfin properly. I also plan to host stuff like Nextcloud and some other small services.

The problem is I don't know anything about choosing hardware. I've tried reading online about this stuff and come across many recommendations to buy an NUC, not knowing I would have to purchase every component individually.

I would like your comments on the setup I currently have:

• NUC Type: ASUS NUC 14 Pro Kit (RNUC14RVKI300000I)
• Operating System - Still haven't decided yet, probably something easy like Ubuntu server
• CPU - Intel® Core™ 3 100U Processor
• Chipset - Integrated
• Graphics - Integrated - Intel® Graphics (C3)
• Memory - Adata 8GB DDR5 4800MHz CL40 SO-DIMM
• Storage - Western Digital Green SN350 1TB SSD M.2 2280 PCIe NVMe WDS100T3G0C
• LAN - Intel®, 2.5G LAN

cross-posted from: https://lemmy.world/post/27088416

This is an update to a previous post found at https://lemmy.world/post/27013201

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Ollama uses the AMD ROCm library which works well with many AMD GPUs not listed as compatible by forcing an LLVM target.

The original Ollama documentation is wrong as the following can not be set for individual GPUs, only all or none, as shown at github.com/ollama/ollama/issues/8473

AMD GPU issue fix

1. Check your GPU is not already listed as compatibility at github.com/ollama/ollama/blob/main/docs/gpu.md#linux-support
2. Edit the Ollama service file. This uses the text editor set in the $SYSTEMD_EDITOR environment variable.

sudo systemctl edit ollama.service

3. Add the following, save and exit. You can try different versions as shown at github.com/ollama/ollama/blob/main/docs/gpu.md#overrides-on-linux

[Service]
Environment="HSA_OVERRIDE_GFX_VERSION=10.3.0"

4. Restart the Ollama service.

sudo systemctl restart ollama

This is a fork of the original project that is way ahead now.

I am setting up nextcloud AIO in a podman container on my VPS. After some struggle, I got to the installation page, but domain checking is simply not working out.

After looking up, I decided to check the port from host machine. Strangely, curl localhost:11000 hangs indefinitely. nextcloud-aio-domaincheck container is running, and it mapped port as 0.0.0.0:11000->11000/tcp. The domaincheck server should be reachable, and I don't think firewall would be preventing localhost access.. The single line log from domaincheck container is:

2025-03-20 13:47:43: (../src/server.c.1939) server started (lighttpd/1.4.76)

I am utterly lost here. Does anyone know what would be possible reasons, and how to troubleshoot the issue? Any pointers would be greatly appreciated. Thank you in advance!

I've searched around and can't find this but it seems like someone must have created this already. I am hoping to find a self-hosted image resizer app. I frequently need to take photos from my phone (etc...) and make them small enough to post online.

For instance, my lemmy instance (lemm.ee) only allows images in posts if they are smaller than 500KB but my phone's photos are always larger than that.

In a perfect world, I could just browse to a local server app, upload an image, select a size to resize it to, hit Go and then download the smaller image. It doesn't have to allow any other editing and it shouldn't store images long-term. I want to self-host so I don't have to upload my images to random web sites I know nothing about.

I would be happy with a FOSS desktop app I can install in linux too, but then I couldn't access it from my phone. The Android apps I found for this either look scammy or include tons of ads.

Anyone know of such a thing? Thanks!

EDIT - UPDATE:

Thank you for the great suggestions. I've installed Image Toolbox on my Android phone and that looks great. It both has a ton of tools but also makes this resizing task very straightforward. Not sure how I never found that before.

But for my desktop, I started writing a PHP app to run in my existing nginx web server. It runs the suggested ffmpeg command under the hood, and since I am the only user on this server, this works very well for me.

That's working now so I am going to tweak a few things and then use it for a while. (Before anyone asks, I started based on the Python recs here, but couldn't get it working (PIP couldn't add Flask because PIP couldn't find PIP???) and so switched to PHP since my local server was already using that from another home-made app. This (PHP) was not as hard as I was afraid it would be, with help from Duck Duck Go's AI chat bot.

I used my php app to shrink this file!

Thank y'all - this is resolved now.

We are also changing how remote playback works for streaming personal media (that is, playback when not on the same local network as the server). The reality is that we need more resources to continue putting forth the best personal media experience, and as a result, we will no longer offer remote playback as a free feature. This—alongside the new Plex Pass pricing—will help provide those resources. This change will apply to the future release of our new Plex experience for mobile and other platforms.

I’ve been experimenting with building and deploying ML and LLM projects for a while now, and honestly, it’s been a journey.

I had a really good conversation with Dean Pleban (CEO @ DAGsHub which is built on chromaDB and other OSS), who shared some great practical insights based on his own experience helping teams go from experiments to real-world production.

Sharing here what he shared with me, and what I experienced myself -

Data matters way more than I thought. Initially, I focused a lot on model architectures and less on the quality of my data pipelines. Production performance heavily depends on robust data handling—things like proper data versioning, monitoring, and governance can save you a lot of headaches. This becomes way more important when your toy-project becomes a collaborative project with others.

LLMs need their own rules. Working with large language models introduced challenges I wasn’t fully prepared for—like hallucinations, biases, and the resource demands. Dean suggested frameworks like RAES (Robustness, Alignment, Efficiency, Safety) to help tackle these issues, and it’s something I’m actively trying out now. He also mentioned “LLM as a judge” which seems to be a concept that is getting a lot of attention recently.

Some practical tips Dean shared with me:

Save chain of thought output (the output text in reasoning models) - you never know when you might need it. This sometimes require using the verbos parameter.

Log experiments thoroughly (parameters, hyper-parameters, models used, data-versioning…).

Start with a Jupyter notebook, but move to production-grade tooling (all tools mentioned in the guide bellow 👇🏻)

To help myself (and hopefully others) visualize and internalize these lessons, I created a guide that breaks down how successful ML/LLM projects are structured. If you’re curious, you can explore it here -

I MARKED the OSS ones!

https://www.readyforagents.com/resources/llm-projects-structure

Following a suggestion i saw last day on a post here i have installed AList (https://alist.nn.ci/) and... guys it rocks!

It is file manager, both browser and WbDAV based. It can be configured with a ton of storages, so you can merge local and remote shares in the same place... You can use LDAP, OIDC and local authentication... WebDAV just works without hassle or fuss...

Moreover it's a chinese project and i got rolling over more than once trying to decypher the pseudo-english documentation.

Very easy to install too..

As usual, here is my wiki page: https://wiki.gardiol.org/doku.php?id=services%3Aalist

Hi, I'm fairly new to the self-hosted universe but I like the idea of self-hosting media (I've looked at Jellyfin and Plex). But as I understand this requires quite some money and a lot of work. I don't think it's worth it if I put in all that effort just for myself but I'd love to build a small private streaming between me and my friends. We used to share and swap blu-rays after all, so it would be cool to build a shared collection.

My question is if that's possible and if anyone has experience with this? I've read that Jellyfin and Plex are meant as home-media-servers and I'm not sure what limitations that implies. Can people access the library from outside networks and will that affect the streaming quality/speed? What specs would the server need to ensure it can handle a bunch of users? Is there a software that is better suited for this use-case?

Thanks in advance for any help!

cross-posted from: https://lemmy.world/post/27031457

CrowdSec "Community"

CrowdSec "Community" offering only gets worse and worse!

First, they had raised a paywall around querying details on IP addresses that triggered Alerts. Only 30 queries per week for the "Community".

Now, they have extended that paywall to cover the whole Alerts feature! Only 500 alerts per month for the "Community"!

Enshitification meets cybersecurity!

I am actually tried the different matrix variants. Conduit is my favourite. But I can't figure out how to setup a bridge with it.

I started with telegram. The appservice is registered and mautrix container logs are clean. I even can talk to the telegrambot but login isn't possible (since 2023) but what's the alternative? Really lost at this point.

Discord was already succumbing to enshitification. Now with their intention to be owned by Wall Street, that trajectory will certainly accelerate at warp speed once the change of hands happens.

Anyone already get ahead of this and find a solid alternative?

Right now I'm on the fence between Element for Matrix, and Revolt. Both seem to have their pros and cons and I can't find a clear "winner".

cross-posted from: https://lemmy.world/post/27036657

Hey everyone,

I’ve been using Linode for a long time and have always been happy with their service. The performance is solid, and their tech support has been great whenever I’ve needed help. However, I’ve started to feel the pinch with their pricing—it’s definitely on the expensive side.

Recently, I decided to try out Hostinger’s VPS offering to spin up a Bluesky PDS and see how it compares. So far, I’ve had a good experience with their tech support as well, but I’m curious about the bigger picture.

Has anyone here used both Linode and Hostinger VPS? If so, how do they compare in terms of:

• Performance (CPU, RAM, disk speed, etc.)
• Uptime and reliability
• Ease of use (control panel, setup, etc.)
• Value for money

I’m especially curious about how Hostinger manages to charge so much less than Linode. Is there a catch, or is it just a different business model? If you’ve used both, do you think Hostinger is a better option overall, or is Linode worth the extra cost?

Would love to hear your thoughts and experiences!

Thanks in advance!

What are you folks using for self-hosted single sign-on?

I have my little LDAP server (lldap is fan-fucking-tastic -- far easier to work with than OpenLDAP, which gave me nothing but heartburn). Some applications can be configured to work with it directly; several don't have LDAP account support. And, ultimately, it'd be nice to have SSO - having the same password everywhere if great, but having to sign in only once (per day or week, or whatever) would be even nicer.

There are several self-hosted Auth* projects; which is the simplest and easiest? I'd really just like a basic start-it-up, point it at my LDAP server, and go. Fine grained ACLs and RBAC support is nice and all, but simplicity is trump in my case. Configuring these systems is, IME, a complex process, with no small numbers of dials to turn.

A half dozen users, and probably only two groups: admin, and everyone else. I don't need fancy. OSS, of course. Is there any of these projects that fit that bill? It would seem to be a common use case for self-hosters, who don't need all the bells and whistles of enterprise-grade solutions.

cross-posted from: https://lemmy.world/post/27013201

Ollama lets you download and run large language models (LLMs) on your device.

Install Ollama on Arch Linux (Windows guide coming soon)

1. Check whether your device has an AMD GPU, NVIDIA GPU, or no GPU. A GPU is recommended but not required.
2. Open Console, type only one of the following commands and press return. This may ask for your password but not show you typing it.

sudo pacman -S ollama-rocm    # for AMD GPU
sudo pacman -S ollama-cuda    # for NVIDIA GPU
sudo pacman -S ollama         # for no GPU (for CPU)

3. Enable the Ollama service [on-device and runs in the background] to start with your device and start it now.

sudo systemctl enable --now ollama

Test Ollama alone (Open WebUI guide coming soon)

1. Open localhost:11434 in a web browser and you should see Ollama is running. This shows Ollama is installed and its service is running.
2. Run ollama run deepseek-r1 in a console and ollama ps in another, to download and run the DeepSeek R1 model while seeing whether Ollama is using your slow CPU or fast GPU.

AMD GPU issue fix

https://lemmy.world/post/27088416

Quote from the article:

Authelia 4.39 has been released and the following is a guide on all the massive changes.

Authelia 4.39 is released! This version has several additional features and improvements to existing features. In this blog post we’ll discuss the new features and roughly what it means for users.

Overall this release adds several major roadmap items. It’s quite a big release. We expect a few bugs here and there but nothing major.

Hello selfhosted! Sometimes I have to transfer big files or a large amounts of small files in my homelab. I used rsync but specifying the IP address and the folders and everything is bit fiddly. I thought about writing a bash script but before I do that I wanted to ask you about your favourite way to achieve this. Maybe I am missing out on an awesome tool I wasn't even thinking about.

I've never done any sort of home networking or self-hosting of any kind but thanks to Jellyfin and Mastodon I've become interested in the idea. As I understand it, physical servers ("bare metal" correct?) are PCs intended for data storing and hosting services instead of being used as a daily driver like my desktop. From my (admittedly) limited research, dedicated servers are a bit expensive. However, it seems that you can convert an old PC and even laptop into a server (examples here and here). But should I use that or are there dedicated servers at "affordable" price points. Since is this is first experience with self-hosting, which would be a better route to take?