desktop VS zenml

When visiting streamlabs.com, I am almost always sent through the setup process despite the fact that I've been through it multiple times. I have the desktop app and have even streamed unlisted videos as tests (everything seems fine from the app) but when I go on the website it won't acknowledge my yt account. The same is also true for my other settings like tipping; my tip URL still links to the tip page, yet the website doesn't think I've started setting any of that up. Please help, thank you!

nono i meant when i test out the widgets on streamlabs.com or whatever it pops up like it should on OBS or streamlabs the app for that matter, but the alerts don't pop up exclusively when I stream

I use a special font I purchased which is Sidefont. As I wrote it, the base64 URL I got from fontsquirrel works perfectly with streamlabs.com and streamelements alerts boxes. How can I create a shorter URL like you mentioned?

So I've used Streamlabs for a while now and have always ran into random issues with this but it has never really bugged me like it has recently. Ever since a few months ago when I set up my sponsor banner widget, it works perfectly for a week or two and then I go to stream and it just shows a generic "streamlabs" logo and text where my sponsors should be rotating. Upon checking the streamlabs.com dashboard where my widget's info should be saved, it shows a blank page and none of my settings are there so I am forced to start from scratch and completely re-add all of my sponsor images and re-do all of the associated settings. This is very frustrating as I have to now check these settings before every stream to make sure my alerts and sponsor bar are working properly. Please look into this and if anyone can offer a solution or reason as to why my settings are constantly being reset to default, please let me know. It also resets my settings for my alerts randomly as well.

Website: https://streamlabs.com/

I'm not sure what you break by chat dock, but I can share my solution. I use StreamLabs to display chat and follow animations. They provide a URL that you add to a Browser source in OBS.

If you're looking to record a long segment, like a YouTube video length, get either OBS or Streamlabs OBS. These allow you to add webcam overlays, etc etc. and for the regular OBS I'd recommend looking up a tutorial on how to set up a basic scene to record your screen, but it's straight forward enough. Streamlabs OBS comes with more overlays for streaming, if you're into that, and OBS is a bit more basic, but can be customised using coding languages and plugins I believe.

That setup should work for any software that can read from the 4K60 Pro. (OBS Studio and Streamlabs Desktop are both known to work.)

Whenever I launch the widget url in streamlabs.com it works just fine in that window but it doesn't show up at all in my desktop SLOBS

Currently, you can see the integrations we support here and it includes a lot of tools in your list. I also feel I agree with your categorization (it is exactly the categorization we use in our docs pretty much). Perhaps one thing missing might be feature stores but that is a minor thing in the bigger picture.

GitHub: https://github.com/zenml-io/zenml

Hey everyone! At ZenML, we released today an integration that allows users to train and deploy models from pipelines in a simple way. I wanted to ask the community here whether the example we showcased makes sense in a real-world setting:

As of early March 2022 this is the new CI pipeline that we use here at ZenML and the feedback from my colleagues -- fellow engineers -- has been very positive overall. I am sure there will be tweaks, changes and refactorings in the future, but for now, this feels Zen.

ZenML is hiring for a Design Engineer.

ZenML is an extensible, open-source MLOps framework to create production-ready machine learning pipelines. Built for data scientists, it has a simple, flexible syntax, is cloud- and tool-agnostic, and has interfaces/abstractions that are catered towards ML workflows.

We’re looking for a Design Engineer with a multi-disciplinary skill-set who can take over the look and feel of the ZenML experience. ZenML is a tool designed for developers and we want to delight them from the moment they land on our web page, to after they start using it on their machines. We would like a consistent design experience across our many touchpoints (including the [landing page](https://zenml.io), the [docs](https://docs.zenml.io), the [blog](https://blog.zenml.io), the [podcast](https://podcast.zenml.io), our social media, the product itself which is a [python package](https://github.com/zenml-io/zenml) etc).

A lot of this job is about communicating complex ideas in a beautiful way. You could be a developer or a non-coding designer, full time or part-time, employee or freelance. We are not so picky about the exact nature of this role. If you feel like you are a visually creative designer, and are willing to get stuck in the details of technical topics like MLOps, we can’t wait to work with you!

Apply here: https://zenml.notion.site/Design-Engineer-m-f-1d1a219f18a341...

The best place to see MLflow Tracking and ZenML being used together in a simple use case is our example that showcases the integration. It builds on the quickstart example, but shows how you can add in MLflow to handle the tracking. In order to enable MLflow to track artifacts inside a particular step, all you need is to decorate the step with @enable_mlflow and then to specify what you want logged within the step. Here you can see how this is employed in a model training step that uses the autolog feature I mentioned above: