FLATHUB Reviews

Metaflow Reviews

FLATHUB mentions (198)

• Vala Programming Language

  There are a lot of third-party Linux apps built with GTK4/Libadwaita. If you just to to https://flathub.org and click on random apps a lot of them will use GTK. - Source: Hacker News / about 2 months ago

• Saving Linux Desktop. Unifying repositories is the only way

  I would recommend taking a look at Flatpak. Source: 6 months ago

• useful linux/android software sources

  Flathub flatpak format apps/games for linux desktop, does not require any specific linux distribution just that flatpak is present on the system. Source: 8 months ago

• Gnome developer proposes removing the X11 session

  Which X clients are these? You didn't name any so let's just look at some of the popular and recent flathub apps: https://flathub.org/ I see a lot of games, chat apps, text editors, photo apps, office apps. These all will work fine in XWayland and XQuartz. But also, it's relatively easy to get them running on Wayland natively. - Source: Hacker News / 8 months ago

• Are there any major sacrifices you make to play on Linux over Windows?

  If you're worried about the potential of breaking things, I'd pick the Fedora Kinoite distro. Up to date gaming support, stable and extremely difficult to break. Install apps from Flathub using the built-in Discover software store and go nuts. Source: 8 months ago

Metaflow mentions (12)

• What are some open-source ML pipeline managers that are easy to use?

  I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home. Source: about 1 year ago

• Needs advice for choosing tools for my team. We use AWS.

  1) I've been looking into [Metaflow](https://metaflow.org/), which connects nicely to AWS, does a lot of heavy lifting for you, including scheduling. Source: about 1 year ago

• Selfhosted chatGPT with local contente

  Even for people who don't have an ML background there's now a lot of very fully-featured model deployment environments that allow self-hosting (kubeflow has a good self-hosting option, as do mlflow and metaflow), handle most of the complicated stuff involved in just deploying an individual model, and work pretty well off the shelf. Source: over 1 year ago

• [OC] Gender diversity in Tech companies

  They had to figure out video compression that worked at the volume that they wanted to deliver. They had to build and maintain their own CDN to be able to have a always available and consistent viewing experience. Don’t even get me started on the resiliency tools like hystrix that they were kind enough to open source. I mean, they have their own fucking data science framework and they’re looking into using neural... Source: over 1 year ago

• Going to Production with Github Actions, Metaflow and AWS SageMaker

  Github Actions, Metaflow and AWS SageMaker are awesome technologies by themselves however they are seldom used together in the same sentence, even less so in the same Machine Learning project. - Source: dev.to / almost 2 years ago