Flatpak Reviews

Metaflow Reviews

Flatpak mentions (84)

• Tools for Linux Distro Hoppers

  Hopping from one distro to another with a different package manager might require some time to adapt. Using a package manager that can be installed on most distro is one way to help you get to work faster. Flatpak is one of them; other alternative are Snap, Nix or Homebrew. Flatpak is a good starter, and if you have a bunch of free time, I suggest trying Nix. - Source: dev.to / 2 months ago

• I cannot get flatpak to find anything on a fresh Debian12 install

  The repository that I used is the official one from flathub.org, I literally typed:. Source: 9 months ago

• Modern CSV version 2 is now available

  It shouldn't be too complicated to create a package from the provided tarball. [1]: https://flatpak.org/. - Source: Hacker News / 10 months ago

• Flutter 3 on Devuan 4: Getting started

  Besides, there may be other ways to install them, although there doesn't seem no such Flatpak packages in Flathub. For example, some senerio to use some release channel or Docker / Podman. Additionally, when you use a different Linux distro where systemd is adopted and therefore can do Snaps (Snapd), you have another possibility. - Source: dev.to / 10 months ago

• Android Studio on Devuan 4: Install

  Besides, there is another way to install Android Studio on Devuan: Flatpak. They have the package. Moreover, when you use a different Linux distro and can use Snaps, there is also the package. - Source: dev.to / 10 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