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Based on our record, AppImageKit should be more popular than Luigi. It has been mentiond 52 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
What you're looking for sounds like AppImages (https://appimage.org/) . I have only used them while downloading games from itch.io, etc. (since I prefer package managers) but they seem to work out of the box on popular distros. - Source: Hacker News / 2 months ago
Ideally a new instance of the application is installed for each user. This also provides better isolation if one user upgrades/removes/breaks their application instance. I, for one, have really come around to the AppImage model [0] in the last couple of years. [0] https://appimage.org/. - Source: Hacker News / 4 months ago
There is AppImage[1], which packs a lot of stuff into a SquashFS filesystem, appends it to the executable, so everything is in one file. [1] https://appimage.org. - Source: Hacker News / 8 months ago
Nah I think yall just hating appimage. Real gold standard. Source: 10 months ago
Although I haven't used plugins feature myself yet, this does sound like the perfect use case for them. Not every patient needs to access every single source. With plugins you can load only the source (or few sources) that they actually need. You can still use something like https://appimage.org/ to give them "a single binary", but will actually contain your slim binary and all the plugins. Source: 10 months ago
I agree there are many options in this space. Two others to consider: - https://airflow.apache.org/ - https://github.com/spotify/luigi There are also many Kubernetes based options out there. For the specific use case you specified, you might even consider a plain old Makefile and incrond if you expect these all to run on a single host and be triggered by a new file... - Source: Hacker News / 8 months ago
Maybe if your use case is “smallish” and doesn’t require the whole studio suite you could check out apscheduler for doing python “tasks” on a schedule and luigi to build pipelines. Source: almost 2 years ago
What are you trying to do? Distributed scheduler with a single instance? No database? Are you sure you don't just mean "a scheduler" ala Luigi? https://github.com/spotify/luigi. - Source: Hacker News / almost 2 years ago
It's good to know what Airflow is not the only one on the market. There are Dagster and Spotify Luigi and others. But they have different pros and cons, be sure that you did a good investigation on the market to choose the best suitable tool for your tasks. - Source: dev.to / over 2 years ago
MLOps is a HUGE area to explore, and not surprisingly, there are many startups showing up in this space. If you want to get it on the latest trends, then I would look at workflow orchestration frameworks such as Metaflow (started off at Netflix, is now spinning off into its own enterprise business, https://metaflow.org/), Kubeflow (used at Google, https://www.kubeflow.org/), Airflow (used at Airbnb,... Source: about 2 years ago
Flatpak - Flatpak is the new framework for desktop applications on Linux
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
FLATHUB - Apps for Linux, right here
Metaflow - Framework for real-life data science; build, improve, and operate end-to-end workflows.
Snapcraft - Snaps are software packages that are simple to create and install.
Azkaban - Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs.