Why aren't more developers maintaining their own Flatpaks?

This page summarizes the projects mentioned and recommended in the original post on /r/flatpak

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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  • Paperless

    Discontinued Scan, index, and archive all of your paper documents

  • I'm a dev with 20+ years of experience behind me and about 12 years of Python. I'm pretty accomplished in this space with a few projects [under]() my belt. I'm also having an absolutely miserable time trying to package my latest project with Flatpak.

  • meson

    The Meson Build System

  • Interestingly, that one page refers to the "simple" buildsystem when building your Python project, but most of the references to Python + Flatpak I see out there talk about using Meson like it's the thing everyone is actually using. Of course I haven't yet found a tutorial on how to build a Python project using Meson yet either. The official website goes on at length about how fast it is (I don't care) and talks a lot about compiling your project (Python doesn't generally do that), so yeah... I'm a little frustrated.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • flatpak-builder-tools

    Various helper tools for flatpak-builder

  • That one page in the docs does mention that tricky things like dependency resolution have to be done in advance, but support for building that dependency resolution is at best officially unsupported. There's a git repo dedicated to scripts to do this sort of thing but:

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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