GNOME’s horrid coding practices

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

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  • termite

    Discontinued Termite is obsoleted by Alacritty. Termite was a keyboard-centric VTE-based terminal, aimed at use within a window manager with tiling and/or tabbing support.

    Also, regarding VTE, the author of termite (discontinued terminal emulator) expressed similar concerns about the GNOME devs. Apparently, they have little interest in making the library useful to people not working on GNOME apps: https://github.com/thestinger/termite

  • selinux-kernel

    GitHub mirror of the SELinux kernel repository

    This person is still repeating this slight of hand nonsense? The kernel certainly breaks user experience, as any Linux user who's spent large sums of money on Nvidia cards can tell you. There's an aspiration to "never" break userspace, but that still happens.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • coreutils

    upstream mirror (by coreutils)

    GIMP dates to 1995 and didn't get any public releases until 1996. Your post makes it seem like GIMP is at least a decade older than it is. It isn't "one of the earliest GNU works". Many GNU projects predate it, but most of those aren't graphical so you might not be aware of them. Those older projects include clones of UNIX utilities, such as the ones in GNU Core Utilities or "coreutils" (although technically coreutils itself is a 2002 merger of a bunch of really old utils). For instance, cat from coreutils has a copyright date of 1988.

  • subsurface

    This is the official upstream of the Subsurface divelog program

  • vte

    Read-only mirror of https://gitlab.gnome.org/GNOME/vte (by felipec)

    There is no flag. What flag do you see in my latest patch?

  • 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.

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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