arnegiacomo

    arnegiacomo/fugleramme

    Bird frame for Raspberry Pi or your homelab - real-time bird detection by audio, fully local AI, rendered as real, hand-cut 1800s bird illustrations. On an e-ink panel, a TV, or any screen.

    devops
    self-hosted
    bird-detection
    birding
    birdnet
    birdnet-go
    birdwatching
    Python
    MIT
    4.0K stars
    155 forks
    10 GitHub watchers
    Updated Nov 6, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 1 day ago, with 38 contributors on GitHub.

    Use Cases & Benefits

    • Provides real-time bird detection by audio using local AI on a Raspberry Pi, displaying identified species as hand-cut 1800s bird illustrations on e-ink or other screens.
    • Enables fully local, privacy-respecting bird monitoring with artistic visualization, avoiding cloud dependencies and combining AI detection with historical natural-history art.
    • Use for creating a decorative, informative birdwatching display in a home or garden using a Raspberry Pi and e-ink panel.
    • Use for setting up a self-hosted bird audio detection kiosk accessible on any network device without requiring specialized hardware.
    • Use for developers or hobbyists wanting to integrate BirdNET-Go audio detection with custom visualizations and automated updates on low-power devices.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    E-ink bird frame for Raspberry Pi - real-time bird detection by audio, fully local AI, rendered as real, hand-cut 1800s bird illustrations.

    Sorry about the dirty window - squirrels have been stealing the bird food.

    Live on fugleramme.arnegiacomo.dev running from my kitchen window and displaying the actual birds currently heard in my garden (Bergen, Norway).

    Hardware, install and operations docs: arnegiacomo.dev/fugleramme

    BirdNET-Go listens on a mic and handles the classifier. Fugleramme polls its api, matches each species to an illustration, then packs them onto a page, and redraws only when the birds change - on an Inky Impression e-ink panel, and as a web kiosk serving the same view. There's an admin page that lets you configure what to show, and automatic updates and such.

    If you already run BirdNET-Go, point the frame at it instead - on the same machine or anywhere else reachable from your network.

    A Raspberry Pi 5, an Inky Impression 13.3" (Spectra 6), a mic and an A4 frame. Full parts list, recommendations and alternatives: Hardware.

    Excerpt from the arnegiacomo/fugleramme README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Sep 18: +86Sep 24: +2

    +1,125 stars over 50 days across 7 snapshot days; best day +86 on Sep 18.

    Forks

    155+86

    Open issues

    17+8

    Compared with peers in DevOps

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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    arnegiacomo/fugleramme4.0K—601 day ago
    Category median13.5K+1.4K60—

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