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Home/Apps/Gargoyle

Gargoyle

by Christopher Spiegel

NotablemacOSsdlv2026.1.1
Available onHomebrewGitHub
Runtime
sdl
Size
58 MB
Architecture
Universal (Apple Silicon + Intel)
Dependencies
31
2 categories
Last Updated
Jun 21, 2026
Security
Excellent
Signed, notarized, hardened

Gargoyle is a sdl app (v2026.1.1) that uses 31 detected dependencies across 2 categories including Media, Other. It is code-signed and notarized. 58 MB on macOS (Universal (Apple Silicon + Intel)). Last updated June 21, 2026. Last verified June 2026.

What is Gargoyle built with?

31 detected dependencies across 2 categories.

Media

1
SDL2

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Other

30
fmtgmeoggxmpFLACglibintlopuspcre2png16SDL2-2garglklibpngmpg123vorbismp3lamewavpackfreetypeopusfilereadlinegthread-2portaudioturbojpegvorbisencfluidsynthlibsndfilevorbisfilegarglk-gpl2SDL2_mixer-2libjpeg-turbo

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Dot shows detection confidence; hover a technology for its evidence source. Higher confidence means a stronger extraction signal (e.g. a manifest entry vs. a binary string match).

Analyzed binary

SHA-256 of the exact binary Gargoyle was analyzed from.

No signal

No signal — this field was not captured in the extraction on record. It is populated on re-extraction, not absent from the app.

Security and privacy

Code signing, notarization, and entitlement analysis for Gargoyle.

Code Signing

Excellent
Signed
Notarized
Hardened Runtime

Developer ID Application: Christopher Spiegel (NUDUJJ3WVP)

How popular is Gargoyle?

Popularity ranking based on install counts, store ratings, and community signals.

Popularity Tier
Ranked across all macOS apps
Notable

Popularity Score

29
29
Adoption
29
Mindshare
0
Store Rank

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When was Gargoyle last updated?

10 tracked releases since March 2015.

Latest: —
May 8, 2026
—
May 8, 2026
v2026.1.1
Feb 8, 2026
v2026.1
Feb 8, 2026
v2023.1 (#141907)
Feb 25, 2023
v2023.1
Feb 20, 2023
v2022.1
Jan 31, 2022
v2019.1.1
Nov 18, 2019
v2019.1 (#72081)
Nov 6, 2019
v2019.1
Nov 3, 2019
stable-2011.1
Mar 22, 2015

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Last verified June 21, 2026

Get version history, dependency trees, and scores via API
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