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Home/Apps/LlamaBarn

LlamaBarn

by Caret.io OOD

Top AppmacOSswiftv0.31.1
Available onHomebrewGitHub
Runtime
swift
Size
5 MB
Architecture
Apple Silicon
Dependencies
2
3 categories
Last Updated
Jun 12, 2026
Security
Good
Partially secured

LlamaBarn is a swift app (v0.31.1) that uses 2 detected dependencies across 3 categories including Error Tracking, Auto Update, Machine Learning. It is code-signed. 5 MB on macOS (Apple Silicon). Last updated June 12, 2026. Last verified June 2026.

What is LlamaBarn built with?

2 detected dependencies across 3 categories.

Error Tracking

1
Sentry

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Auto Update

1
Sparkle

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Machine Learning

1
Transformers.js

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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 LlamaBarn 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 LlamaBarn.

Code Signing

Good
Signed
Notarized
Hardened Runtime

Developer ID Application: Caret.io OOD (V89L745MNN)

How popular is LlamaBarn?

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

Popularity Tier
Ranked across all macOS apps
Top App

Popularity Score

83
91
Adoption
82
Mindshare
0
Store Rank

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When was LlamaBarn last updated?

20 tracked releases since December 2025.

Latest: v0.31.1
June 12, 2026
v0.31.1
Jun 12, 2026
v0.31.0
Jun 11, 2026
v0.30.0
Apr 25, 2026
v0.29.1
Apr 16, 2026
v0.29.0
Apr 15, 2026
v0.28.0
Apr 3, 2026
v0.27.0
Apr 1, 2026
v0.26.0
Mar 24, 2026
v0.25.0
Feb 18, 2026
v0.24.0
Jan 28, 2026
v0.23.0
Jan 19, 2026
v0.22.0
Jan 15, 2026
v0.21.0
Jan 7, 2026
v0.20.0
Jan 2, 2026
v0.19.0
Dec 30, 2025
v0.18.0
Dec 29, 2025
v0.17.0
Dec 28, 2025
v0.16.0
Dec 19, 2025
v0.15.0
Dec 17, 2025
v0.14.0
Dec 16, 2025

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Last verified June 12, 2026

Get version history, dependency trees, and scores via API
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