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Home/Apps/Ancestor Research

Ancestor Research

by DARRYL JAMES CAULDWELL

NichemacOSswiftv1.0
Available onMac App Store
Runtime
swift
Size
63 MB
Architecture
Universal (Apple Silicon + Intel)
Dependencies
17
4 categories
Security
Excellent
Signed, notarized, hardened

Ancestor Research is a swift app (v1.0) that uses 17 detected dependencies across 4 categories including Machine Learning, Database, Cryptography. It is code-signed and notarized. 63 MB on macOS (Universal (Apple Silicon + Intel)). Last verified June 2026.

What is Ancestor Research built with?

17 detected dependencies across 4 categories.

Machine Learning

4
MLXtokenizersSwift TransformersTransformers.js

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Database

2
GRDBSQLite

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Cryptography

1
Swift Crypto

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Other

11
hubmlxnnmlxllmatomicsniocoreeventsourcehuggingfacemlxlmcommonmlxoptimizersorderedcollectionsnioconcurrencyhelpers

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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 Ancestor Research 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 Ancestor Research.

Code Signing

Excellent
Signed
Notarized
Hardened Runtime

Apple Mac OS Application Signing

Entitlements5

com.apple.application-identifier
com.apple.developer.team-identifier
com.apple.security.app-sandbox
com.apple.security.files.user-selected.read-write
com.apple.security.network.client

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How popular is Ancestor Research?

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

Popularity Tier
Ranked across all macOS apps
Niche

Popularity Score

11
0
Adoption
0
Mindshare
22
Store Rank

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When was Ancestor Research last updated?

1 tracked releases since June 2026.

Latest: v1.0
June 21, 2026

Last verified June 21, 2026

Get version history, dependency trees, and scores via API
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