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Home/Apps/Mipony

Mipony

by INICIATIVAS INFORMATICAS Y DE COMUNICACION SL

NichemacOSdotnetv1.13
Available onHomebrew
Runtime
dotnet
Size
46 MB
Architecture
Intel
Dependencies
6
3 categories
Last Updated
Jun 21, 2026
Security
Excellent
Signed, notarized, hardened

Mipony is a dotnet app (v1.13) that uses 6 detected dependencies across 3 categories including Compression, Other, Machine Learning. It is code-signed and notarized. 46 MB on macOS (Intel). Last updated June 21, 2026. Last verified June 2026.

What is Mipony built with?

6 detected dependencies across 3 categories.

Compression

2
sharpcompressBrotli

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Machine Learning

1
Core ML

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Other

5
jsonfxxamarin.macmono.security.dllbouncycastle.cryptosystem.drawing.common

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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 Mipony 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 Mipony.

Code Signing

Excellent
Signed
Notarized
Hardened Runtime

Developer ID Application: INICIATIVAS INFORMATICAS Y DE COMUNICACION SL (37W2V4LKG8)

Entitlements4

com.apple.security.cs.allow-dyld-environment-variables
com.apple.security.cs.allow-jit
com.apple.security.cs.disable-executable-page-protection
com.apple.security.cs.disable-library-validation

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How popular is Mipony?

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

Popularity Tier
Ranked across all macOS apps
Niche

Popularity Score

13
13
Adoption
13
Mindshare
0
Store Rank

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When was Mipony last updated?

4 tracked releases since December 2020.

Latest: v1.13
March 10, 2025
v1.13
Mar 10, 2025
v1.12
Apr 23, 2024
v1.11
Oct 30, 2023
v1.7,9 (#96029)
Dec 19, 2020

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Last verified June 21, 2026

Get version history, dependency trees, and scores via API
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