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Home/Apps/OMLX

OMLX

by Heejun Kim

Top AppmacOSpythonv0.3.9rc1
Available onDirect DownloadGitHub
Runtime
python
Size
1103 MB
Architecture
Apple Silicon
Dependencies
180
15 categories
Last Updated
Jun 20, 2026
Security
Good
Partially secured

Company

Headquarters

Seoul, Korea

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OMLX is a python app (v0.3.9rc1) that uses 180 detected dependencies across 15 categories including Machine Learning, Encoding, Platform Binding. It is code-signed. 1103 MB on macOS (Apple Silicon). Last updated June 20, 2026. Last verified June 2026.

What is OMLX built with?

180 detected dependencies across 15 categories.

Machine Learning

4
MLXtiktokentokenizersSafeTensors

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Encoding

1
idna

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Platform Binding

2
objccocoa (Rust)

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Parser

3
yamlregex (Rust)jsonschema

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Build Tool

2
Babeldotenv

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UI Framework

2
AppKitTcl/Tk

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Media

1
Pillow

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Cryptography

3
xxhashmurmurhashOpenSSL

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Serialization

2
MessagePackProtocol Buffers

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CLI

1
termcolor

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Rich Text Editor

1
markdown-it

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Compression

3
Brotlibzip2zlib

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Internationalization

1
ICU

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Database

1
SQLite

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Other

160
h11jwtmcppilsixattrbliscfficsvwdillrichrpdssoxrtqdmyarlzipp-yamlanyioattrsclickcymemhttpxmdurlnumbanumpypoochpyjwtscipyspacysrslythinctomlityperwheelwraptaddictdlinfodocoptfsspecgooglehf-xetjinja2joblibmisakimlx-lmpsutilpyyamlrdflibwasabiweaselaiohttpcertififastapiisodatelibrosamlx-vlmpreshedrfc3986rpds-pysklearnsocksiourllib3uvicorndateutilfilelockhttpcorellvmliteomlx-apppydanticpygmentsrequestssegmentstabulateaiosignalaudioreadcataloguedecoratorhttpx-sseminiaudiomlx-audiomlx-metalmultidictmultipartnum2wordspackagingparoquantpropcachepycountrypycparserpyparsingsoundfilestarlettewebrtcvadconfectiondflash-mlxfoundationfrozenlistllguidancemarkupsafemodelscopephonemizerpyloudnormsetuptoolssmart-openautocommandjaraco-textlazy-loaderpyobjc-corepyobjctoolsreferencingshellinghamsounddeviceuritemplatecloudpathlibcryptographyitsdangerousmultiprocessplatformdirsscikit-learnspacy-legacytiktoken-exttransformers-multiprocessannotated-doclanguage-tagspydantic-corepython-dotenvsentencepiecesitecustomizespacy-loggerssse-starlettethreadpoolctlcorefoundationen-core-web-smjaraco-contextmarkdown-it-pymistral-commonmlx-embeddingsmore-itertoolsopenai-harmony-distutils-hack-soundfile-dataannotated-typesespeakng-loaderhuggingface-hubphonemizer-forkpython-dateutilaiohappyeyeballsjaraco-functoolspython-multipart-sounddevice-databackports-tarfilepydantic-settingstyping-extensionstyping-inspectioncharset-normalizerimportlib-metadatapydantic-extra-typespyobjc-framework-cocoajsonschema-specifications

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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 OMLX 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 OMLX.

Code Signing

Good
Signed
Notarized
Hardened Runtime

Developer ID Application: Heejun Kim (PSK5Q5T46L)

Entitlements3

com.apple.security.cs.allow-jit
com.apple.security.cs.allow-unsigned-executable-memory
com.apple.security.cs.disable-library-validation

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How popular is OMLX?

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

Popularity Tier
Ranked across all macOS apps
Top App

Popularity Score

96
0
Adoption
96
Mindshare
0
Store Rank

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When was OMLX last updated?

20 tracked releases since April 2026.

Latest: v0.4.1
June 3, 2026
v0.4.1
Jun 3, 2026
v0.4.0
Jun 2, 2026
v0.4.0rc2
Jun 2, 2026
v0.4.0rc1
Jun 1, 2026
v0.3.12
May 27, 2026
v0.3.11
May 26, 2026
v0.3.10
May 24, 2026
v0.3.9
May 21, 2026
v0.3.9rc1
May 19, 2026
v0.3.9.dev2
May 12, 2026
v0.3.9.dev1
May 6, 2026
v0.3.8
Apr 30, 2026
v0.3.8rc1
Apr 28, 2026
v0.3.8.dev1
Apr 28, 2026
v0.3.7
Apr 28, 2026
v0.3.8.dev3
Apr 28, 2026
v0.3.6
Apr 16, 2026
v0.3.5
Apr 15, 2026
v0.3.5-rc1
Apr 14, 2026
v0.3.5.dev1
Apr 7, 2026

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Last verified June 20, 2026

Get version history, dependency trees, and scores via API
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