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awesome-mac vs ChatGPT

Application rivals. Both tagged application, desktop-app. Six rounds of real GitHub data, an AI referee, and the crowd picks a side.

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jaywcjlove/awesome-mac: 118,262 stars, Swift.  This project is dedicated to collecting high-quality macOS software and organizing them systematically by different categories for easy s…
lencx/ChatGPT: 54,671 stars, Rust. ❄️ ChatGPT Desktop Application (Mac, Windows and Linux)

awesome-mac vs ChatGPT: tale of the tape

GitHub data as of November 11, 2026

awesome-mac has 2.2 times as many GitHub stars as ChatGPT (118,262 vs 54,671). In the last 6 days, awesome-mac gained more stars: +482 (+0.4%) against +9 (+0.0%) for ChatGPT. awesome-mac saw more development in the last 52 weeks with 1,269 commits, against 0 for ChatGPT. awesome-mac is the older project (created July 2016), ChatGPT started in December 2022. awesome-mac is written mainly in Swift, ChatGPT in Rust.

jaywcjlove/awesome-maclencx/ChatGPT
Stars118,26254,671
Stars gained, last 6 days+482+9
Growth, last 6 days+0.4%+0.0%
Avg. stars per day since creation3138
Forks10,2026,146
Commits, last 52 weeks1,2690
Open issues2,073958
Best Repocharts rank today#1 in Apps#3 in Apps
LanguageSwiftRust
LicenseCC0-1.0–
CreatedJul 17, 2016Dec 7, 2022
Last pushNov 11, 2026Aug 29, 2024

Quick answers

Which is more popular, awesome-mac or ChatGPT?

awesome-mac has 2.2 times as many GitHub stars as ChatGPT (118,262 vs 54,671) (Repocharts data as of November 11, 2026).

Which is growing faster, awesome-mac or ChatGPT?

In the last 6 days, awesome-mac gained more stars: +482 (+0.4%) against +9 (+0.0%) for ChatGPT.

Which is more actively developed?

awesome-mac saw more development in the last 52 weeks with 1,269 commits, against 0 for ChatGPT.

What languages are awesome-mac and ChatGPT written in?

awesome-mac is written mainly in Swift, ChatGPT in Rust.

How does RepoClash compare awesome-mac and ChatGPT?

RepoClash scores both repositories in six rounds (popularity, momentum, activity, community, maintenance and freshness) from public GitHub data, adds an AI referee's verdict and lets developers vote for their favorite. Star counts are updated daily.

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