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RepoClash › AI Coding rivals

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Codewhale vs qwen-code

AI Coding rivals. Both tagged ai-coding, coding-agent, ai-agent. Six rounds of real GitHub data, an AI referee, and the crowd picks a side.

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codewhale-hq/Codewhale: 41,176 stars, Rust. An open-source coding agent for your terminal, written in Rust. It works with any model, can split one task across several agents, and ever…
QwenLM/qwen-code: 29,588 stars, TypeScript. An open-source AI coding agent that lives in your terminal.

Codewhale vs qwen-code: tale of the tape

GitHub data as of November 12, 2026

Codewhale has 1.4 times as many GitHub stars as qwen-code (41,176 vs 29,588). In the last 7 days, qwen-code gained more stars: +565 (+1.9%) against +18 (+0.0%) for Codewhale. qwen-code saw more development in the last 52 weeks with 14,051 commits, against 12,026 for Codewhale. qwen-code is the older project (created June 2025), Codewhale started in January 2026. Codewhale is written mainly in Rust, qwen-code in TypeScript.

codewhale-hq/CodewhaleQwenLM/qwen-code
Stars41,17629,588
Stars gained, last 7 days+18+565
Growth, last 7 days+0.0%+1.9%
Avg. stars per day since creation13959
Forks3,5713,387
Commits, last 52 weeks12,02614,051
Open issues912,207
Best Repocharts rank today#25 in Dev Tools#41 in Dev Tools
LanguageRustTypeScript
LicenseMITApache-2.0
CreatedJan 19, 2026Jun 26, 2025
Last pushNov 12, 2026Nov 12, 2026

Quick answers

Which is more popular, Codewhale or qwen-code?

Codewhale has 1.4 times as many GitHub stars as qwen-code (41,176 vs 29,588) (Repocharts data as of November 12, 2026).

Which is growing faster, Codewhale or qwen-code?

In the last 7 days, qwen-code gained more stars: +565 (+1.9%) against +18 (+0.0%) for Codewhale.

Which is more actively developed?

qwen-code saw more development in the last 52 weeks with 14,051 commits, against 12,026 for Codewhale.

What languages are Codewhale and qwen-code written in?

Codewhale is written mainly in Rust, qwen-code in TypeScript.

How does RepoClash compare Codewhale and qwen-code?

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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