head to head · open source
yomiyasu vs TranslateBooksWithLLMs
yomiyasu has 2,812 GitHub stars, 73 forks, 3 open issues and last shipped 3 days ago. TranslateBooksWithLLMs has 2,567 stars, 340 forks, 23 open issues and last shipped yesterday. yomiyasu leads on adoption by 10% (2,812 vs 2,567 stars). yomiyasu is written in Python under MIT; TranslateBooksWithLLMs is written in Python under AGPL-3.0. yomiyasu has attracted 3% as many forks as stars, TranslateBooksWithLLMs 13%. TranslateBooksWithLLMs was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (gemini, llm), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 20902 open source comparisons
Side by side
| yomiyasu | TranslateBooksWithLLMs | |
|---|---|---|
| GitHub stars | ★ 2.8K | ★ 2.6K |
| License | MIT | AGPL-3.0 |
| Written in | Python | Python |
| Last push | 2026-10-31 | 2026-11-02 |
| Forks | ⑂ 73 | ⑂ 340 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick yomiyasu if
- You weight community size — 2.8K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick TranslateBooksWithLLMs if
- You want the TranslateBooksWithLLMs feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Python
- You evaluated both and TranslateBooksWithLLMs fits your workflow better
About yomiyasu
yomiyasu（よみやす） これは何？ 『yomiyasu（よみやす）』は、AIが生成した日本語の不自然な比喩、曖昧な主述関係、不要な装飾を直し、読みやすい文章に整えるスキルです。 主に技術記事、設計書・仕様書、PR説明文、社内レポートなどの実務的な文章を対象として設計されています。 Codex、Claude Code、CursorをはじめとするAIコーディング環境に読み込ませて使用してください。 開発の背景、AI生成文の読みにくさ、コーパスを使った検証については、次の解説記事で紹介しています。 解説記事 : AI臭い日本語を脱臭するAgent Skill『yomiyasu』を作った話（Zenn） Built with curiosity at ALGO ARTIS ALGO ARTISについて 株式会社ALGO ARTISは、社会基盤の最適化に取り組むスタートアップです。 電力・海運・化学プラントといった現場では、膨大な制約が絡み合う複雑な運用計画を、今なお熟練者が手作業で組み立てています。 そうした高度な現場業務を数理モデル化し、実用的なヒューリスティック最適化アルゴリズムと業務システムを一貫して開発しています。 最適化技術を用いた社会インフラの変革に興味がある方は、公式ウェブサイトや採用情報をご覧ください。 背景と課題
read the full yomiyasu overview →
About TranslateBooksWithLLMs
TBL Translate Books with LLMs A desktop app that translates books , subtitles , and documents with AI local or cloud. Drop a file, pick a language, get the result. Formats: EPUB, SRT, DOCX, TXT No size limit. Process documents of any length from a single page to thousand page novels. The intelligent chunking system handles unlimited content while preserving context between segments. Perfect preservation. Your documents come out exactly as they went in: EPUB formatting, styles, and structure remain intact. SRT timecodes stay perfectly synchronized. Every tag, every timestamp, every formatting detail is preserved…
read the full TranslateBooksWithLLMs overview →
More in Content & Publishing
Related comparisons
More Publishing projects
Compare either of these against the rest of the Publishing field.
Frequently asked questions
Is yomiyasu or TranslateBooksWithLLMs more popular?
yomiyasu has 2,812 GitHub stars and TranslateBooksWithLLMs has 2,567. yomiyasu has the larger community by that measure.
Are yomiyasu and TranslateBooksWithLLMs free?
Both are open source. yomiyasu is licensed under MIT and TranslateBooksWithLLMs under AGPL-3.0. Neither carries a licence fee.
What is the difference between yomiyasu and TranslateBooksWithLLMs?
yomiyasu is written in Python and TranslateBooksWithLLMs in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, yomiyasu or TranslateBooksWithLLMs?
Choose yomiyasu if you want the larger community (2,812 stars) or its MIT licence terms. Choose TranslateBooksWithLLMs if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.