# stockedge/manga-generator > A manga production tool that works with Codex to turn a source text (novel or article) into a script, storyboard, generated images, lettering, and a final PDF. Text and speech bubbles are stored separately from the artwork, so dialogue can be edited easily after generation. - Magnitude: 1.5 out of 10 — Cooling - Stars: 118 total · +0 stars measured 2026-10-27, 00:34–02:07 UTC, ≈ 6 by evening - Star trust: star growth looks organic - Category: AI agents · Language: JavaScript · License: MIT · Created: 2026-10-22 · Last push: 2026-10-26 - GitHub: https://github.com/stockedge/manga-generator · Page: https://gitnova.dev/en/r/stockedge/manga-generator ## Useful for - Generate a manga from a novel text with storyboard, images, and a final PDF - Edit dialogue and captions after image generation without redrawing panels - Run validation and regenerate individual panels via npm run check ## Why it’s here - Star-counter measurements on 2026-10-27 (UTC), 00:34–02:07: 118 → 118 stars (+0). This is the change over that interval. - Estimated end-of-day forecast: about +6 stars, using observed gains and the previous day. - The repository is 5 days old and already has 118 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #199. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 22 - Issues and pull requests: 1 - Watchers: 0 - Average over the last week: 21 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 - Latest release: v0.1.0 (2026-10-24) ## Stars per day, last 6 days (oldest → newest, today is partial) 2026-10-22 … 2026-10-27: 20, 50, 6, 35, 7, 0 ## Spotted in now - Top new repositories this week: #199 ## More in this category 1. **HKUDS/DeepTutor** — 8.3 · Breakout · AI agents · Python · +117 stars measured 2026-10-27, 00:34–02:01 UTC, ≈ 1,114 by evening A lifelong personalized AI tutor with long-term memory: builds learning paths, reads documents and books, and runs practice and assessments via a multi-agent system and RAG. Full card: https://gitnova.dev/en/r/HKUDS/DeepTutor.md 2. **makecindy/cindy** — 8.3 · Breakout · AI agents · TypeScript · +93 stars measured 2026-10-27, 00:34–02:01 UTC, ≈ 1,226 by evening Cindy is an open-source AI agent that combines multiple harnesses (Claude Code, Codex), models and tools into one agent working locally with your real files and apps. This repo is the client: Electron desktop and Expo/React Native mobile… Full card: https://gitnova.dev/en/r/makecindy/cindy.md 3. **TauricResearch/TradingAgents** — 8.3 · Breakout · AI agents · Python · +109 stars measured 2026-10-27, 00:34–02:01 UTC, ≈ 1,260 by evening A framework that simulates a trading firm with LLM agents (analysts, researchers, trader, risk manager) debating markets and producing trading decisions. Built for research, not real trading. Full card: https://gitnova.dev/en/r/TauricResearch/TradingAgents.md 4. **t3dotgg/tstack** — 8.2 · Breakout · AI agents · Python · +35 stars measured 2026-10-27, 00:34–02:01 UTC, ≈ 1,296 by evening A collection of reusable agent skills for Claude Code and Codex that automate pull request workflows, from filing and reviewing to merging, plus peer review by multiple models. Full card: https://gitnova.dev/en/r/t3dotgg/tstack.md 5. **AgriciDaniel/claude-seo** — 7.8 · Breakout · AI agents · Python · +37 stars measured 2026-10-27, 00:34–02:01 UTC, ≈ 784 by evening SEO analysis plugin for Claude Code: 26 sub-skills and 19 agents run in parallel across technical SEO, E-E-A-T, Schema.org, GEO/AEO, local and international SEO, producing a prioritized action plan. Full card: https://gitnova.dev/en/r/AgriciDaniel/claude-seo.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-27 02:12 UTC, updated every 30 minutes.