# datawhalechina/easy-vibe > A hands-on Vibe Coding course from Datawhale that teaches turning a described idea into a working AI-built product, from prototype to launch. Materials are available in 10 languages with interactive demos. - Magnitude: 5.9 out of 10 — Breakout - Stars: 20,011 total · +3 stars measured 2026-10-19, 10:41–12:58 UTC, ≈ 48 by evening - Star trust: star growth looks organic - Category: Learning & lists · Language: JavaScript · Created: 2025-12-28 · Last push: 2026-10-19 - GitHub: https://github.com/datawhalechina/easy-vibe · Homepage: https://datawhalechina.github.io/easy-vibe/ · Page: https://gitnova.dev/en/r/datawhalechina/easy-vibe ## Useful for - Follow the course to build a first AI-assisted product prototype - Explore RAG and AI principles through interactive demos - Walk through the full path from idea to a SaaS app step by step ## Why it’s here - Star-counter measurements on 2026-10-19 (UTC), 10:41–12:58: 20008 → 20011 stars (+3). This is the change over that interval. - Estimated end-of-day forecast: about +48 stars, using observed gains and the previous day. - Over the last two days the pace is 9.5× that of the previous week and a half. - GitHub Trending JavaScript today: #7, +235 stars. - About 68 forks a day — people are taking the code. ## 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: 1,935 - Issues and pull requests: 146 - Watchers: 68 - Average over the last week: 48 per day - Usual pace: 11 per day - Stars in the last hour (measured): 1 - Latest release: v0.4.0 (2026-08-07) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-20 … 2026-10-19: 15, 14, 29, 11, 9, 7, 4, 7, 15, 5, 11, 14, 9, 15, 11, 8, 9, 9, 13, 14, 8, 13, 27, 12, 11, 22, 15, 10, 216, 3 ## Spotted in now - GitHub Trending JavaScript today: #7, +235 stars ## More in this category 1. **xiaoyang111222/cn-math-taxonomy** — 7.5 · Early signal · Learning & lists · Python · +390 stars measured 2026-10-19, 00:05–12:58 UTC, ≈ 683 by evening Knowledge graph for Chinese middle-school math (grades 7–9): 315 topic nodes with 616 prerequisite edges, mapping to the 2022 curriculum standards, plus a 1407-question diagnostic bank. An AI-generated draft not yet reviewed by teachers. Full card: https://gitnova.dev/en/r/xiaoyang111222/cn-math-taxonomy.md 2. **mlabonne/llm-course** — 6.9 · Breakout · Learning & lists · +318 stars measured 2026-10-19, 00:06–12:58 UTC, ≈ 557 by evening Free course on large language models with roadmaps and Colab notebooks, covering math and neural networks through training, quantization, and deploying LLM applications. Full card: https://gitnova.dev/en/r/mlabonne/llm-course.md 3. **Domainsun/awesome-chinese-secondhand-slang** — 6.2 · Early signal · Learning & lists · +169 stars measured 2026-10-19, 00:07–13:13 UTC, ≈ 289 by evening An open dictionary of Chinese secondhand-marketplace slang (Xianyu, Zhuanzhuan, Xiaohongshu): 4,569+ variants, seller subtext explanations and buyer inspection tips. Helps spot tricks and choose safe wording in listings. Full card: https://gitnova.dev/en/r/Domainsun/awesome-chinese-secondhand-slang.md 4. **withmarbleapp/os-taxonomy** — 6.0 · Breakout · Learning & lists · JavaScript · +153 stars measured 2026-10-19, 00:05–12:58 UTC, ≈ 284 by evening An open taxonomy of primary-school learning micro-topics: 1,590 concepts wired into a prerequisite graph and aligned to national curriculum standards (NGSS, Common Core, UK NC). Pure JSON data, no runtime. Full card: https://gitnova.dev/en/r/withmarbleapp/os-taxonomy.md 5. **showheyohtaki/motion-prompt** — 5.1 · Early signal · Learning & lists · JavaScript · +46 stars measured 2026-10-19, 00:06–12:58 UTC, ≈ 86 by evening A library of names for motion-graphics moves, camera moves, UI components, web effects and photo looks, each with a moving sample and an example prompt. Helps you name what you want an AI to make. Full card: https://gitnova.dev/en/r/showheyohtaki/motion-prompt.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 2026-10-19 13:14 UTC, updated every 30 minutes.