# nathanliow/atlas-of-physics > An interactive 3D textbook for AP Physics 1 and AP Physics C: each chapter is one motion drawn in 3D like a textbook diagram, with vectors, graphs and click-to-break-down parts. - Magnitude: 4.3 out of 10 — Early signal - Stars: 137 total · +17 stars measured 2026-10-30, 18:33–20:53 UTC, ≈ 20 by evening - Star trust: star growth looks organic - Category: Learning & lists · Language: JavaScript · License: MIT · Created: 2026-10-28 · Last push: 2026-10-30 - GitHub: https://github.com/nathanliow/atlas-of-physics · Homepage: https://atlas-of-physics.vercel.app · Page: https://gitnova.dev/en/r/nathanliow/atlas-of-physics ## Useful for - Work through a kinematics chapter by scrolling pages and moving the camera - Break a vector into components or a graph into slope and area by clicking - Test yourself with AP-style questions on each chapter page ## Why it’s here - Star-counter measurements on 2026-10-30 (UTC), 18:33–20:53: 120 → 137 stars (+17). This is the change over that interval. - Estimated end-of-day forecast: about +20 stars, using observed gains and the previous day. - The repository is 2 days old and already has 137 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #172. - About 31 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: 40 - Issues and pull requests: 1 - Watchers: 1 - Average over the last week: 28 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 4 ## Stars per day, last 3 days (oldest → newest, today is partial) 2026-10-28 … 2026-10-30: 0, 65, 17 ## Spotted in now - Top new repositories this week: #172 ## More in this category 1. **smithjohn78390/tongjiang-lab** — 6.4 · Early signal · Learning & lists · HTML · +161 stars measured 2026-10-30, 00:15–20:52 UTC, ≈ 186 by evening Free interactive 3D science lessons for high school physics, chemistry, biology and geography: 55 lessons, each a single self-contained HTML file that works offline. Full card: https://gitnova.dev/en/r/smithjohn78390/tongjiang-lab.md 2. **amosblomqvist/learnharness** — 6.4 · Peaking · Learning & lists · TypeScript · +256 stars measured 2026-10-30, 00:16–20:52 UTC, ≈ 293 by evening A desktop app that uses AI agents to plan and teach lessons from your current understanding to a goal, tracking progress in a persistent knowledge graph. Full card: https://gitnova.dev/en/r/amosblomqvist/learnharness.md 3. **Akil-x/R00tLib-Catalog** — 4.7 · Early signal · Learning & lists · +29 stars measured 2026-10-30, 00:16–20:52 UTC, ≈ 34 by evening An open community-curated catalog of technical books on computer science, cybersecurity and software engineering with metadata, ISBNs and source links. Full card: https://gitnova.dev/en/r/Akil-x/R00tLib-Catalog.md 4. **designfuchen/word-atlas** — 4.3 · Cooling · Learning & lists · TypeScript · +127 stars measured 2026-10-30, 00:16–20:52 UTC, ≈ 145 by evening A free, open-source PWA for memorizing 7,298 IELTS words, each with an original illustration, UK/US audio and example sentences, using FSRS spaced repetition with no login. The dataset is CC BY 4.0. Full card: https://gitnova.dev/en/r/designfuchen/word-atlas.md 5. **xiaoyang111222/cn-math-taxonomy** — 3.9 · Steady · Learning & lists · Python · +299 stars measured 2026-10-30, 00:16–20:53 UTC, ≈ 340 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 --- 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 2026-10-30 21:05 UTC, updated every 30 minutes.