# withmarbleapp/os-taxonomy

> 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.

- Magnitude: 1.3 out of 10 — Cooling
- Stars: 7,438 total · +0 stars measured 2026-10-29, 00:09–04:24 UTC, ≈ 7 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: JavaScript · License: ODbL-1.0 · Created: 2026-07-08 · Last push: 2026-10-29
- GitHub: https://github.com/withmarbleapp/os-taxonomy · Page: https://gitnova.dev/en/r/withmarbleapp/os-taxonomy

## Useful for

- Build a learning path by traversing prerequisites for a chosen topic
- Generate diagnostic questions from each topic's assessmentPrompt
- Map your own learning materials to standards via the standards field

## Why it’s here

- Star-counter measurements on 2026-10-29 (UTC), 00:09–04:24: 7438 → 7438 stars (+0). This is the change over that interval.
- Estimated end-of-day forecast: about +7 stars, using observed gains and the previous day.
- Top new repositories in the last 4 months: #92.

## 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: 1,205
- Issues and pull requests: 78
- Watchers: 49
- Average over the last week: 31 per day
- Usual pace: 189 per day
- Stars in the last hour (measured): 0

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-30 … 2026-10-29: 3, 4, 4, 19, 98, 31, 4, 7, 18, 13, 16, 23, 14, 9, 8, 7, 176, 473, 313, 509, 487, 318, 124, 68, 34, 36, 27, 34, 11, 0

## Magnitude by day, last 14 days

09-23 1.3, 10-17 4.9, 10-18 6.4, 10-19 6.2, 10-20 7.3, 10-21 6.8, 10-22 5.5, 10-23 3.7, 10-24 2.7, 10-25 2.0, 10-26 2.0, 10-27 1.8, 10-28 2.0, 10-29 1.4

## Spotted in now

- Top new repositories in the last 4 months: #92

## More in this category

1. **smithjohn78390/tongjiang-lab** — 7.7 · Early signal · Learning & lists · HTML · +118 stars measured 2026-10-29, 00:02–04:17 UTC, ≈ 601 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** — 6.7 · Breakout · Learning & lists · TypeScript · +51 stars measured 2026-10-29, 00:02–04:17 UTC, ≈ 373 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. **xiaolai/the-craft-of-selfteaching** — 6.0 · Breakout · Learning & lists · Jupyter Notebook · +138 stars measured 2026-10-29, 00:03–04:17 UTC, ≈ 532 by evening
   Li Xiaolai's book on self-teaching, using Python as a practical entry point to learning on your own. Written as Jupyter Notebooks with a Markdown version available.
   Full card: https://gitnova.dev/en/r/xiaolai/the-craft-of-selfteaching.md
4. **designfuchen/word-atlas** — 5.5 · Cooling · Learning & lists · TypeScript · +50 stars measured 2026-10-29, 00:02–04:17 UTC, ≈ 299 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. **aa1143/NamiGPT** — 4.8 · Early signal · Learning & lists · Python · +9 stars measured 2026-10-29, 00:45–04:17 UTC, ≈ 63 by evening
   A step-by-step GPT-2 tutorial in PyTorch: from tokenization to text generation, with a hand-written implementation without ready-made Transformer modules and loading of OpenAI's official weights.
   Full card: https://gitnova.dev/en/r/aa1143/NamiGPT.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 2026-10-29 04:27 UTC, updated every 30 minutes.