# o-Sakurajimamai-o/cet-practice

> A local offline English practice app for Windows and macOS covering CET-4, CET-6, and postgraduate entrance exam papers with progress tracking, wrong-answer logs, notes, and bilingual reading support.

- Magnitude: 2.1 out of 10 — Early signal
- Stars: 105 total · +1 star measured 2026-10-31, 03:14–06:03 UTC, ≈ 13 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: Python · Created: 2026-10-25 · Last push: 2026-10-30
- GitHub: https://github.com/o-Sakurajimamai-o/cet-practice · Page: https://gitnova.dev/en/r/o-Sakurajimamai-o/cet-practice

## Useful for

- Practice CET-4 or CET-6 mock papers offline with listening sections and answer explanations.
- Track wrong answers and notes across 168 exam papers to review before the test.
- Read postgraduate entrance exam passages with one-click Chinese-English switching.

## Why it’s here

- Star-counter measurements on 2026-10-31 (UTC), 03:14–06:03: 104 → 105 stars (+1). This is the change over that interval.
- Estimated end-of-day forecast: about +13 stars, using observed gains and the previous day.
- The repository is 6 days old and already has 105 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.

## 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: 6
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 17 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 0
- Latest release: v1.4.0 (2026-10-30)

## Stars per day, last 7 days (oldest → newest, today is partial)

2026-10-25 … 2026-10-31: 14, 28, 13, 14, 16, 20, 1

## Similar by description

1. **lusouldepth-ai/FDE_Learning** — 0.1 · Cooling · Learning & lists · Python · +0 stars measured 2026-10-31, 00:37–06:08 UTC, ≈ 0 by evening
   A local Python web app for Tencent Cloud FDE exam prep: 1000 original questions with chapter filtering, explanations, mistake tracking and spaced repetition.
   Full card: https://gitnova.dev/en/r/lusouldepth-ai/FDE_Learning.md

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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 2026-10-31 06:09 UTC, updated every 30 minutes.