本專案旨在利用機器學習模型，根據 Steam 遊戲在「發售前」的公開資訊（如價格、標籤、發行商），預測該遊戲發售後的市場表現（以首週最高在線人數 Peak CCU 為指標）。 我們希望透過此模型幫助獨立遊戲開發者了解： 哪些特徵（Feature）最能影響遊戲熱度？ 選擇在什麼時間點（Timing）發售能避開競爭，獲得最大流量？
active 2025-11-26 → 2025-12-13 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 18 days from 2025-11-26 to 2025-12-13. Pushes: 3 total, peak 1 in a day. Pull requests: 4 total, peak 1 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Chiu0918 | 3 | 0 | 3 | 0 |
| aceyang108 | 3 | 3 | 0 | 0 |
| MikanLord173 | 1 | 0 | 1 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.