# Yu-ChangCheng/manufacturing-forecasting-framework

> A reproducible framework for monthly item-level demand forecasting with Random Forest, chronological backtests, simple baselines, and a local Streamlit app for uploading CSV/Excel files.

- Magnitude: 5.5 out of 10 — Early signal
- Stars: 73 total · +0 stars measured 2026-10-09, 00:05–01:30 UTC, ≈ 62 by evening
- Star trust: star growth looks organic
- Category: Data & analytics · Language: Python · License: MIT · Created: 2026-10-07 · Last push: 2026-10-07
- GitHub: https://github.com/Yu-ChangCheng/manufacturing-forecasting-framework · Page: https://gitnova.dev/en/r/Yu-ChangCheng/manufacturing-forecasting-framework

## Useful for

- Upload your own CSV or Excel demand data and get a forecast with a report via the local app
- Compare Random Forest against last-month and same-month-last-year baselines on a rolling-origin backtest
- Configure lag/rolling/calendar features and train a model in the Jupyter notebook on your data

## Why it’s here

- Star-counter measurements on 2026-10-09 (UTC), 00:05–01:30: 73 → 73 stars (+0). This is the change over that interval.
- Estimated end-of-day forecast: about +62 stars, using observed gains and the previous day.
- The repository is 2 days old and already has 73 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #198.
- About 240 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: 13
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 45 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 0

## Stars per day, last 6 days (oldest → newest, today is partial)

2026-10-04 … 2026-10-09: 0, 0, 0, 1, 72, 0

## Spotted in now

- Top new repositories this week: #198

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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 2026-10-09 01:41 UTC, updated every 30 minutes.