---
title: tinycast
emoji: 📉
colorFrom: blue
colorTo: red
sdk: static
pinned: false
license: mit
short_description: Tiny models vs transformers on the ETTh1 benchmark
---

# tinycast

Do you need a transformer to forecast? In-browser demo of tiny forecasting
models (NLinear, DLinear + baselines) on the ETTh1 benchmark — inference runs
as plain JavaScript matrix products, no backend. The ETTh1 CSV is fetched
directly from [ETDataset](https://github.com/zhouhaoyi/ETDataset) at load time.

Source, training code and full evaluation (TCN, LSTM, published transformer
comparison): https://github.com/UsmarHaider/tinycast