This repository provides the official implementation of a AAAI-2023 paper questioning whether Transformers are effective for time series forecasting. It introduces a family of simple linear models (Linear, DLinear, NLinear) as alternatives that outperform Transformer-based approaches on long-term forecasting tasks. The work includes a comprehensive benchmark and supports both univariate and multivariate forecasting with visualization capabilities.