Understand the project
Practical overview
When it fits
Use Autoformer when you need a code-based starting point for long-horizon time-series forecasting and can work with its Python and PyTorch setup.
Who it is for
- Researchers reproducing long-term forecasting benchmarks.
- Practitioners adapting a forecasting model to business or operational time series.
- Teams comparing forecasting approaches on energy, traffic, economics, weather or disease-related data.
Documented uses
- Train the model with the repository's supplied benchmark experiment scripts.
- Reproduce benchmark forecasting experiments using the provided data guidance.
- Use the architecture as a research prototype or forecasting baseline.
Before you choose
Requirements & limits
The repository is public and identifies its license as MIT.
- The documented setup specifies Python 3.6 and PyTorch 1.9.0.
- The model's distinguishing design combines progressive trend-seasonal decomposition with series-wise Auto-Correlation.
- The repository provides benchmark scripts and identifies a Chinese-language notebook as a simple prediction example.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Source-based practical guide
Set up the documented benchmark workflow
Prepare the repository's benchmark environment and datasets for running its forecasting experiment scripts.
Before you start
- Python 3.6
- PyTorch 1.9.0
- A clone of the Autoformer repository
Steps
Install Python 3.6 and PyTorch 1.9.0.
Download benchmark datasets using the repository's dataset instructions.
Choose a supplied experiment script under the scripts directory.
Expected outcome
The documented software prerequisites and data are in place to proceed with a supplied benchmark script.
Guide limitations
- These setup steps do not establish that an experiment has run successfully.
- The repository also describes an alternative Docker, conda and Make workflow.
Evidence and transparency
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 15 October 2026
- Original website title
- thuml/Autoformer · Official homepage title · retained in its source language