This repository contains a compact open-source heuristic demo for automated time-series analysis.
The demo accepts a CSV with date and value columns, or uses the built-in Airline Passengers benchmark. It applies statsmodels.tsa.seasonal.seasonal_decompose and presents:
- the original time series against the extracted trend line;
- the seasonal component by cycle position;
- a plain-English model explanation.
pip install -r requirements.txt
python app.pyapp.py- Gradio application.requirements.txt- Python dependencies.time_series_benchmark_automl_bayesian_decomposition.csv- Kaggle-ready benchmark CSV.CITATION.cff- citation metadata for GitHub and Zenodo.