Nixtla Batch Forecaster

Process multiple time series forecasts in parallel with optimized throughput.

Overview

Leverages TimeGPT API to generate forecasts for many time series concurrently. Features parallel batch processing with rate limiting, automatic fallback for failed batches, and optional portfolio-level aggregation. Produces individual forecasts per series plus combined outputs.

Prerequisites

Required:

• Python 3.8+
• nixtla, pandas, tqdm packages

Environment Variables:

• NIXTLA_TIMEGPT_API_KEY: Your TimeGPT API key