amazon-science/chronos-forecasting

Health v2 · maintenance only

Adoption not part of the score

5759 stars · 700 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Chronos is a Python library providing pretrained foundation models for time series forecasting, including Chronos-2 which handles univariate, multivariate, and covariate-informed tasks zero-shot. Models are distributed via Hugging Face and deployable to AWS SageMaker and AutoGluon-Cloud.

Use cases

• forecast future values of a time series without training a model
• zero-shot multivariate forecasting with covariates
• generate probabilistic demand or sales forecasts
• deploy a pretrained forecasting model to SageMaker
• benchmark time series forecasting models
• integrate forecasting into pandas workflows

When to choose

• you need accurate forecasts without task-specific training
• you want state-of-the-art zero-shot performance on multivariate or covariate-informed tasks
• you want fast, memory-efficient inference via Chronos-Bolt models
• you prefer inference-only foundation models over per-dataset model fitting

When to avoid

• you need interpretable classical statistical methods like ARIMA or ETS
• you have very limited compute and cannot run neural models
• you need online learning or continual model updates
• your data is not time series

Facets

library · maturity active

machine-learning llm-inference sdk time-series machine-learning artificial-intelligence large-language-models python cloud time-series-forecasting foundation-models pretrained-models zero-shot-forecasting huggingface-transformers chronos gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="amazon-science/chronos-forecasting")