Show HN: Python SDK – forecasting with foundation time-series and tabular models
4 months ago
- #Time-Series Forecasting
- #Tabular Inference
- #Python SDK
- FAIM SDK provides a production-ready Python SDK for time-series forecasting and tabular inference using foundation models.
- Supports multiple foundation models including FlowState, Amazon Chronos 2.0, TiRex for time-series, and LimiX for tabular tasks.
- Features include type-safe API with Pydantic validation, high performance with Apache Arrow serialization, and support for probabilistic & deterministic forecasts.
- Includes async support for concurrent requests, rich error handling, and is production-ready with comprehensive error handling.
- Provides detailed examples for time-series forecasting and tabular classification/regression tasks.
- Supports batch processing, compression for large payloads, and connection pooling for optimal performance.
- Available under Apache License 2.0 and includes citation information for research use.