Node-RED node for time-series forecasting and anomaly detection using Exponential Smoothing

WebAssembly bindings for anofox-forecast time series forecasting library

Core inference engine for TimesFM — zero-shot time series forecasting

Holt-Winters triple exponential smoothing algorithm (for time series forecasting)

Command-line interface for TimesFM time-series forecasting

Fast univariate online distributional time-series forecasting: a zero-dependency JavaScript port of the Python skaters package, numerically identical to 1e-6.

Node.js ONNX Runtime inference engine for TimesFM — zero-shot time series forecasting

BMAD module for rigorous time series forecasting specification - prevents MAPE disasters and enforces forecasting discipline through AI agents

x402 pay-per-use MCP server for IBM Granite AI — chat, code, embeddings, analysis, and time-series forecasting. Pay USDC on Solana per call. No IBM Cloud account required.

TimesFM time-series forecasting for the browser — WebAssembly inference via onnxruntime-web

Time series forecasting and analysis

MCP server for FAIM forecasting SDK - Enables Claude to perform time series forecasting using Chronos2 and TiRex models

Time series forecasting service with multiple algorithms and automatic method selection

ARIMA, SARIMA, SARIMAX and AutoARIMA models for time series analysis and forecasting

Modern zero-shot time-series forecasting with advanced neural networks

This package provides support for the [RedisTimeSeries](https://redis.io/docs/data-types/timeseries/) module, which adds a time series data structure to Redis.

Node-RED node for time-series forecasting and anomaly detection using Exponential Smoothing

Chronos is a family of **pretrained time series forecasting models** based on language model architectures. A time series is transformed into a sequence of tokens via scaling and quantization, and a language model is trained on these tokens using the cros

nostradamus.js is a time-series forecasting tool for Node.js

This package provides support for the [RedisTimeSeries](https://redistimeseries.io) module, which adds a time series data structure to Redis. It extends the [Node Redis client](https://github.com/redis/node-redis) to include functions for each of the Redi