parisi-labs/forecastops

TimeCopilot: the Agentic Forecasting Framework. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a single API. From finance and energy to web analytics, TimeCopilot turns natural-language queries into production-ready forecasts.

Helper functions to plot, evaluate, preprocess and engineer features for forecasting

Utilities for Scoring and Assessing Predictions

Python time series forecasting assistant built on skforecast: deterministic decisions, the script that ran, an optional LLM that explains them, and an MCP server for AI agents.

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

Forecast evaluation library

Metrics for verifying forecasts

scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.

Forecastbench is a dynamic, contamination-free benchmark of LLM forecasting accuracy with human comparison groups, serving as a valuable proxy for general intelligence.