Nixtla time series forecasting plugins for Claude Code. StatsForecast, MLForecast, and NeuralForecast integrations with agent skills.
l train and evaluate multiple time-series forecasting models using the Store Item Demand Forecasting Challenge dataset from Kaggle. This dataset has 10 different stores and each store has 50 items, i.e. total of 500 daily level time series data for five years (2013–2017).
Traffic Congestion Prediction on highways in Taiwan
Time-Series analysis, statistical and machine learning models for forecasting, regression, and classification
Este projeto utiliza dbt para o tratamento de dados, que são aplicados em business intelligence com dashboards, e em data science para previsão de demanda, utilizando séries temporais hierarquizadas com modelos ARIMA e regressão linear múltipla
Milk Price Prediction for a Brazilian Industry
MCP server for multitenant Nixtla TimeGPT forecasting with fine-tuning, rolling backtests, and anomaly detection. HTTP-based JSON-RPC 2.0 API with MongoDB tracking and Vercel deployment.
Collection of guides about time series forecasting and analysis
Talk at PyCon Lithuania 2025 on Time Series Forceasting (and Nixtla)
Forecasting solar energy generation in South Australia
Time Series Analysis of All India Price Index up till January 2019
C# SDK for the Nixtla TimeGPT API -- time series forecasting and anomaly detection
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