Hi Gr! Thank you for your interest in Nixtla. That's our complete ecosystem for time series forecasting. The names try to be descriptive in the type of models they offer. For example, StatsForecast offers classical statistical methods, NeuralForecast offers deep learning methods, and so on. You can check the documentation of each one to learn more, or use our AI search bar at the top of that page to ask questions.

Hi Mariana, is there a GUI app on top of Nixtla available?

No, but most of our libraries are very easy to use. For example, TimeGPT requires only a few lines of Python code to generate predictions.

what is the best way to use Nixtla, python or R?

Currently, only TimeGPT is available in both Python and R. The models from the other libraries are only available in Python.

New paper says LLMs are no good for Time-series data - https://arxiv.org/abs/2406.16964