ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
This tool helps business analysts, operations managers, and data scientists predict future trends based on past performance. You input historical time-series data, like daily sales or hourly server loads, and it outputs clear, interpretable forecasts along with insights into driving factors like seasonality or specific events. It's designed for anyone needing to understand and project how metrics evolve over time.
4,255 stars. No commits in the last 6 months.
Use this if you need to quickly build, iterate on, and interpret forecasts for high-frequency, long-duration time series data, allowing you to refine your predictions with insights into different contributing factors.
Not ideal if you require the absolute most accurate forecast out-of-the-box without any iteration, or if your time series data is very low-frequency or extremely short in duration.
Stars
4,255
Forks
509
Language
Python
License
MIT
Category
Last pushed
Jan 08, 2025
Commits (30d)
0
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