Y-Research-SBU/TimeSeriesScientist

Official Repository for TimeSeriesScientist

45
/ 100
Emerging

This tool helps people who need to predict future trends or values based on historical data. It takes your time series data, typically in a CSV file with dates and values, and processes it to find patterns and make forecasts. The output is a detailed report with predictions, visualizations, and insights, useful for anyone from business analysts to operations managers.

119 stars.

Use this if you need to automate and get comprehensive reports for your time series forecasting tasks without deep expertise in every step of the process.

Not ideal if you require real-time, ultra-low latency predictions, or if you need to integrate forecasting into an existing production system that is not Python-based.

predictive-analytics business-forecasting operations-planning financial-modeling demand-forecasting
No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 15 / 25
Community 14 / 25

How are scores calculated?

Stars

119

Forks

14

Language

Python

License

MIT

Last pushed

Nov 26, 2025

Commits (30d)

0

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