unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
This tool helps forecasters and analysts predict future trends and spot unusual patterns in data that changes over time, such as sales figures, stock prices, or sensor readings. You provide historical time-series data, and it outputs predictions for future values or highlights data points that deviate significantly from expected behavior. It's designed for data scientists, business analysts, and operations managers who need reliable forecasts and anomaly detection without deep machine learning expertise.
9,248 stars. Used by 2 other packages. Actively maintained with 16 commits in the last 30 days. Available on PyPI.
Use this if you need to forecast future values or identify anomalies in time-series data using a wide range of models, from traditional statistics to advanced deep learning, with a consistent and user-friendly approach.
Not ideal if your data is not sequential or time-dependent, or if you only need very basic, non-statistical summaries of your data.
Stars
9,248
Forks
989
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 07, 2026
Commits (30d)
16
Dependencies
16
Reverse dependents
2
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