A Library for Advanced Deep Time Series Models for General Time Series Analysis.
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Fast and Accurate ML in 3 Lines of Code
A unified framework for machine learning with time series
A python library for user-friendly forecasting and anomaly detection on time series.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Scalable and user friendly neural :brain: forecasting algorithms.
The machine learning toolkit for time series analysis in Python
Open source time series library for Python
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Scalable machine 🤖 learning for time series forecasting.
Visualize large time series data with plotly.py
Scalable, event-driven, deep-learning-friendly backtesting library
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
Library for sending data to thingspeak.com from IoT devices running micropython (such as ESP8266)