TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
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Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
- forecasting
- r
- python
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Statsmodels: statistical modeling and econometrics in Python
- python
- statistics
- econometrics
- data-analysis
Fast and Accurate ML in 3 Lines of Code
A unified framework for machine learning with time series
- time-series
- machine-learning
- scikit-learn
- time-series-classification
A python library for user-friendly forecasting and anomaly detection on time series.
- python
- time-series
- forecasting
- machine-learning
Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
The machine learning toolkit for time series analysis in Python
- time-series
- timeseries
- time-series-analysis
- time-series-clustering
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
- pandas
- pandas-dataframe
- parallel-computing
- parallelization
Open source time series library for Python
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python
Scalable machine 🤖 learning for time series forecasting.
- forecast
- forecasting
- machine-learning
- lightgbm
Visualize large time series data with plotly.py
Repository for Timestral, the time-series foundation model by Mistral AI
Scalable, event-driven, deep-learning-friendly backtesting library
- reinforcement-learning
- deep-reinforcement-learning
- gym-environment
- openai-gym
InfluxDB Community Templates: Quickly collect & analyze time series data from a range of sources: Kubernetes, MySQL, Postgres, AWS, Nginx, Jenkins, and more.
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
- feature-engineering
- machine-learning
- feature
- features
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
- clickhouse
- data-engineering
- data-generation
- devops
Library for sending data to thingspeak.com from IoT devices running micropython (such as ESP8266)
- thingspeak
- micropython
- micropython-thingspeak
- iot-device