Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
- forecasting
- r
- python
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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
Automatic extraction of relevant features from time series:
- data-science
- feature-extraction
- time-series
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
The Time Series Visualization Tool that you deserve.
Probabilistic time series modeling in Python
- time-series
- deep-learning
- forecasting
- neural-networks
Technical Analysis Library using Pandas and Numpy
- trading
- technical-analysis
- python3
- volume
Time series forecasting with PyTorch
Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
STUMPY is a powerful and scalable Python library for modern time series analysis
- data-science
- time-series-analysis
- dask
- numba
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
- time-series
- time-series-forecasting
- deep-learning
- forecasting
The simplest way to group temporal data
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
- pytorch
- graph-neural-networks
- temporal-networks
- temporal-graphs
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
ObsPy: A Python Toolbox for seismology/seismological observatories.
- seismology
- python
- observatories
- science
Easy to use .NET library for data and time series manipulation and for scientific programming
Series and Panels for Real-time and Exploratory Analysis of Data Streams
- time-series
- real-time
- data-stream
- series-manipulation
Rollup time-series data in Rails
A portable C99 library of feature extraction functions for time series and other numeric data
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.