Timeseries Analysis Python Packages

statsmodels

Statsmodels: statistical modeling and econometrics in Python

dbl-tempo

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

pytimetk

Time series easier, faster, more fun. Pytimetk.

periodicity-detection

Detect dominant periodicity in equidistant time series

reservoirpy

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

microprediction

If you can measure it, consider it predicted

openseries

Tools to analyze financial timeseries of single assets or portfolios. It is made for daily or less frequent data.

kshape

Python implementation of k-Shape

rediz

Supporting community nowcasts at www.microprediction.org

poriscope

A tool for selecting and analyzing nanopore data.

bletl

Parsing and data analysis with BioLector microbioreactor data.

numalogic-prometheus

AIOps for metrics in Prometheus

timecast-nightly

Performant, composable online learning

timeseriesdatasets

The timeseriesdatasets package provides a comprehensive collection of time series datasets. It includes extensive data on topics such as stock market prices, climate and weather data, energy consumption, air passengers, cryptocurrency, sensor readings, sales records, and global temperature anomalies.

matrixprofile-ts

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

gregory

Python framework to manage time series structured as one-level dictionaries

horaedb-client

Apache HoraeDB (Incubating) Python Client.

gendis

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

timeseries-cv

Time-Series Cross-Validation Module

tsforecasting

TSForecasting: Automated Time Series Forecasting Framework

outatime

Python framework to manage time series

napari-time-series-plotter

A napari Plugin for visualisaton of pixel values over time (t+ nD) as graphs.

timecast

Performant, composable online learning

osmevolution

Python package for receiving and restructuring OSM historic object data conveniently