Stingray 2
Stingray 2: A fast and modern Python library for spectral timing - Published in JOSS (2024)
TimeseriesSurrogates.jl
TimeseriesSurrogates.jl: a Julia package for generating surrogate data - Published in JOSS (2022)
SPEI
SPEI: A Python package for calculating and visualizing drought indices - Published in JOSS (2025)
TopoPyScale
TopoPyScale: A Python Package for Hillslope Climate Downscaling - Published in JOSS (2023)
PyNeuroTrace - Python code for neural activity time series
PyNeuroTrace - Python code for neural activity time series - Published in JOSS (2024)
dtaidistance
Time series distances: Dynamic Time Warping (fast DTW implementation in C)
lightkurve
A friendly package for Kepler & TESS time series analysis in Python.
pastas
Pastas is an open-source Python framework for the analysis of groundwater time series.
chronos-forecasting
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
https://github.com/awslabs/gluonts
Probabilistic time series modeling in Python
musicmanipulations.jl
Manipulate music data, humanize, quantize and analyze music performances with Julia
napari-time-series-plotter
A napari Plugin for visualisaton of pixel values over time (t+ nD) as graphs.
tsam
Time series aggregation module (tsam). Determines typical operation periods or dereases the temporal resolution. Accelerates model or experiment runs.
https://github.com/sktime/pytorch-forecasting
Time series forecasting with PyTorch
reductstore
High Performance Storage and Streaming Solution for Data Acquisition Systems
https://github.com/ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
https://github.com/ydataai/ydata-synthetic
Synthetic data generators for tabular and time-series data
https://github.com/timeseriesai/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
mvgam
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
https://github.com/nixtla/hierarchicalforecast
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
https://github.com/biolab/orange3-timeseries
🍊 :chart_with_upwards_trend: Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.
@stdlib/stats-incr-mda
Compute the mean directional accuracy (MDA) incrementally.
@stdlib/datasets-cdc-nchs-us-infant-mortality-bw-1915-2013
US infant mortality data, by race, from 1915 to 2013, as provided by the Center for Disease Control and Prevention's National Center for Health Statistics.
@stdlib/datasets-cdc-nchs-us-births-1994-2003
US birth data from 1994 to 2003, as provided by the Center for Disease Control and Prevention's National Center for Health Statistics.
@stdlib/datasets-cdc-nchs-us-births-1969-1988
US birth data from 1969 to 1988, as provided by the Center for Disease Control and Prevention's National Center for Health Statistics.
@stdlib/datasets-ssa-us-births-2000-2014
US birth data from 2000 to 2014, as provided by the Social Security Administration.
https://github.com/business-science/modeltime
Modeltime unlocks time series forecast models and machine learning in one framework
https://github.com/business-science/timetk
Time series analysis in the `tidyverse`
tubedb
TubeDB is an on-demand processing database system for climate station data
https://github.com/longxingtan/time-series-prediction
tfts: Time Series Deep Learning Models in TensorFlow
https://github.com/grafana-toolbox/grafanimate
Animate timeseries data with Grafana.
https://github.com/rwhitt2049/trouve
https://github.com/bids-apps/rshrf
Resting state HRF estimation from BOLD-fMRI signal
https://github.com/business-science/modeltime.ensemble
Time Series Ensemble Forecasting
https://github.com/business-science/sweep
Extending broom for time series forecasting
https://github.com/marcnuth/anomalydetection
Twitter's Anomaly Detection in Pure Python
https://github.com/timesynth/timesynth
A Multipurpose Library for Synthetic Time Series Generation in Python
https://github.com/cerlymarco/tspiral
A python package for time series forecasting with scikit-learn estimators.
simts
:hourglass_flowing_sand: Time Series Tools R package provides a series of tools to simulate, plot, estimate, select and forecast different time series models.
https://github.com/crate/tsperf
TSPERF Time Series Database Benchmark Suite. Framework for evaluating and comparing the performance of time series databases, in the spirit of TimescaleDB's TSBS.
https://github.com/nup002/pymjc
A python implementation of the Minimum Jump Cost dissimilarity measure.
https://github.com/arcticsnow/climatepy
Collection of tools to perform timeseries analysis on climate data (Observation and Downscaled)
https://github.com/databrickslabs/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
https://github.com/timmikeladze/rehiver
🐝 Super-charge your S3 hive partitioned based file operations with intelligent pattern matching, change detection, optimized data-fetching, and out-of-the-box time series support.
https://github.com/cvjena/libmaxdiv
Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.
butterfly
Verification of continually updating timeseries data where we expect new values, but want to ensure previous data remains unchanged. Maintained by @thomaszwagerman
streamad
Online anomaly detection for data streams/ Real-time anomaly detection for time series data.
TimeseriesPrediction
Prediction of timeseries using methods of nonlinear dynamics and timeseries analysis
https://github.com/boniolp/msad
[VLDB 2023] Model Selection for Anomaly Detection in Time Series
https://github.com/managedcode/timeseries
TimeSeries, provides convenient tools for working with time series data in C#. It includes classes for accumulating and summarizing data in time frames, as well as storing and compressing the data efficiently
https://github.com/ahmedshahriar/time-series-projects
Collection of my Time series Analysis Projects
nanotrace
NanoTRACE is a python library for automated nanopore electrophysiology (1d timeseries) manipulation and feature extraction.
hendrics
Shell scripts for spectral-timing analysis of X-ray astronomical data.
https://github.com/abarbour/pbe-data
PBO BSM Earthquake database from Barbour and Crowell (2017): "Dynamic Strains for Earthquake Source Characterization"
agenoria
Python utility for visualizing growth data from a newborn's first year, such as feeding, diapering, sleep, and growth, recorded in the Glow Baby app.
https://github.com/lampspuc/sarimax.jl
Julia Package with SARIMA model implementation using JuMP.
jlmerclusterperm
Fast cluster-based permutation test for densely-sampled, multi-level time series data (ex: eyetracking, EEG)
https://github.com/patrickzib/dictionary
WEASEL 2.0 - A Random Dilated Dictionary Transform for Fast, Accurate and Constrained Memory Time Series Classification
splineomics
Timeseries analysis of -omics data can be carried out by fitting spline curves to the data and using limma for hypothesis testing. The obtained hits can be clustered based on the spline shape and then used for an overrepresentation (ORA) analysis.The R package SplineOmics streamlines this whole process and generates reports
https://github.com/geoscienceaustralia/nhi-tsed
Extraction and analysis of weather station observations for thunderstorm events