Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-time-series
Resources for working with time series and sequence data
https://github.com/lmmentel/awesome-time-series
- adtk - based/unsupervised anomaly detection in time series.
- aeon
- alibi-detect
- AutoTS - accuracy forecasts at scale.
- Auto_TS
- cesium - Source Platform for Time Series Inference.
- darts
- deeptime
- dtw-python
- etna - to-use time series forecasting framework.
- fost - use tool for spatial-temporal forecasting.
- functime - series machine learning and embeddings at scale.
- gluon-ts
- gordo
- greykite
- hmmlearn - learn` like API.
- HyperTS - Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
- kats - 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.
- libmaxdiv - temporal time-series.
- lifelines
- luminaire
- mass-ts - sequences under z-normalized Euclidean distance for similarity.
- matrixprofile
- Merlion - to-end machine learning framework that includes loading and transforming data, building and training models, post-processing model outputs, and evaluating model performance.
- neuralforecast
- nixtla
- orbit - oriented design and probabilistic models under the hood from Uber.
- pastas - source Python framework for the analysis of hydrological time series.
- pmdarima
- prophet - linear growth.
- pyaf
- PyDLM
- PyFlux
- pyFTS
- Pyod
- PyPOTS - observed time series (A.K.A. irregularly-sampled time series), supporting tasks of forecasting/imputation/classification/clustering on incomplete multivariate time series with missing values.
- pyspi
- pytimetk
- rrcf
- scalecast
- scikit-hts
- seglearn
- shyft - series for python and c++, including distributed storage and calculations Hydrologic Forecasting Toolbox, high-performance flexible stacks, including calibration Energy-market models and micro services.
- similarity_measures
- skforecast - learn models.
- sktime - learn` compatible Python toolbox for learning with time series.
- statsforecast
- statsmodels.tsa
- stumpy
- TICC
- tick - dependent modelling.
- timemachines - series forecasting.
- TimeSeers
- Time Series Generator - step outputs limitation in Keras.
- tods - series Outlier Detection System.
- torchtime
- TSDB - Series DataBase: A Python toolbox helping load time-series datasets easily.
- tsai - of-the-art Deep Learning library for Time Series and Sequences.
- tscv - Validation - an extension for scikit-learn.
- tsflex
- tslearn
- tslumen
- tsmoothie - series smoothing and outlier detection in a vectorized way.
- astral
- Arrow - A Python library that offers a sensible and human-friendly approach to creating, manipulating, formatting and converting dates, times and timestamps.
- Chronyk - A Python 3 library for parsing human-written times and dates.
- dateutil - Extensions to the standard Python [datetime](https://docs.python.org/3/library/datetime.html) module.
- delorean - A library for clearing up the inconvenient truths that arise dealing with datetimes.
- maya - Datetimes for Humans.
- moment - A Python library for dealing with dates/times. Inspired by [Moment.js](http://momentjs.com/).
- Pendulum - Python datetimes made easy.
- PyTime - An easy-to-use Python module which aims to operate date/time/datetime by string.
- pytz - World timezone definitions, modern and historical. Brings the [tz database](https://en.wikipedia.org/wiki/Tz_database) into Python.
- when.py - Providing user-friendly functions to help perform common date and time actions.
- AntroPy - efficient algorithms for computing the entropy and complexity of time-series.
- catch22 - series CHaracteristics, 22 high-performing time-series features in C, Python and Julia.
- featuretools
- temporian - source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
- tsfeatures
- tsfel
- tsflex
- tsfresh
- bayesian_changepoint_detection
- changepy
- RBEAST - Point Detection and Time Series Decomposition.
- ruptures - line change point detection. This package provides methods for the analysis and segmentation of non-stationary signals.
- TCPDBench
- DeepEcho - type, multivariate time series.
- deltapy
- time_series_augmentation
- TimeSynth
- tsaug
- tsgm
- atlair
- matplotlib
- plotly - quality graphs.
- plotly-resampler
- seaborn - level interface for drawing attractive and informative statistical graphics.
- tsdownsample
- timeseries-elo-ratings - elo-ratings/html_leaderboards/overall.html).
- m6 - Competition](https://mofc.unic.ac.cy/the-m6-competition/)
- competitions
- SKAB - series data for evaluating Anomaly Detection algorithms.
- bcp
- CausalImpact - series models.
- changepoint
- cpm
- EnvCpt
- fable
- fasster
- feasts
- fpop
- greybox
- modeltime
- penaltyLearning
- Rcatch22 - series CHaracteristics.
- smooth
- theft
- timetk
- tsibble
- tsrepr
- SFA
- tsml
- cubism
- echarts
- fusiontime - series and stock data in JavaScript, with just a few lines of code.
- highcharts
- synchro-charts - end component library that provides a collection of components to visualize time-series data.
- flint
- hctsa - series analysis.
- atlas - memory dimensional time series database from Netflix.
- cassandra
- ClickHouse - source, high performance columnar OLAP database management system for real-time analytics using SQL.
- cratedb
- druid - time analytics database.
- fauna - friendly, transactional database delivered as a secure and scalable cloud API with native GraphQL.
- InfluxDB - dashboards, queries, tasks and agents all in one place.
- KairosDB
- opendTSDB
- prometheus - source systems monitoring and alerting toolkit originally built at [SoundCloud](https://soundcloud.com).
- QuestDB
- SiriDB - scalable, robust and super fast time series database.
- TimeScaleDB - source relational database with support for time-series data.
- TDengine - source time-series database with high-performance, scalability and SQL support.
- Amazon Timestream
- Azure Database for PostgreSQL
- Azure time series insights
- InfluxDB Cloud - time monitoring platform, dashboarding engine, analytics service and event and metrics processor.
- TimeScaleDB Cloud
- TDengine Cloud
- AnnotateChange - A simple flask application to collect annotations for the Turing Change Point Dataset, a benchmark dataset for change point detection algorithms.
- Curve - An open-source tool to help label anomalies on time-series data
- TagAnomaly - Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
- time-series-annotator - Time Series Annotation Library implements classification tasks for time series.
- WDK - The Wearables Development Toolkit (WDK) is a set of tools to facilitate the development of activity recognition applications with wearable devices.
- code
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- ESRNN-GPU - RNN model for time series forecasting.
- LSTM-Neural-Network-for-Time-Series-Prediction
- ROCKET
- TensorFlow-Time-Series-Examples
- TimeSeries
- UCR_Time_Series_Classification_Deep_Learning_Baseline - of-the-art time series classification.
- wtte-rnn - RNN a framework for churn and time to event prediction.
- binjr
- CompEngine - organizing database of time-series data, that allows you to upload time-series data and interactively visualize similar data that have been measured by others.
- Bayesian Time Series Models
- Codeless Time Series Analysis with KNIME
- Forecasting principles and practice (3rd ed)
- Practical Time Series Analysis
- repo with code
- Practical Time Series Analysis: Prediction with Statistics and Machine Learning
- repo with code
- Machine Learning for Time-Series with Python
- repo with code
- Time Series Analysis Handbook
- Visualization of Time-Oriented Data - Verlag 2011
- Analytics Vidhya - Time Series Forecasting using Python
- Coursera - Intro to Time Series Analysis in R
- Coursera - Sequences, Time Series and Prediction
- Coursera - Practical Time Series Analysis
- Data For Science - Time Series for Everyone
- Kaggle - Time Series
- Udacity - Time Series Forecasting
- Forecasting with Structural AR Timeseries | PyMC
- Time-related feature engineering - scikit learn
- r/TimeSeries
- sktime gitter
- microprediction slack
- pycaret slack - series chat.
- Matrix Profile Foundation
- HAKOM TSM Platform - processing and storing time series from different sources in different formats for all analytical and operational purposes.
- cuge1995/awesome-time-series
- MaxBenChrist/awesome_time_series_in_python
- vinta/awesome-python
- xephonhq/awesome-time-series-database
- awesome python benchmarks
- Alro10/deep-learning-time-series
- hctsa - time series resources - series analysis (including in other programming languages like python and R).
Programming Languages
Keywords
time-series
74
python
46
machine-learning
36
forecasting
29
data-science
24
time-series-analysis
21
deep-learning
19
timeseries
16
anomaly-detection
12
automl
9
time-series-classification
8
data-mining
8
pytorch
7
scikit-learn
7
statistics
7
classification
7
arima
7
time
7
r
7
changepoint
6
feature-engineering
6
data-visualization
6
pandas
6
visualization
5
python3
5
time-series-forecasting
5
r-package
5
feature-extraction
5
data-analysis
4
forecasting-models
4
datetime
4
prophet
4
tensorflow
4
machine-learning-algorithms
4
regression
4
exponential-smoothing
4
outlier-detection
3
deep-neural-networks
3
timezones
3
lstm
3
prediction
3
time-series-data-mining
3
time-series-clustering
3
database
3
timeseries-analysis
3
probabilistic-forecasting
3
keras
3
segmentation
3
ets
3
clustering
3