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StingrayAnything can happen in the next half hour (including spectral timing made easy)!
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cnosdbAn Open Source Distributed Time Series Database with high performance, high compression ratio and high usability.
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PydlmA python library for Bayesian time series modeling
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TelemanomA framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
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TidyquantBringing financial analysis to the tidyverse
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Timeseries fastaifastai V2 implementation of Timeseries classification papers.
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downsampleCollection of several downsampling methods for time series visualisation purposes.
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TimetkA toolkit for working with time series in R
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PhildbTimeseries database
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timemachinesPredict time-series with one line of code.
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Auto tsAutomatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
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tempoAPI 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
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ChoochooTraining Diary
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SdvSynthetic Data Generation for tabular, relational and time series data.
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DeepadotsRepository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
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Siridb ServerSiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without a global index and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy analysis over large amounts of time series.
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Fecon235Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
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ArchARCH models in Python
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TsfreshAutomatic extraction of relevant features from time series:
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TimbalaDurable time-series database that's API-compatible with Prometheus.
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Brein Time UtilitiesLibrary which contains several time-dependent data and index structures (e.g., IntervalTree, BucketTimeSeries), as well as algorithms.
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Neural prophetNeuralProphet - A simple forecasting model based on Neural Networks in PyTorch
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