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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KhivaAn open-source library of algorithms to analyse time series in GPU and CPU.
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TimbalaDurable time-series database that's API-compatible with Prometheus.
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Uplot📈 A small, fast chart for time series, lines, areas, ohlc & bars
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PystoreFast data store for Pandas time-series data
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Neural prophetNeuralProphet - A simple forecasting model based on Neural Networks in PyTorch
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Indicators.jlFinancial market technical analysis & indicators in Julia
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pybacenThis library was developed for economic analysis in the Brazilian scenario (Investments, micro and macroeconomic indicators)
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Deep XFPackage towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
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cnosdbAn Open Source Distributed Time Series Database with high performance, high compression ratio and high usability.
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downsampleCollection of several downsampling methods for time series visualisation purposes.
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PyafPyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
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TsmoothieA python library for time-series smoothing and outlier detection in a vectorized way.
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TslearnA machine learning toolkit dedicated to time-series data
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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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ChoochooTraining Diary
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ArcticHigh performance datastore for time series and tick data
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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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micropredictionIf you can measure it, consider it predicted
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TimetkA toolkit for working with time series in R
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DeepadotsRepository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
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TsaiTime series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai
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TidyquantBringing financial analysis to the tidyverse
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LightkurveA friendly package for Kepler & TESS time series analysis in Python.
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timemachinesPredict time-series with one line of code.
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PydlmA python library for Bayesian time series modeling
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Stl Decomp 4jJava implementation of Seasonal-Trend-Loess time-series decomposition algorithm.
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Fecon236Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.
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GriddbGridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.
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Doppelganger[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
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StingrayAnything can happen in the next half hour (including spectral timing made easy)!
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Gorilla TscImplementation of time series compression method from the Facebook's Gorilla paper
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SweepExtending broom for time series forecasting
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TimesynthA Multipurpose Library for Synthetic Time Series Generation in Python
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wax-mlA Python library for machine-learning and feedback loops on streaming data
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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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Ad examplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
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JmcsJava framework to homogenize your GUI across all the 3 main desktop OS, and further integrates your app to them.
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JsloggerIntegrate JavaScript Logging with ASP.NET Core Logging APIs
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LogbookAn extensible Java library for HTTP request and response logging
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Logging HelpersBasic template helpers for printing messages out to the console. Useful for debugging context in templates. Should work with any template engine.
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Node Influx📈 The InfluxDB Client for Node.js and Browsers
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Datastream.ioAn open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
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LambdalogsA CLI tool to trace AWS Lambda calls over multiple CloudWatch log groups.
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Scala LoggingConvenient and performant logging library for Scala wrapping SLF4J.
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Deep Learning Time SeriesList of papers, code and experiments using deep learning for time series forecasting
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S3bpRead and write Python objects to S3, caching them on your hard drive to avoid unnecessary IO.
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BoltzmanncleanFill missing values in Pandas DataFrames using Restricted Boltzmann Machines
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QuickvizVisualize a pandas dataframe in a few clicks
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