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Top 406 time-series open source projects

Covid19
JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily
Fecon236
Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.
Anticipy
A Python library for time series forecasting
Atsd
Axibase Time Series Database Documentation
Wdk
The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals
Colorednoise
Python package to generate Gaussian (1/f)**beta noise (e.g. pink noise)
Kryptoflow
Real-time analysis of bitcoin markets with Kafka and Tensorflow Serving
Whisper
Whisper is a file-based time-series database format for Graphite.
Pysgs
📈 Python interface for the Brazilian Central Bank's Time Series Management System (SGS)
Pycon Ua 2018
Talk at PyCon UA 2018 (Kharkov, Ukraine)
New Empty Python Project Base
The Perfect Python Project Template. Bored of coding anew the same thing for your new Python projects? Here is what you need. Click below on the "use this template" green button to start using it instantly. Rename the "project" folder and all references to this folder to customize your project name.
Tsanalysis.jl
This package includes basic tools for time series analysis, compatible with incomplete data.
Time Attention
Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
Soft Dtw Divergences
An implementation of soft-DTW divergences.
Gratis
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
Mckinsey Smartcities Traffic Prediction
Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge
Wavelet networks
Code repository of the paper "Wavelet Networks: Scale Equivariant Learning From Raw Waveforms" https://arxiv.org/abs/2006.05259
Traildb
TrailDB is an efficient tool for storing and querying series of events
Mathematicavsr
Example projects, code, and documents for comparing Mathematica with R.
Egads
A Java package to automatically detect anomalies in large scale time-series data
Fractional differencing gpu
Rapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.
Yuvi
Yuvi is an in-memory storage engine for recent time series metrics data.
Favorita sales forecasting
Solution to Corporación Favorita Grocery Sales Forecasting Competition
Pmdarima
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Tempdisagg
Methods for Temporal Disaggregation and Interpolation of Time Series
Agots
Anomaly Generator on Time Series
Heroic
The Heroic Time Series Database
Awesome Ai Ml Dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Darts
A python library for easy manipulation and forecasting of time series.
Akumuli
Time-series database
Getting Things Done With Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Rnn Time Series Anomaly Detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
Fecon235
Notebooks 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
Rrdtool 1.x
RRDtool 1.x - Round Robin Database
H1st
The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.
Tsfresh
Automatic extraction of relevant features from time series:
Ad examples
A 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.
Dcrnn
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
Matrixprofile Ts
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
Adtk
A Python toolkit for rule-based/unsupervised anomaly detection in time series
Rwa
Machine Learning on Sequential Data Using a Recurrent Weighted Average
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