timeseries-data

A Node metrics library for measuring and reporting application-level metrics, inspired by Coda Hale, Yammer Inc's Dropwizard Metrics Libraries

Continuously evaluated, functional, incremental, time-series forecasting

The purpose of this project is to provide an API for manipulating time series on top of Apache Spark. Functionality includes featurization using lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, and downsampling & interpolation. This has been tested on TB-scale of historical data and is unit tested for quality purposes.

Client for Microprediction.Org

Simple app to generate hand-drawn time series

Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data.

Function to calculate consistency of phase at a given frequency across measurements

Ingest sample Market Orders Data feed from PubNub to Postgres with TimescaleDB extension installed and enabled for time series analysis.

A package for accessing InfluxDB from Laravel 5.5+, based on configuration settings.

NetCDF-CF Geometry and Timeseries Tools for R: https://code.usgs.gov/water/ncdfgeom

Collection of examples with LSTM recurrent neural networks

Performant, composable online learning

⏳ Time Series Tools R package provides a series of tools to simulate, plot, estimate, select and forecast different time series models.

Implementation of time series compression method based on the Facebook Gorilla paper

Cache for time series data

Using lstms to predict the Dow Jones Industrial Average(stock index) from news

The repository provides a synthetic multivariate time series data generator. The implementation is an extention of the cylinder-bell-funnel time series data generator. The scipt enables synthetic data generation of different length, dimensions and samples.

Function to calculate consistency of phase at a given frequency across measurements

Basic time-series setup, using "Air Quality" dataset. The Data was recorded from March 2004 to February 2005 (one year) and will enable us to produce the following aggregations using only Redis to do the aggregations and operations on the data

A project with tools for simple timeseries analysis

Cut the log file by time quickly by binary search

Example Datasource for Grafana, based on Vert.x and MongoDB

此项目是对时间序列分析内容的梳理，包括时间序列中的数据分析以及常用模型等。项目整体以实战为主。

A collection of data analysis tools for post-processing raw data and importing to python for further analysis.

Generator of the pseudorandom time-series data with capacity to emulate different trends (increasing, decreasing, steady etc.)

Predicting the time remaning for the next Earthquake. Kaggle Competition

High-level lib for reading and writing physiological data into mef file format using python wrapper pymef for meflib.

Get boundaries between recent timeframes

Apply SARIMA model to predict the numbers of tourist visiting Brazil in the future 12 months

Capstone project for Galvanize Data Science Immersive Program