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

Predict time-series with one line of code.

If you can measure it, consider it predicted

API 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

C library for Fearless Timeseries Logging

Time-Series Anomaly Detection Comprehensive Benchmark

Simple app to generate hand-drawn time series

Acquire and process live and historical air quality data without efforts. Filter by station-id, sensor-id and sensor-type, apply reverse geocoding, store into time-series and RDBMS databases, publish to MQTT, output as JSON, or visualize in Grafana. Data sources: Sensor.Community (luftdaten.info), IRCELINE, and OpenAQ.

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

openseries is a project with tools to analyze financial timeseries of a single asset or a group of assets. It is solely made for daily or less frequent data.

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

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

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

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

Performant, composable online learning

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.

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

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

Collection of examples with LSTM recurrent neural networks

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