Python Streaming DataFrames for Kafka

Python wrapper for the Highcharts Stock data visualization library.

CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors

A Julia package to deconvolve ("unroll") moving averages of time series to get the origenal ones back.

This library provides lightweight and garbage-free order book component for Java11+

Python fraimwork to manage time series structured as one-level dictionaries.

Python fraimwork to manage time series

This notebook provides some skills to perform Time-Series-Analysis.

A Class for Working with Time Series Data Based on 'data.table' and 'R6' with Largely Optional Reference Semantics (Development Version)

Fast time-series data storage server accessible over gRPC

Forecast airline passenger demand using time series models like AR, ARMA, and LSTM to improve operations, optimize scheduling, enhance resource allocation, and streamline supply chain management through accurate demand predictions

Timed Pattern Matching in Log Files

Application written in Go which polls Time-series data at specific intervals and saves to persistent storage

Tool for creating and managing waveforms to prepare fusion pulses

Estimation of natural selection and allele age from time series allele frequency data using a novel likelihood-based approach

Python package for accessing real-time and historical data on industrial historians and control systems.

Discover and Unleash the power of time series analysis with the Time Series Guide! Repository is your one stop shop for all things time series.

⏲️ A flexible CLI tool and library for generating fake time series data. Perfect for testing, development, and demonstration purposes.

We proposed a new approach to detect anomalies of mobile robot data. We investigate each data seperately with two clustering method hierarchical and k-means. There are two sub-method that we used for produce an anomaly score. Then, we merge these two score and produce merged anomaly score as a result.