Search Results for "indicators"

Indicators is a Julia package offering efficient implementations of many technical analysis indicators and algorithms. This work is inspired by the TTR package in R and the Python implementation of TA-Lib, and the ultimate goal is to implement all of the functionality of these offerings (and more) in Julia. This package has been written to be able to interface with both native Julia Array types, as well as the TS time series type from the Temporal package.

This package provides a flexible & efficient time series class, TS, for the Julia programming language. While still early in development, the overarching goal is for the class to be able to slice & dice data with the rapid prototyping speed of R's xts and Python's pandas packages, while retaining the performance one expects from Julia. See the documentation for a more in-depth look at the package and some of the pain points it may solve when doing technical research with time series data.

Sampler is a real-time monitoring dashboard that allows developers to track various metrics, system information, and custom data sources via a terminal interface.

This library, then DLL, designed for use with weighing terminal CI-5010A on the RS-422/485 or RS-232 via a physical or virtual COM port over USB in OS NT/2000/2003/XP/Vista/7/8 and reads and decodes the data of the operation, gross weight, net weight, unit number, value and sign weight, units and features indicators. Restoring communications using virtual serial port automatically. ORDER use and limitations: 1. You can optionally set the COM port in the procedure 'reinit()' with constantly raised the flag of activation in the library is being processed. 2. Parameter gl_count procedure 'getdata' indicates the number of received packets of COM-port. 3. ...

ViSoR provides a visualization of several social indicators, statistics and crimes for the Ruhr Area in Germany. It allows users to view and compare particular suburbs or regions in this area.

SIRS stands for "Smart Indicators for Reflection Support". SIRS is a framework for developing Indicators on top of sensor networks in web-based and ambient environments for data aggregation, information visualization and context adapation.