Results for simple-event-statistics

Simple statistics supports counting events, store events and fetch events. The Core idea is that this module is cleared after a certain amount of time - and its content is logged.

Simple Statistics

A fast, efficient Node.js Worker Thread Pool implementation

High Performance Layer 1 / Layer 2 Caching with Keyv Storage

vfile utility to count messages per category: failures, warnings, etc

Angular CLI builder for ESLint

Very straightforward, event driven web crawler. Features a flexible queue interface and a basic cache mechanism with extensible backend.

Gathers usage statistics for components used during application development

Simple event emitter

Statistical routines and probability distributions.

No description provided.

A shim for the setImmediate efficient script yielding API

An asynchronous yieldable version of JSON.stringify and JSON.parse

construct pipes of streams of events

MCP server for Chrome DevTools

vaadin-input-container

Custom metrics for AWS

Vaadin accessibility helpers, mixins and controllers

vaadin-item

Vaadin component base mixins

An event emitter implementation with async support in mind

Vaadin field base mixins

A parser for the TypeScript doc comment syntax

GFM Markdown Wysiwyg Editor - Productive and Extensible

Geoptima is a suite of applications for measuring and locating mobile/cellular subscriber experience on GPS enabled smartphones. It is produced by AmanziTel AB in Helsingborg, Sweden, and supports many phone manufacturers, with free downloads from the various app stores, markets or marketplaces. This Ruby library is capable of reading the JSON format files produced by these phones and reformating them as CSV, GPX and PNG for further analysis in Excel. This is a simple and independent way of analysing the data, when compared to the full-featured analysis applications and servers available from AmanziTel. If you want to analyse a limited amount of data in excel, or with Ruby, then this GEM might be for you. If you want to analyse large amounts of data, from many subscribers, or over long periods of time then rather consider the NetView and Customer IQ applications from AmanziTel at www.amanzitel.com. Current features available in the library and the show_geoptima command: * Import one or many JSON files * Organize data by device id (IMEI) into datasets * Split by event type * Time ordering and time correlation (associate data from one event to another): ** Add GPS locations to other events (time window and interpolation algorithms) ** Add signal strenth, battery level, etc. to other events * Export event tables to CSV format for further processing in excel * Make and export GPS traces in GPX and PNG format for simple map reports The amount of data possible to process is limited by memory, since all data is imported in ruby data structures for procssing. If you need to process larger amounts of data, you will need a database-driven approach, like that provided by AmanziTel's NetView and Customer IQ solutions. This Ruby gem is actually used by parts of the data pre-processing chain of 'Customer IQ', but it not used by the main database and statistics engine that generates the reports.