An event based CSV parser
fast-csv formatting module
CSV parser and writer
fast-csv parsing package
CSV parsing implementing the Node.js `stream.Transform` API
CSV stringifier implementing the Node.js `stream.Transform` API
Streaming CSV parser that aims for maximum speed as well as compatibility with the csv-spectrum test suite
A mature CSV toolset with simple api, full of options and tested against large datasets.
A JSON to CSV and CSV to JSON converter that natively supports sub-documents and auto-generates the CSV heading.
CSV and object generation implementing the Node.js `stream.Readable` API
Fast and powerful CSV parser for the browser that supports web workers and streaming large files. Converts CSV to JSON and JSON to CSV.
A CSV stream reader, with many many features, and ability to work with the largest datasets
Convenient parsing for Fetch.
Convert objects/arrays into a CSV string or write them into a CSV file
TypeScript definitions for react-csv
Object transformations implementing the Node.js `stream.Transform` API
Advanced Data Grid / Data Table supporting Javascript / Typescript / React / Angular / Vue
A tool concentrating on converting csv data to JSON with customised parser supporting
CLI tool to convert CSV events to ICS calendar format with smart field mapping and validation
Easily create CSV data from json collection
Build CSV files on the fly basing on Array/literal object of data
Fast CSV parser
Node's event emitter for all engines.
Universal wrapper for the Node.js events module
Allows for inspection, filtering, printing and saving of csv containing list of event attendees through CLI.
This gem is a logstash plugin required to be installed on top of the Logstash core pipeline using $LS_HOME/bin/plugin install gemname. This gem is not a stand-alone program
This gem is a logstash plugin required to be installed on top of the Logstash core pipeline using $LS_HOME/bin/plugin install gemname. This gem is not a stand-alone program
A logstash plugin that can merge data from CSV, YAML, and JSON files with events.
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.
== DESCRIPTION: RubySync is a tool for synchronizing part or all of your directory, database or application data with anything else. It's event driven so it will happily sit there monitoring changes and passing them on. Alternatively, you can run it in one-shot mode and simply sync A with B. You can configure RubySync to perform transformations on the data as it syncs. RubySync is designed both as a handy utility to pack into your directory management toolkit or as a fully-fledged provisioning system for your organization. == FEATURES/PROBLEMS: * Event-driven synchronization (if connector supports it) with fall-back to polling * Ruby DSL for "configuration" style event processing * Clean separation of connector details from data transformation * Connectors available for CSV files, XML, LDAP and RDBMS (via ActiveRecord) * Easy API for writing your own connectors == SYNOPSIS:
Simple game simulation Ruby program written for the online Ruby Programming course from The Pragmatic Studio. Create a csv file (or use the provided file 'players.csv') that contains the player names and their initial health, and give that file as an argument to bin/studio_game. The game simulation will add two specialized players and then run a user-specified numbers of rounds, randomly assigning, or inflicting, game events on the various players, printing individual round results and a final summary at the end.
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