Search Results for "linux excel"

*asammdf* is a fast Python parser and editor for ASAM (Associtation for Standardisation of Automation and Measuring Systems) MDF / MF4 (Measurement Data Format) files. It supports MDF versions 2 (.dat), 3 (.mdf) and 4 (.mf4). *asammdf* works on Python 2.7, and Python >= 3.4

An R package for metrology. metRology provides classes and calculation and plotting functions for metrology applications, including measurement uncertainty estimation and (eventually) inter-laboratory metrology comparison studies.

...: - Many applications allow an export of its data to CSV or Excel(were it could be saved to CSV) - It is possible to pre- and postprocess the data, e.g removing version numbers before comparing - It is easy to create CSV data from logfiles and other resources by using unix tools like sed or awk - CSV can be loaded into other applications, especially Excel, were it can be formatted by macros for analyzing.

this tool for test-data-generation receives an 'excel-sheet' as primary input. second important paramter is the 'number of test-records to produce'. The excel-data will be reused as long data is needed. This tool is hightly paramatrisazable by the use of 'xsl scripts'. data can be created, updated, modified and finally exported in a format of your choice Main Fuctions: (1) Generates Testdata (excel, xsl, xml) (2) Exports generated testdata in multiple formats (csv, excel, html, sql-insert...

The Yokogawa WT210 outputs a CSV file through its GPIB-USB interface. The CSV is not easily chartable in Excel/Libreoffice. This will parse the CSV in a way that makes it more easily charted.

Command-line tool to calculate error propagation. Generates the error formulas and applies them to the data.

Optex Analyzer is a software to analyze and compare algorithms to solve approximately optimization problems. It has a GUI that allows select a set of input files containing raw algorithm results. The analysis is shown with tables and charts.

A reliability demonstration chart (RDC) shows when failure observations indicate that a failure intensity objective has or has not been met. This project provides an Excel spreadsheet that produces an RDC from failure data and risk parameters.