Search Results for "plotting csv data"

SoaBox lets you create a virtual version of your SOA environment. Clients (WS-Webservices,RESTful, JMS, HTTP, FTP, Filesystem, POJOs/Custom Code), servers (HTTP/Endpoints) and data (XML, SOAP, CSV, etc). It's written in Java and runs with JBoss 5.x and 6.x

The CSV Transformer is a data processing tool which transforms .xml-Files to comma separated values. The CSV Transformer was created in a load and performance testing project, the use case was to be able to transform 2800 configuration files of a big banking application to a single .csv-File. With this single file it was possible to compare the whole configuration between two releases with the already available tool CSV Comparator.

Cutplace validates tabular data (CSV, fixed format) according to an interface control document (ICD). The ICD acts as executable specification and can be described using popular spreadsheet applications (Calc, Excel).

AwkStatistics is a script which is used to generate statistical data for csv data by using awk. It takes two columns from the input file, one is used to identify the row(option -i) and the other one is the column where the values are taken from (option -v). The script was designed for performance engineers to be able to analyze CSV-Data on the fly and have a good possibility to automate the analysis process.

Xuse manages requirements, use cases & other artefacts that drive software design. Xuse focuses on clear documentation & communication. It defines an XML data model for requirements & use cases with XSLT providing multiple derived views: HTML/SVG/PDF. Note there is no GUI for entering requirements, however another project (https://sourceforge.net/projects/xguse/) will provide a GUI.

CSV for Java provides a Java API for reading/writing CSV files as well as command-line tools supporting transformations and file comparisons. Useful for both developers and testers using CSV files for their work.

PyMetrics produces metrics for Python programs. Metrics include McCabe's Cyclomatic Complexity metric, LoC, %Comments, etc. Users can also define their own metrics using data from PyMetrics. PyMetrics optionally outputs stdout, SQL command files and CSV