Search Results for "cobol copybook parser"

CB2XML (CopyBook to XML) is a COBOL CopyBook to XML converter written in Java and based on the SableCC parser generator. This project includes utilities to convert an XML instance file into its COBOL copybook equivalent string buffer and vice versa. Source is now available in GitHub: https://github.com/bmTas/cb2xml

The RecordEditor is a Data File editor for Flat Files (delimited and fixed field position). It supports Unix / PC / Legacy (e.g. Mainframe) file formats, both Text and binary files. The Editor uses a Record-Layout description to format the files. This is ideal for Fixed width (Text or Binary) files, Cobol Data Files, Mainframe files and complicated Csv files. Cobol Copybooks can be used to format Cobol Data files. As well as an editor, The following utilities are supplied * Formatted...

This project has moved to GitHub ! The version here at SourceForge will remain for historic purpose. Koopa is a parser generator, made for COBOL. It can handle source files in isolation (no preprocessing required) and doesn't mind the presence of CICS/SQL fragments. The grammar is easily extensible in a way which minimizes the impact on the overall code.

Stingray contains a number of components for reading spreadsheets and other flat files. It copes with COBOL files (in EBCDIC) and even COBOL Copybook (or DDE) definitions. Simple Python programs can handle a wide variety of files. This is the Python3.3 release.

Parses and formats positional and CSV data into and from Java Objects based on a layout defined in xml format. Particularly useful for developers that need to integrate Java with legacy systems/languages that only understand positional data (i.e.: Cobol).

This program is intended to process an XML formatted file of data in one pass rather than record by record. The program does not handle "Attributes".

Dynamic COBOL copybook parser for Java. Supports parsing and writing of application data based on parsed copybooks. Coverts COBOL types to Java types and back to COBOL types with validation.

Parse, analyze and -- most importantly -- use COBOL data definitions. This gives you access to COBOL data from Python programs. Write data analyzers, one-time data conversion utilities and Python programs that are part of COBOL systems. Really.