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TopCoder Plugins
Hosts multiple plugins for use with the TopCoder client software used to compete at www.topcoder.com, a site dedicated to measuring programming talent. Plugin purpose is to parse problems and provide editing support. C++, C#, java
A Java program to parse chemical names using IUPAC nomenclature. The output can be either a visualisation of the molecule, or in a form for other programs to use (e.g. CML).
Ripsaw is a desktop application that allows you to create, edit, group and de/activate a regular expressions and then use them to parse input from a file or pasted in source. Ripsaw is built in Java and uses SWT for fast responsive forms.
Java File Parse is an XML based tool for reading, writing and translating text files. Although designed for database import, export and translation between databases. JFParse is ideal for parsing the contents of text files.
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Java API to process or parse HTML documents.
If your Java application needs or would like to be able to process some text in HTML format, you'd probably find this API interesting.
The Trace Sniffer application is designed to parse Oracle trace files generated through the use of the Oracle event trigger, 10046. It's purpose is to provide database users, administrators or developers, the opportunity to find problem areas with SQL st
The Personal Data Interchange (PDI) standard was initially developed by Versit for the communication of data including the popular vCard and vCalendar types.
This Java package allows a programmer to take an InputStream and parse its PDI data.
Suite of multi-language templating system classes, loosely based on PEAR/PHPlib template class. The classes may be used to parse any text based template (HTML, ASCII, text, etc).
Already available:
- JScript
- Python
- PHP
Planned:
- VBscript
- Ja
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StoffelLOC is a tiny tool to count Lines of Code. It can parse a single file or whole structures and it can be used to count more than just .java files. I started it because needed it to count the lines in Java Serverpages.
At the moment
Simple parser of log files and mailer of interesting rows
Program gets log file (or any other text file), parse every included row. In config file there are messages which must be included or needn't be. Every row is compared with regex. After parse rest of file there is created mail message which is send out. Program is coded in Java.
Java flat text parser. Parse any delimited or fixed width strings. Bind user friendly column names to text positions via XML. Easily parse strings, dates, doubles, integers, etc.
The application should take a directory and parse it recursively or not, and execute a given executor. The executors shuold be pluggable and rendered on the application's ui according to some strict rules.
EDIXML is a java toolkit to read, write and translate EDI files (UN/EDIFACT ISO9735).
EDIXML uses XML template files representing the structure and composition of an EDI file to parse EDI files into an XML translation.
XMLStruct is a code generation tool that produces Java classes to parse XML based on a schema description such as XMLSchema and a set of attached actions.
A MUD client completely written in java. It is especially designed for use with the Discworld MUD (discworld.atuin.net) but can be used with any other text based MUD. The program can parse ANSI colour control characters to enable coloured output.
The Microsoft Bytecode Engineering Library is a library written completely in Java that allows the user to parse, create, edit, and rewrite .NET assemblies. The code originally came from the University of Arizona. http://www.cs.arizona.edu/projects/mbel/
Danaides stores meta-data from biological banks in a graph databases as well as OBO formatted ontologies.
It also provides a web query interface to parse ontologies or extract nodes based on ontology requirements.
Example: Get all known elements that are in family of Fish (species ontology) AND a RNA (sequence ontology).
A tool to extract the information in any log file into a database. It has no inherent knowledge of particular log formats but by using inbuilt rules and asking a few simple questions should be able to parse any type of text log intelligently.