Free parsed software for mac

Some Functionality:

• Text.ParserCombinators.Poly - Currently re-exports Text.ParserCombinators.Poly.Plain. The name Poly comes from the arbitrary token type. Thus, you can write your own lexer if you wish, rather than needing to encode lexical analysis within the parser itself.
• Text.ParserCombinators.Poly.Plain - This is a fresh set of combinators, improving on the HuttonMeijer variety by keeping only a single success, not a list of them. This is more space-efficient, whilst still permitting backtracking. Error-handling is also much improved: there are essentially two kinds of failure, soft and hard. Soft failure just means that the current parse did not work out, but another parse might be OK. Hard failure means that no parse will succeed, because we have already passed a point of commitment. Thus you can give far more accurate error messages to the user, including multi-layered locations.
• Text.ParserCombinators.Poly.State - This is just like Poly, except it adds an arbitrary running state parameter.
• Text.ParserCombinators.Poly.Lazy - This is just like Poly, except it does not return explicit failures. Instead, an exception is raised. Thus, it can return a partial parse result, before a full parse is complete. The word partial indicates that, having committed to return some outer data constructor, we might later discover some parse error further inside, so the value will be partial, as in incomplete: containing bottom. However, if you are confident that the input is error-free, then you will gain hugely in space-efficiency - essentially you can stream-process your parsed data-structure within very small constant space. This is especially useful for large structures like e.g. XML trees.

Enhancements:

• Single bugfix: Text.Parse.parseFloat now accepts ordinary floating point notation, in addition to scientific (exponent) notation.
  

Requirements:

• GHC

iTuneXMLparser 1.0 is launched to be an essential and simple-to-use tool used to parse an iTunes XML exported library file and export the records as a text file (tab delimited). Text file (tab delimited) are ready to be imported in FileMaker and in any other database or spreadsheet application.

Jericho HTML Parser is an open source Java library allowing analysis and manipulation of parts of an HTML document, including server-side tags, while reproducing verbatim any invalid or unrecognized HTML.
Jericho HTML Parser also provides high-level HTML form manipulation functions.

Main features:
- - The presence of badly formatted HTML does not interfere with the parsing of the rest of the document, which makes the library ideal for use with "real-world" HTML that chokes other parsers.
- - PHP, JSP, ASP, PSP and Mason server tags are explicitly recognized by the parser. This means that normal HTML is still parsed properly even if there are server tags inside them, which is common for example when dynamically setting element attributes.
- - It is neither an event nor tree based parser, but rather uses a combination of simple text search, efficient tag recognition and a tag position cache. The text of the whole source document is first loaded into memory, and then only the relevant segments searched for the relevant characters of each search operation.
- - Compared to a tree based parser such as DOM, the memory and resource requirements can be far better if only small sections of the document need to be parsed or modified. Incorrect or badly formatted HTML can easily be ignored, unlike tree based parsers which must identify every node in the document from top to bottom.
- - Compared to an event based parser such as SAX, the interface is on a much higher level and more intuitive, and a tree representation of the document element hierarchy is easily created if required.
- - The begin and end positions in the source document of all parsed segments are accessible, allowing modification of only selected segments of the document without having to reconstruct the entire document from a tree.
- - The row and column number of each position in the source document are easily accessible.
- - Provides a simple but comprehensive interface for the analysis and manipulation of HTML form controls, including the extraction and population of initial values, and conversion to read-only or data display modes. Analysis of the form controls also allows data received from the form to be stored and presented in an appropriate manner.
- - Custom tag types can be easily defined and registered for recognition by the parser.
- - Built-in functionality to extract all text from HTML markup, suitable for feeding into a text search engine such as Apache Lucene.
- - Built-in functionality to render HTML markup with simple text formatting.
- - Built-in functionality to format HTML source code that indents elements according to their depth in the document element hierarchy.
- - Built-in functionality to compact HTML source code by removing all unnecessary white space.

aafigure will allow you to easily parse ASCII art figures and output them as SVG, PNG, JPEG, PDF and more. aafigure provides a Python package and a command line script.

System requirements:
- Python

RSS Growler 1.1a brings users a very useful menu bar item RSS reader which is similar to RSS Menu, but designed for use with Trac. It should also work with other RSS feeds, but will provide less compelling advantages. Specifically, RSS Growler is designed for developers working on projects that are using svn Trac integration to provide commit logs and diffs through RSS.

Major Features:

1. Multiple feed subscriptions + http authentication support
2. Growl notifications with revision number and commit log (full log if you make sure you are access an rss feed from Trac that is "verbose=on", which you get from checking "Show full log messages" before switching to the rss view)
3. Most recent listing of commits across all projects, with ability to customize which feeds are shown in the recent list
4. Cached downloading of links for recent rss items -- items in the recent list can be automatically downloaded and saved to disk as a webarchive so that when you click on the link in the rss menu, it will open the page cached off the disk automatically
5. Submenu with parsed urls or radars, allowing you to access these directly if they were in the commit log
6. Option to see each feed as a different item in growl, for customization per feed
7. Option to open up diff directly by clicking on growl notification

Requirements: Mac OS X 10.4 Tiger

JPEE 5.3 is described as a free yet effective email extraction, filterer, verifier, exporter, manager, and emailer utility all in one economical application. Take the bulk out of your email!

Major Features:

1. Complete Email Merge Solution
2. Unlimited Custom Tag support
3. Conditional Tag support
4. Inline Image Attachments
5. Custom Message Style Creation
6. Text OR HTML Message Editor
7. Message Custom Tag Preview
8. Custom Mail Header support
9. Scheduled Mailings
10. Multi-threaded
11. Customizable Import from CSV or TSV delimited lists
12. Customizable Import from vCard formated lists
13. Create and save multiple messages for each recipient list
14. Pre-Delivery E-mail Verification
15. Comprehensive Post-Delivery Verification and Feedback
16. Direct Sending using Internal Mail Transfer Agent
17. Authenticated SMTP delivery (Prompted or Unprompted)
18. SSL Secure Sending support
19. Multiple SMTP Account support
20. Filterable and Comprehensive Email Parsing Funtionality
21. Create Customized E-mail Data Parsing Scripts
22. Available for Windows, Mac OS X, Linux, Unix
23. Absolutely all non-malformed email addresses parsing from just about any data source imaginable.
24. Support for various filters including 'user defined' filters for parsing email addresses with regards to custom data included in the message headers.
25. Preference Panel that allow users complete control over the e-mail extraction parsing rules, including adding allowable characters, number of allowable digits, maximum and minimum address lengths.
26. Allows the ability to create 'user defined' rules for cleaning up consistently malformed list addresses.
27. Create personalized 'Parsing Scripts'. Users can specify a target string and start and end block, followed by a series of rules to extract and format consistent tags or headers from within a raw data file or directory and add them to a JPEE list to be exported in a format of their choice.
28. Support for removing addresses on mass from a derived file.
29. Status statistics with regards to duplicates and malformed addresses.
30. Extremely fast parsing.
31. Support for various delimiters including 'user defined' delimiters when exporting lists.

Requirements:

• Mac OS X 10.2 or higher
• Java 1.4.x or higher