lihata is a compact textual language which can represent a tree of lists, hashes, and tables. The syntax tries to be minimal and flexible to allow formatting a lihata file to fit the context it represents. The source release contains an event and DoM parser and helper functions for maintaining lihata trees. lihata is a convenient language for both simple and complex configuration files and text representation of data files.
JWPL is a language independent, database-driven, high performance Wikipedia API that provides structured access to information nuggets like redirects, categories, articles, and link structure. It contains a Mediawiki Markup parser that can be used to further analyze the contents of a Wikipedia page or standalone with other text, TimeMachine, which reconstructs a snapshot of Wikipedia from a specific date, or multiple snapshots from a time span, and RevisionMachine, which offers efficient access to the history of articles using a dedicated storage format which decreases storage space by 98%. This enables random access to the whole revision history without requiring several terabytes of storage for a single Wikipedia dump.
LEPL is a recursive descent parser library written in Python. It is based on parser combinator libraries popular in functional programming, but also exploits Python language features. Operators provide a friendly syntax, and the consistent use of generators supports full backtracking and resource management. Backtracking implies that a wide variety of grammars are supported; appropriate memoisation ensures that even left-recursive grammars terminate.
Ell is a library to write EBNF grammars as C++ code for quick development of LL(n) parsers or similar applications. It is not a tool to generate parsers (like ANTLR): the grammar you write is directly embedded into your C++ code. The core library is very light (less than 2000 lines of headers) and written in generation templates to achieve the fastest execution. The service provided by Ell is very similar to what Boost Spirit provides, but with a simpler object model, and without the need of the Boost library (it only depends on STL).