Search Results for "python text parser"

The devdocs repository powers the DevDocs web application, a fast, offline-friendly documentation browser for many programming languages, libraries, and APIs. It aggregates documentation from multiple sources (e.g., MDN, Python, Ruby, Git, etc.), converts them into a uniform format, and indexes them for instant text searching. The codebase includes a backend that handles ingestion, parsing, and transformation of documentation sources into a static site structure, as well as the client side UI code for browsing, searching, and reading docs in a responsive interface. ...

Powerful command line and configuration file parsing for C++, Python, Ruby and Java (others to come). This tool provides many features, such as separate treatment for options, variables, and flags, unrecognized object detection, prefixes and much more.

I wrote Slength while working on my SQL Final project--you see, in an SQL database when you want to store a string of text in a field you have to declare the field's type as a varchar and give it a maximum length; I wrote slength to help me figure out how long I would need to set any given varchar field. Slength was originally written in Perl, then rewritten in Python, and is now currently developed in Ruby.

Waxeye is a parser generator based on parsing expression grammars (PEGs). It supports C, Java, Javascript, Python, Ruby and Scheme.

Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.

A Ruby file parser/interpreter/preprocessor that comments lines of code based on conditions at the time the file is required. Very handy to implement debugging logs and code that has to be commented (not just dynamically switched off).

A collection of open source libraries and tools that provide solutions for common problems in processing Arabic text, especially in web applications. text normalization, phrase segmentation, text indexing, stop word lists, common spelling mistakes.