Showing 8 open source projects for "python text parser"

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  • 1
    JDynamiTe, Dynamic Template in Java

    JDynamiTe, Dynamic Template in Java

    Dynamically generate documents from templates

    JDynamiTe is a tool which allows you to dynamically create documents in any format from "template" documents. And very few lines of code (or no line at all!) are needed to do that. Some typical usage domains of JDynamiTe are: - dynamic Web pages creation, - text document generation, - source code generation... In fact, it can be useful in any case where pre-defined documents (templates) have to be dynamically populated with data. The main benefit of JDynamiTe is to allow a true...
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  • 2
    Markout is a pure-Java lightweight wiki markup parser based on John Gruber's Markdown.
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  • 3
    Luci is an accessibility tool (html parser written in Perl) designed to provide users with a text-only experience of a web site. Inspired by the Betsie project, Luci offers features such as ssl, cookies, frames, 401 authorization (ie. htaccess), etc...
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  • 4
    This is simple and tiny template framework module. It processing is speedy. And provides extract variables, dictionary reference and sequencial variable loop. Import a tinpy module and call the build function, so it became generate document with templat
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  • 5
    Mamba is a extensible xml templates preprocessor wrote in Python. Using it, you can rapidly develop powerful applications ready to integrate with the internet. It can be used to work as a generic CGI program or for generate content.
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  • 6
    POST (Python Obviously Simple Text) provides support for simple, flexible dynamic document generation in multiple output formats. Supports inputs in text or XML, outputs in HTML, PDF, RTF, LaTeX source, nroff source, postscript, and plain text.
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  • 7
    Uses PCRE to get title, description, keywords, redirect, no index or no follow, hrefs, base tag, frames, img alt text, area hrefs, and plaintext.
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  • 8
    Frosttie (FROnt-end SchemaTron Text Internet Engine) takes XHTML pages and processes them with various user-definable filters such a W3C's WAI, Section 508 (US) web usability compliance, ad removal, etc. It can be used with zKnowMan.
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