Search Results for "open personal data"

TarjaPDF v2.3 — Ferramenta de Tarjamento de Dados Pessoais e Sigilosos Proteja dados sensíveis em PDFs com segurança irreversível. Interface moderna (tema claro/escuro), marcação manual (texto, linha, área) e detecção automática de CPF, RG, e-mail, telefone, nomes e endereços, inclusive em PDFs digitalizados via OCR integrado, em todas as páginas. Scan inteligente com revisão antes de tarjar e relatório LGPD a cada operação. Security by Design: salva só como PDF-imagem, impedindo a...

The EpiDoc Collaborative is developing specifications and tools for standards-based, digital publication and interchange of scholarly and educational editions of documentary and literary texts like inscriptions and papyri. The link below will take you to the EpiDoc home page on this site.

PDF-Shuffler is a small python-gtk application, which helps the user to merge or split pdf documents and rotate, crop and rearrange their pages using an interactive and intuitive graphical interface. It is a frontend for python-pyPdf.

This module contains only a single new-style class, that is called textgrid. It's a string-based solution that allows you to present data converted to strings in ASCII-Style tables. Actually, the class doesn't support different dimensions for each row and column. Textgrid is an ASCII-Style table, easyly writable to a text file. It supports various operations, like writing in its cells, adding or deleting rows and columns, changing the measures of cells, and more. Textgrids allow to simply...

Simple, Pythonic, text processing, Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. TextBlob stands on the giant shoulders of NLTK and pattern, and plays nicely with both. Supports word inflection (pluralization and singularization) and lemmatization,...

PROJECT HAS MOVED: https://github.com/wiki2beamer

Multiple format bibliography processor in Python.

Contains a LaTeX style file and an associated GUI that allow for the annotation of LaTeX documents. Tracks changes made by multiple editors. This package provides a way for multiple authors to collaboratively edit a latex document.

ZML, the Zeitung Markup Language, is a simple CMS for small newspapers. It was specifically designed to publish a student newspaper in print and on the Web. It uses LaTeX and XHTML. So far, it is documented in German only.

Pybtex is a drop-in replacement for BibTeX written in Python.

SLIP is a quick, simple, and clean shorthand syntax for creating and editing XML data by hand.

Sed.py is a python module to provide a easy way to do text stream processing. Just like the name of module, it likes to do the work that sed can do. But not in sed's way, it's in Python's way. To use this module, the knowledge of regexp is necessary.

SchemaDoc is a XML-based markup language for documenting XML schemas. The work products include both the vocabulary and a set of tools for combining it with the schema source (e.g. a DTD) to produce documentation in HTML, XML DocBook, LaTeX, etc.

A simple diary for personal use

Unstructured text is no match for Litersta - see further details here: https://litersta.com Working with text now becomes effortless when paired with Litersta textual analytics software. Unlike database fields, which are easily queried, text contains unstructured data that must be parsed for key objects that can be transformed in to powerful metrics. Litersta - textual analytics - software leverages statistical algorithms to programmatically locate, and extract, overall document...