PDF::Template is a layout system that creates Adobe PDF files from the same
data structure used by HTML::Template.
Currently, the only renderer support is pdflib_pl, which is from PDFLib
(www.pdflib.com). There is a free version (PDFLib Lite), but that does not
handle Unicode. If you need CJK fonts, you will need to purchase the full
version of PDFLib from them.
YaTeX automates typesetting and previewing of LaTeX and enables
completing input of LaTeX mark-up command such as `\begin{}'..`\end{}'.
YaTeX also supports Demacs which runs on MS-DOS(386), Mule (Multi
Language Enhancement to GNU Emacs), and latex on DOS.
Yahtml is a brand new package for writing HTML files with Emacs. It is
very far from html-mode, html-helper-mode or other existing HTML modes.
It is a good successor of YaTeX in HTML world.
Pyteomics is a collection of lightweight and handy tools for Python
that help to handle various sorts of proteomics data. Pyteomics
provides a growing set of modules to facilitate the most common
tasks in proteomics data analysis, such as:
* calculation of basic physico-chemical properties of polypeptides:
. mass and isotopic distribution
. charge and pI
. chromatographic retention time
* access to common proteomics data:
. MS or LC-MS data
. FASTA databases
. search engines output
* easy manipulation of sequences of modified peptides and proteins
PyBrain is a modular Machine Learning Library for Python.
It's goal is to offer flexible, easy-to-use yet still powerful
algorithms for Machine Learning Tasks and a variety of
predefined environments to test and compare your algorithms.
PyBrain is short for Python-Based Reinforcement Learning,
Artificial Intelligence and Neural Network Library. In fact,
we came up with the name first and later reverse-engineerer
this quite descriptive "Backronym".
The tool is a simple flow-analyzing passive L7 fingerprinter. It
examines the sequence of client-server exchanges, their relative
layer 7 payload sizes, and transmission intervals (as opposed to
inspecting the contents, which is what most passive fingerprinters
and "smart" sniffers would do to analyze transmissions). This is
then matched against a database of traffic pattern signatures to
infer some interesting facts about the traffic.
According to the Wikipedia, a nonce is an arbitrary number used only
once in a cryptographic communication. This package contain helper
functions for generating nonces. There are many kinds of nonces used in
different situations. It's not guaranteed that by using the nonces from
this package you won't have any security issues. Please make sure that
the nonces generated via this package are usable on your design.
The Digest::SHA1 module allows you to use the NIST SHA-1 message
digest algorithm from within Perl programs. The algorithm takes as
input a message of arbitrary length and produces as output a 160-bit
"fingerprint" or "message digest" of the input.
You will need Perl version 5.004 or better to install this module.
Copyright 1999-2001 Gisle Aas.
Copyright 1997 Uwe Hollerbach.
This library is free software; you can redistribute it and/or
modify it under the same terms as Perl itself.
Module::Signature adds cryptographic authentications to CPAN
distributions, via the special SIGNATURE file.
If you are a module user, all you have to do is to remember
running "cpansign -v" (or just "cpansign") before issuing
"perl Makefile.PL" or "perl Build.PL"; that will ensure the
distribution has not been tampered with.
For module authors, you'd want to add the SIGNATURE file to
your MANIFEST, then type "cpansign -s" before making a distribution.
Digest::SHA3 is a complete implementation of the NIST SHA-3 cryptographic hash
function, as specified in Draft FIPS 202 (SHA-3 Standard: Permutation-Based
Hash and Extendable-Output Functions).
The module gives Perl programmers a convenient way to calculate SHA3-224,
SHA3-256, SHA3-384, and SHA3-512 message digests, as well as variable-length
hashes using SHAKE128 and SHAKE256. Digest::SHA3 can handle all types of input,
including partial-byte data.
LibreSSL is an open-source implementation of the Secure Sockets Layer (SSL) and
Transport Layer Security (TLS) protocols. It was forked from the OpenSSL
cryptographic software library in April 2014 as a response by OpenBSD
developers to the Heartbleed security vulnerability in OpenSSL,
with the aim of refactoring the OpenSSL code so as to provide a more secure
implementation.
LibreSSL was forked from the OpenSSL library starting with the 1.0.1g branch
and will follow the security guidelines used elsewhere in the OpenBSD project.