Description: PAIDA is pure Python scientific analysis package and implements
AIDA (Abstract Interfaces for Data Analysis). The main features are:
- Pure Python! (so works on both Python and Jython)
- Creating/Plotting the histogram, ntuple, profile and cloud
- Fitting parameter optimization with constraints and its parabolic and
asymmetric error evaluation
- XML based storing
PySAL is a cross-platform library of spatial analysis functions written in
Python. It is intended to support the development of high level applications for
spatial analysis.
Ws2300 manipulates the LaCrosse WS-2300 weather station via its RS232
interface. It can read and write values, and can continuously log data from
WS-2300 to a file or SQL database.
scikit-learn is a Python module integrating classic machine learning
algorithms in the tightly-knit scientific Python world (numpy, scipy,
matplotlib). It aims to provide simple and efficient solutions to
learning problems, accessible to everybody and reusable in various contexts:
machine-learning as a versatile tool for science and engineering.
SciPy is an open source library of scientific tools for Python. SciPy
supplements the popular Numpy module, gathering a variety of high level
science and engineering modules together as a single package.
SciPy includes modules for graphics and plotting, optimization, integration,
special functions, signal and image processing, genetic algorithms, ODE
solvers, and others.
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".
PyNN (pronounced 'pine') is a simulator-independent language for
building neuronal network models.
SVMlight is an implementation of Vapnik's Support Vector Machine
[Vapnik, 1995] for the problem of pattern recognition, for the problem
of regression, and for the problem of learning a ranking function. The
optimization algorithms used in SVMlight are described in [Joachims,
2002a ]. [Joachims, 1999a]. The algorithm has scalable memory
requirements and can handle problems with many thousands of support
vectors efficiently.
The software also provides methods for assessing the generalization
performance efficiently. It includes two efficient estimation methods
for both error rate and precision/recall. XiAlpha-estimates [Joachims,
2002a, Joachims, 2000b] can be computed at essentially no
computational expense, but they are conservatively biased. Almost
unbiased estimates provides leave-one-out testing. SVMlight exploits
that the results of most leave-one-outs (often more than 99%) are
predetermined and need not be computed [Joachims, 2002a].
The sigrok project aims at creating a portable, cross-platform,
Free/Libre/Open-Source signal analysis software suite that supports
various device types, such as logic analyzers, MSOs, oscilloscopes,
multimeters, LCR meters, sound level meters, thermometers,
hygrometers, anemometers, light meters, DAQs, dataloggers,
function generators, spectrum analyzers, power supplies,
GPIB interfaces, and more.
sigrok-cli is a command-line tool written in C, which uses both libsigrok
and libsigrokdecode to provide the basic sigrok functionality from the
command-line. Among other things, it's useful for scripting purposes.
Crank is short for "CRyptANalysis toolKit", and its overall purpose is to
provide a powerful and extensible environment for solving classical
(pen-and-paper) ciphers, providing as much automation as possible. Classical
ciphers include common schemes like monoalphabetic substitutions, where each
letter of the alphabet is mapped to another (usually different) letter
consistently through the text. The first version of Crank is restricting
itself to these special ciphers. Other algorithms forever devoid of Crank's
attentions include Enigma, RSA, DES, MurkelFish, or anything else invented
after 1900. They're hard(er).