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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).