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IPython

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  Analyzed 22 days ago

IPython: Productive Interactive Computing IPython provides a rich toolkit to help you make the most out of using Python interactively. Its main components are: - Powerful interactive Python shells (terminal-, Qt- and web-based). - Support for interactive data visualization and use of GUI ... [More] toolkits. - Flexible, embeddable interpreters to load into your own projects. - Tools for high level and interactive parallel computing. [Less]

29.3K lines of code

68 current contributors

about 1 month since last commit

464 users on Open Hub

High Activity
4.70103
   
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SHOGUN

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  Analyzed 17 days ago

The SHOGUN machine learning toolbox's focus is on large scale kernel methods and especially on Support Vector Machines (SVM). It comes with a generic interface for SVMs, features several SVM and kernel implementations, includes LinAdd optimizations and also Multiple Kernel Learning algorithms. ... [More] SHOGUN also implements a number of linear methods. It allows the input feature-objects to be dense, sparse or strings and of type int/short/double/char. It provides efficient implementations several kernels but also linear methods, hidden markov models etc. and interfaces to matlab,octave,python,R and has a cmdline interface and allows C++ extensions via a library. [Less]

260K lines of code

24 current contributors

21 days since last commit

11 users on Open Hub

Moderate Activity
5.0
 
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PyBrain

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  Analyzed 17 days ago

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 ... [More] , Artificial Intelligence and Neural Network Library. It's the Swiss army knife for machine learning and neural networking. [Less]

37.1K lines of code

0 current contributors

about 2 years since last commit

6 users on Open Hub

Inactive
5.0
 
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DeVIDE

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  Analyzed 2 months ago

DeVIDE, or the Delft Visualisation and Image processing Development Environment, is a cross-platform software framework for the rapid prototyping, testing and deployment of visualisation and image processing algorithms. The software was developed within the Visualisation group. DeVIDE's primary (and ... [More] currently only) front-end is a data-flow boxes-and-lines network editor. In this regard, it is very similar to AVS, OpenDX, Khoros or VISSION. DeVIDE integrates functionality from libraries such as VTK, ITK, GDCM, DCMTK, numpy and matplotlib. It is being very actively developed. [Less]

0 lines of code

0 current contributors

0 since last commit

5 users on Open Hub

Activity Not Available
4.0
   
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Mostly written in language not available
Licenses: BSD-3-Clause

VisTrails

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  Analyzed 21 days ago

VisTrails is a new scientific workflow management system developed at the University of Utah that provides support for data exploration and visualization. Written in python, it has a visual programming interface for many libraries, including VTK.

508K lines of code

0 current contributors

about 3 years since last commit

3 users on Open Hub

Inactive
5.0
 
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pyspread

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  Analyzed 21 days ago

Pyspread is a non-traditional spreadsheet application that is based on and written in the programming language Python. The goal of pyspread is to be the most pythonic spreadsheet. Pyspread expects Python expressions in its grid cells, which makes a spreadsheet specific language obsolete. Each ... [More] cell returns a Python object that can be accessed from other cells. These objects can represent anything including lists or matrices. Pyspread is designed for Linux and other GTK platforms. Windows is also supported. [Less]

15.5K lines of code

3 current contributors

25 days since last commit

3 users on Open Hub

High Activity
3.0
   
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dicompyler

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  Analyzed 17 days ago

dicompyler is an extensible radiation therapy research platform based on the DICOM standard. It is written in Python and is built on pydicom, wxPython, and matplotlib and runs on Windows, Mac OS X and Linux.

6.02K lines of code

1 current contributors

about 2 months since last commit

2 users on Open Hub

Very Low Activity
5.0
 
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seaborn

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  Analyzed 22 days ago

Statistical data visualization using matplotlib

16.3K lines of code

13 current contributors

23 days since last commit

2 users on Open Hub

Moderate Activity
0.0
 
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grave

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  Analyzed 23 days ago

Grave: dead simple network (graph) drawing

1.73K lines of code

0 current contributors

over 1 year since last commit

1 users on Open Hub

Very Low Activity
0.0
 
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Licenses: No declared licenses

pyQPCR

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  Analyzed 2 months ago

pyQPCR is a GUI application written in python that deals with quantitative PCR (QPCR) raw data. Using quantification cycle values extracted from QPCR instruments, it uses a proven and universally applicable model to give finalized quantification resu

15.5K lines of code

0 current contributors

over 4 years since last commit

1 users on Open Hub

Activity Not Available
0.0
 
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