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Welcome to the SciPy Toolkits
Scipy Toolkits are independent and seperately installable projects hosted under a common namespace. Packages that are distributed in this way are here (instead of in monolithic scipy) for at least one of three general reasons. Each of these reasons use the same high-level namespace (scikits).
- The package is deemed too specialized to live in scipy itself, but is targeted at the same community.
- The package has a GPL (or similar) license which is too restrictive to live in scipy itself.
- The package is meant for eventual inclusion in the scipy namespace but is being developed as a separately installed package. It is generally the responsibility of the package writer to push for inclusion into SciPy if that is the desire. However, some packages may be moved into SciPy by other interested SciPy developers after approval by the SciPy steering committee.
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- Documentation: http://stefanv.github.com/scikits.image
- Development: http://github.com/stefanv/scikits.image
- Post-1.0 Release Discussion
- Audiolab is a package for audio file I/O: it can be used to import audio files data directly into numpy array, and export data in numpy array into audio files
- It work by wrapping sndfile, and supports all the file formats supported by your installed sndfile. Among supported file formats: wav, aiff, htk, ircam, flac and ogg.
- Two api are provided:
- A matlab-like API, to give similar functionalities to matlab (wavread, aiffread, oggread, flacread, etc...).
- A more complete API is also available to seek into files, control the array dtype, the file encoding.
- Starting from version 0.9, I have started adding sound IO backend. to output the content in a numpy array to the sound device on your computer. 0.9 has an ALSA backend (for Linux support), 0.10 will have Core Audio backend (for Mac OS X).
- Learn is a set of packages for machine learning. It has started a few weeks ago (eg May/June 2007) as a Summer of Code by me (http://www.scipy.org/DavidCournapeau). Nothing is released yet: I hope to have a first release ready for mid-august.
- More information can be found on MachineLearning, including the original proposal, as well as some ideas flying around.
- Provide constrained and unconstrained optimizers
- Propose a new optimization framework
- Optimization framework with connection to lots of solvers
- license of the framework is BSD, connected solvers - any license (download URLs are provided)
- some native Python-written solvers, constrained and unconstrained (BSD)
- graphical output is available
- SWIG wrapper for the Approximate Nearest Neighbor Library
- kdtree implementation with numpy support
- supports k-nearest neighbor and approximate k-nearest neighbor calculations
- Samplerate is a package for high quality audio resampling. It work by wrapping SRC.
- based on sinc interpolation, not the traditional polyphase filter bank approach.
- The timeseries scikits module provides classes and functions for manipulating, reporting, and plotting time series of various frequencies
- Delaunay triangulation. Browse source with Trac
- svn checkout: svn co http://svn.scipy.org/svn/scikits/trunk/delaunay
- Talkbox is an experimental scikits to implement some common signal/speech processing functions, such as parametric/non-parametric spectral estimation, resampling, speech-related feature computation (mfcc, mel filterbank, etc...)
- Talkbox scikits is not this, although the pun is certainly intended.
- RSFormats is a collection of tools for reading Remote Sensing Formats. Currently it contains an ODL parser which requires pyhdf. Note that the parser does not support the full ODL specification.
- svn checkout: svn co http://svn.scipy.org/svn/scikits/trunk/rsformats
Visualization of vector fields.
- Line integral convolution algorithm.
- Subversion checkout: svn co http://svn.scipy.org/svn/scikits/trunk/vectorplot
- Source tarball