Continuum Analytics released Wakari (www.wakari.io) version 1.0, a cloud-based, collaborative Python environment for analyzing, exploring and visualizing large data sets.
* Access to a full range of Amazon AWS compute nodes and clusters * Share analyses and results via IPython notebook (https://www.wakari.io/gallery) * SSH access * Visualize with Matplotlib or Bokeh * Bundling sharing (files, folders, and corresponding Python library dependencies) * Switch between multiple versions of Python and its scientific libraries * Collaborate and iterate in the cloud * Share code and results as simple web URLs * Hosted on Amazon’s Elastic Compute Cloud (EC2) or on private installations Wakari documentation (https://www.wakari.io/docs/) Free and paid plans available at www.wakari.io. - Free plan includes 10 GB of storage, as well as a number of sample data sets - Premium plans offer increased RAM and disk space, SSH access, long-running jobs, the ability to add nodes/clusters, and access to high-memory compute nodes - Private installations of the entire Wakari system onto internal hardware or private clouds, contact sales[at]continuum[dot]io. Source: http://continuum.io/press/wakari-1-0-release -- http://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
