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Wakari 1.0 Released (In-Browser Python Data Analytics Environment)

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Corinna Bahr

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May 22, 2013, 12:25:29 PM5/22/13
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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
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