Wakari.IO Web-based Python Data Analysis
From: Continuum Analytics Launches Full-Featured, In-Browser Data Analytics Environment by Corinna Bahr.
Continuum Analytics, the premier provider of Python-based data analytics solutions and services, today announced the release of Wakari version 1.0, an easy-to-use, cloud-based, collaborative Python environment for analyzing, exploring and visualizing large data sets .
Hosted on Amazon’s Elastic Compute Cloud (EC2), Wakari gives users the ability to share analyses and results via IPython notebook, visualize with Matplotlib, easily switch between multiple versions of Python and its scientific libraries, and quickly collaborate on analyses without having to download data locally to their laptops or workstations. Users can share code and results as simple web URLs, from which other users can easily create their own copies to modify and explore.
Previously in beta, the version 1.0 release of Wakari boasts a number of new features, including:
- Premium access to SSH, ipcluster configuration, and the full range of Amazon compute nodes and clusters via a drop-down menu
- Enhanced IPython notebook support, most notably an IPython notebook gallery and an improved UI for sharing
- Bundles for simplified sharing of files, folders, and Python library dependencies
- Expanded Wakari documentation
- Numerous enhancements to the user interface
This looks quite interesting. There is a free option if you are undecided.
I first saw this at: Wakari: Continuum In-Browser Data Analytics Environment.