Browser-based Python & Linux environment for collaborative data analysis, exploration, and visualization
Accessed through your browser, Wakari is a ready-to-use, powerful, fully-configured Python analytics environment, available on almost any device. We believe that programmers, scientists, and analysts should spend their time analyzing data, not working to set up a system. Data should be shareable, and analysis should be repeatable. Reproducibility should extend beyond just code to include the runtime environment, configuration, and input data.
Wakari makes it easy to start your analysis immediately, without needing to install any software on your own computer.
Features of Wakari include:
- Full support for IPython notebooks, including the ability to view, edit, and share
- Hosted on EC2 with fast access to Amazon S3
- Create and share custom Python environments for enhanced collaboration
- Rich interactive Javascript and Bokeh plotting and Matplotlib
- Python 2.6, 2.7, 3.3, NumPy, SciPy, Pandas & more
- One-click switching between Python environments
- Use multiple versions of libraries at the same time
- Compilers and tools for installing advanced libraries
- Support for ipcluster
Premium Features include:
- Easy access to a full range of Amazon AWS nodes for maximum compute power
- Password-protection for data and notebooks
- Sandboxed Linux environment with SSH access
- Ability to perform batch (long running) jobs
- Additional nodes available on-demand
Sharing and Collaborative Analytics
- Share and replay analysis work-flows via IPython Notebook
- Share live, interactive web plots with a single URL
- Clone code into your own workspace with a single button
- Easily publish analyses to collaborators or to the public
- Facilitates rapid iteration in teams
Upcoming Features
- Enhanced plotting capabilities
- Batch & scheduled jobs
- Code sharing via Github
- Improved cluster management interface
- Support for additional languages
- Interactive data-backed widgets
Get Wakari Today |
Wakari.io |
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