Frequently Asked Questions


Q: What is Wakari?

A: Wakari is a browser-based data analytics and visualization tool. It is hosted in the cloud (Amazon EC2). Each Wakari node is configured with an extensive Python development environment using Anaconda from Continuum Analytics. With Wakari you can view, edit, and share IPython notebooks. If you need more compute power you can easily add Amazon AWS nodes and clusters to your account.

Q: How can I access my data from Wakari?

A: If your data is in csv files we recommend uploading the csv files to your Wakari account. If your data is stored in Amazon S3 you can access it directly from your Wakari scripts using the bot package and IOPro. See the public data examples in Wakari.

Q: Can I install other Python packages? How?

A: Yes. All Wakari environments are fully customizable. Start a shell terminal set to the environment you wish to customize and the install the Python package of your choice. You can use conda, pip, or easy_install. See the Customizing Documentation for more detailed instructions and examples.

Q: Can I create my own Python environments?

A: Yes. Using the conda command from the shell prompt, you can create new Python environments and include whatever packages you choose. All custom environments will automatically be added to the environment drop-down menus. Also, all Wakari environments can be shared with other Wakari users. This is a powerful and unique feature of Wakari. See the Sharing Documentation for more information.

Q: Is it possible to get a print view of my IPython notebooks?

A: Yes. Although our IPython notebook does not currently have a print view, you should be able to print your notebooks using your browser's regular printing capabilities.

Q: Where can I find examples of IPython notebooks?

A: The Wakari notebook gallery .

Q: How much storage and memory do I get?

A: Wakari has several different plans that provide various amounts of storage and compute power. See the Wakari Plans and Pricing page for details. Also, paid Wakari accounts can easily extend compute power by adding Amazon AWS compute nodes and clusters.

Q: If I have proprietary data or an internal cluster/cloud, how do I use Wakari?

A: We are working on a version of Wakari for Enterprise deployment. We recognize that many users have proprietary data and strict policies regarding cloud access. Follow us on Twitter at @ContinuumIO and @WakariIO to stay up-to-date with the latest news and announcements. Also, please e-mail us with specific questions regarding your requirements.

Q: What should I do if Wakari isn't functioning properly?

A: Try refreshing the page first. If that does not resolve the issue, select Restart from the drop-down menu under your username. This will reinitialize your Wakari session at a lower level.


If that does not work, ensure that you are using the latest version of your web browser (Chrome, Safari, or Firefox). Then log out, restart your browser, and log back in.

A problem that persists after all of the above measures have been taken may be due to certain internet ports being blocked. Wakari currently works over ports 4200-4235 and 9000-9035. If you are behind a firewall or proxy that could be blocking these ports, or if there is anything else that might be interfering with them, do what you can to open the ports and see if that helps.

If an aspect of Wakari still gives you trouble, contact us via e-mail (contact information can be found on the Wakari page of our website) or live chat for support.

Q: How do I suggest features that should be added?

A: Send an email with your suggestions to

Q: How do I suggest new public data sources?

A: Send an email with your suggestions to