Explore MAST Data in the Cloud with TIKE

About this Article

We are pleased to announce the availability of the Timeseries Integrated Knowledge Engine (TIKE), a JupyterHubservice to freely explore cloud-hosted MAST data from your web browser. The TIKE computing environment is pre-configured with over 20 community Python packages, with an initial focus on analysis of timeseries data from Kepler, K2, and TESS.

To enable new modes of data access, STScI hosts the public HST, Kepler, K2, and TESS mission data products in the AWS Open Data Program. TIKE provides each user with a JupyterLab server running in the same AWS region, removing the need to transfer files over the internet before engaging with them. To get started, navigate to https://timeseries.science.stsci.edu and log in with your MyST account (TIKE does not require an AWS account)!

TIKE includes introductory notebooks and tutorials on how to access MAST data in AWS and how to manage the computing environment. This material can also be found in GitHub at the TIKE repositoryand the STScI Notebooks repository. TIKE and STScI's JupyterHub services are under active development, so check back often for updates, and we welcome feedback, suggestions, and contributions.

TIKE represents a prototype architecture for increasing the accessibility of data archived by MAST at STScI. It continues efforts to host JupyterHub platforms supporting classes and workshops to offer a permanent, secure, general computing platform for the MAST user community. Questions may be directed to the Archive Help Desk.