Code Willing provides tools for research analytics and simulation testing.

CW ANALYTICS

Perform Analytics Research

CW Analytics is an exclusive extension for the open source application Jupyter Notebook built for analytics research. This Jupyter-based tool gives users the capability to spin up high-performance computing clusters with cost control to run research or simulation with multiple instances. This extension is baked with Code Willing's API to work directly with our CAS storage system.

With admin access, you have the ability to set costs for each user. You are provided with an overview of cost-per-user for EC2 and S3 instances, EC2 number of hours each user has used and S3 storage usage by each user.

Our analytics tool can run on any Jupyter supported language, with heavy focus on Python and R.

Features

Load Balancing Instances

This Jupyter-based tool gives users the capability to spin up high-performance computing clusters with cost control and load balancing.


Want to learn more about CW Analytics?

For more information about our anlaytics extension, please fill out our form.