Overview

We created a set of add-ins and templates which help you to start using TIM as quickly as possible, also on other platforms. Bring your data and let the TIM do the rest.

Check what you can do on individual platforms. Some are still in development, and plenty of others are on our roadmap.

Platform Workload Description Status
Alteryx Time series forecasting Tool using RTInstantML technology Deployed
Alteryx Time series anomaly detection Building TIM Anomaly Detection model and in-sample detection on time series data Deployed
Alteryx Time series anomaly detection Out of sample detection with TIM Anomaly Detection on time series data Deployed
Amazon Web Services The TIM Engine The TIM Engine as a BYOL listing, available on the AWS marketplace. Deployed
Azure The TIM Engine The Tim Engine as a SaaS listing, transactable via the Azure Marketplace. Deployed
Azure Data Factory Orchestration Set of templates that work out of the box to orchestrate forecasting process, works in connection with TIM Studio Deployed
Microsoft Excel Time series forecasting Add-in using RTInstantML technology Deployed
Microsoft Power BI Time series forecasting and anomaly detection Power BI Desktop file showcasing integration of TIM's capabilities in Power BI trhough use of the Python client Deploted
Python Client Time series forecasting and anomaly detection Python client introducing an easy and fast way to use the TIM API in your Python project Deployed
Qlik Sense Time series forecasting SSE using RTInstantML technology Deployed