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.
|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|