# Integrations - [Integrations](https://docs-old.evidentlyai.com/integrations/integrations.md) - [Evidently integrations](https://docs-old.evidentlyai.com/integrations/integrations/evidently-integrations.md): Overview of the available Evidently integrations. - [Notebook environments](https://docs-old.evidentlyai.com/integrations/integrations/notebook-environments.md): Using Evidently in Colab and other notebook environments. - [Evidently and Airflow](https://docs-old.evidentlyai.com/integrations/integrations/evidently-and-airflow.md): Run model evaluation or data drift analysis as a part of Airflow DAG. - [Evidently and MLflow](https://docs-old.evidentlyai.com/integrations/integrations/evidently-and-mlflow.md): Log Evidently metrics in the MLflow UI. - [Evidently and DVCLive](https://docs-old.evidentlyai.com/integrations/integrations/evidently-and-dvclive.md): Log Evidently metrics with DVC via DVCLive. - [Evidently and Metaflow](https://docs-old.evidentlyai.com/integrations/integrations/evidently-and-metaflow.md): Run model evaluation or data drift analysis as Metaflow Flow and save the Evidently metrics in S3, visualizing it with the optional Metaflow UI. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs-old.evidentlyai.com/integrations.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.