# Integrations

Evidently can be easily integrated with other tools to fit into the existing workflows.

Below are a few specific examples of how to integrate Evidently in the prediction pipelines. You can adapt them for other workflow management, visualization, and tracking tools.

### 1. Real-time ML monitoring with Grafana

{% content-ref url="/pages/anZ5mKNtFcyqlOAOjPVY" %}
[Evidently and Grafana](/v0.1.57/integrations/evidently-and-grafana.md)
{% endcontent-ref %}

![](/files/3lGDGrY54uhdDgTKW5mN)

### 2. Data and ML model checks with Airflow

{% content-ref url="/pages/hmvxQcCDdXM0KAKwhA37" %}
[Evidently and Airflow](/v0.1.57/integrations/evidently-and-airflow.md)
{% endcontent-ref %}

![](/files/4BF1Nyxppl5Y9dzc5MsJ)

### 3. Log Evidently metrics in MLflow UI

{% content-ref url="/pages/2VpqjCdne3SsZJdwF3tp" %}
[Evidently and MLflow](/v0.1.57/integrations/evidently-and-mlflow.md)
{% endcontent-ref %}

![](/files/zNYsXsgxUmMRCQKxUby3)


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# 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/v0.1.57/integrations.md?ask=<question>
```

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.