# Profiling

## Overview

To get the calculation results as a JSON file, you should create a **Profile**.

JSON profiles help integrate Evidently in your prediction pipelines. For example, you can log and store JSON profiles for further analysis, or build a conditional workflow based on the result of the check (e.g. to trigger alert, retraining, or generate a visual report).

The profiles calculate the same metrics and statistical tests as visual reports. You can think about profiles as "JSON versions" of the Evidently dashboards.

To specify which analysis you want to perform, you should select a **Section**. You can combine several sections in a single Profile. Each section will contain a summary of metrics, results of statistical tests, and simple histograms that correspond to the chosen [Report](/v0.1.57/reports.md).

You can generate JSON profiles in Jupyter notebook, Colab and certain other notebooks, or use the command-line interface.

The requirements for the data inputs and column\_mapping are the same for Profiles and Dashboards.

You can also explore specific [integrations](/v0.1.57/integrations.md) to see how Evidently works with other ML tools.

## Supported environments

You can generate profiles in Jupyter notebook and other notebook environments, and in Command-Line interface.


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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/features/profiling.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.
