## Profiling and popularity

URL: https://docs.atlan.com/product/capabilities/build-apps/sdks/python/profiling/how-tos

> Retrieve profiling data and asset popularity statistics programmatically using the Atlan Python SDK (pyatlan).

# Profiling and popularity

Atlan crawls additional context from some sources, to give you information on the values that exist within the data and how the data is used.

## Profiling

Profiling gives additional context to columns in relational stores. From profiling, you can see various summarized information such as:

- numerical statistics (min, max, mean, median, standard deviation, sum, variance) for numeric columns
- minimum, maximum, and average lengths for string columns
- distinct value counts and percentages
- missing value counts and percentages

> **Warning: Profiling is _only_ available on columns**
>
> You will only be able to populate this summary information on columns, not on other assets in Atlan.

## Popularity

Popularity gives additional context on how assets are being used. From popularity, you can see information such as:

- which users are querying assets
- the costs associated with those queries
- how long the queries run
- the queries themselves

This information can be populated on all assets in Atlan.

_Last updated: 15 May 2026._

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