# Notify

In DataSpace, a **notification** can be created as a specific type of transformation. Unlike typical transformations that process or modify data, a notification transformation acts on the data that flows through the pipeline to trigger external communication. This allows users to send messages or alerts based on the results or contents of their data, rather than on system events or job status.

Since transformations are written in Python, users have full flexibility to define their own notification logic. A transformation can, for example, send a message to a team channel when a dataset reaches a certain value or include summary statistics in a Slack or Telegram message.

The following are reference implementations that demonstrate how to connect to external APIs for messaging

{% columns %}
{% column %}
{% content-ref url="/pages/935e9f03b4d0cce63ca36e3507f8d9937c0980af" %}
[Slack](/platform/transformation/notify/slack.md)
{% endcontent-ref %}
{% endcolumn %}

{% column %}
{% content-ref url="/pages/32002f277b64c69dd8552004858524c002da26ac" %}
[Telegram](/platform/transformation/notify/telegram.md)
{% endcontent-ref %}
{% endcolumn %}
{% endcolumns %}


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