> For the complete documentation index, see [llms.txt](https://manot.gitbook.io/manot/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://manot.gitbook.io/manot/product-guide/using-manot-with-activeloop.md).

# Using Manot With Activeloop

Integrating Manot with Activeloop

<figure><img src="https://4027756909-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fcd2vdcgRkDxv78ONCpVW%2Fuploads%2F4retbm0PVkyp8TYfTBGJ%2Fmanot-active.jpg?alt=media&amp;token=bf872a5b-abfb-45af-8975-f5e23bbf33a9" alt=""><figcaption></figcaption></figure>

We're excited to share the news that you now have the ability to monitor your model's performance on your Deep Lake datasets, thanks to the collaboration between Activeloop and Manot. This integration will prove to be extremely valuable in a range of applications, including surveillance ML, autonomous vehicles & robotics, and image search. You can find full details of how to utilize Activeloop and Manot in our extensive [blog post here](https://www.activeloop.ai/resources/how-to-monitor-models-in-production-with-activeloop-manot/).

You can also find sample implementations using Manot and Activeloop's integration blow.

* [Classification example](https://github.com/manotai/manot-client/blob/main/notebooks/Deeplake%20Classifications.ipynb)
* [Detections example](https://github.com/manotai/manot-client/blob/main/notebooks/Deeplake_Detections.ipynb)

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