# Managed Credentials

## Managing your Credentials with Activeloop

### Connecting Deep Lake Datasets to Activeloop Platform

Datasets in Activeloop storage are automatically connected to [Activeloop Platform](https://app.activeloop.ai/). Datasets in non-Activeloop storage (S3, GCS) can be connected to Activeloop Platform using the UI below:

{% embed url="<https://www.loom.com/share/1bc7a52dd1604d89b88d0a3643a6af54>" %}

#### Enabling Cross-Origin Resource Sharing (CORS)

In order to visualize you data, please enable CORS in the bucket containing the dataset by inserting the snippet below in the CORS section of the Permissions tab:

```
[
    {
        "AllowedHeaders": [
            "*"
        ],
        "AllowedMethods": [
            "GET",
            "PUT",
            "POST",
            "DELETE"
        ],
        "AllowedOrigins": [
            "*"
        ],
        "ExposeHeaders": []
    }
]
```

Once connected, datasets can be loaded in the Python API using their Deep Lake path or their cloud path:

* Using the Deep Lake path (`hub://org_name/dataset_name`) will automatically load the managed credentials required to authenticate with the cloud storage provider.
* Using the cloud path (`s3://bucket/...)`will require the user to specify credentials using the [API here](/v3.0.0/storage-and-credentials/storage-options.md).

### Managed Credentials UI

All managed credentials that are used by Deep Lake and Activeloop Platform can be added, renamed, edited, or deleted via the UI below:

{% embed url="<https://www.loom.com/share/36fdc1120fe1498d91236a6cb70df1e0>" %}


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