SageMaker / Client / list_apps
list_apps#
- SageMaker.Client.list_apps(**kwargs)#
Lists apps.
See also: AWS API Documentation
Request Syntax
response = client.list_apps( NextToken='string', MaxResults=123, SortOrder='Ascending'|'Descending', SortBy='CreationTime', DomainIdEquals='string', UserProfileNameEquals='string', SpaceNameEquals='string' )
- Parameters:
NextToken (string) – If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
MaxResults (integer) – This parameter defines the maximum number of results that can be return in a single response. The
MaxResults
parameter is an upper bound, not a target. If there are more results available than the value specified, aNextToken
is provided in the response. TheNextToken
indicates that the user should get the next set of results by providing this token as a part of a subsequent call. The default value forMaxResults
is 10.SortOrder (string) – The sort order for the results. The default is Ascending.
SortBy (string) – The parameter by which to sort the results. The default is CreationTime.
DomainIdEquals (string) – A parameter to search for the domain ID.
UserProfileNameEquals (string) – A parameter to search by user profile name. If
SpaceNameEquals
is set, then this value cannot be set.SpaceNameEquals (string) – A parameter to search by space name. If
UserProfileNameEquals
is set, then this value cannot be set.
- Return type:
dict
- Returns:
Response Syntax
{ 'Apps': [ { 'DomainId': 'string', 'UserProfileName': 'string', 'SpaceName': 'string', 'AppType': 'JupyterServer'|'KernelGateway'|'DetailedProfiler'|'TensorBoard'|'CodeEditor'|'JupyterLab'|'RStudioServerPro'|'RSessionGateway'|'Canvas', 'AppName': 'string', 'Status': 'Deleted'|'Deleting'|'Failed'|'InService'|'Pending', 'CreationTime': datetime(2015, 1, 1), 'ResourceSpec': { 'SageMakerImageArn': 'string', 'SageMakerImageVersionArn': 'string', 'SageMakerImageVersionAlias': 'string', 'InstanceType': 'system'|'ml.t3.micro'|'ml.t3.small'|'ml.t3.medium'|'ml.t3.large'|'ml.t3.xlarge'|'ml.t3.2xlarge'|'ml.m5.large'|'ml.m5.xlarge'|'ml.m5.2xlarge'|'ml.m5.4xlarge'|'ml.m5.8xlarge'|'ml.m5.12xlarge'|'ml.m5.16xlarge'|'ml.m5.24xlarge'|'ml.m5d.large'|'ml.m5d.xlarge'|'ml.m5d.2xlarge'|'ml.m5d.4xlarge'|'ml.m5d.8xlarge'|'ml.m5d.12xlarge'|'ml.m5d.16xlarge'|'ml.m5d.24xlarge'|'ml.c5.large'|'ml.c5.xlarge'|'ml.c5.2xlarge'|'ml.c5.4xlarge'|'ml.c5.9xlarge'|'ml.c5.12xlarge'|'ml.c5.18xlarge'|'ml.c5.24xlarge'|'ml.p3.2xlarge'|'ml.p3.8xlarge'|'ml.p3.16xlarge'|'ml.p3dn.24xlarge'|'ml.g4dn.xlarge'|'ml.g4dn.2xlarge'|'ml.g4dn.4xlarge'|'ml.g4dn.8xlarge'|'ml.g4dn.12xlarge'|'ml.g4dn.16xlarge'|'ml.r5.large'|'ml.r5.xlarge'|'ml.r5.2xlarge'|'ml.r5.4xlarge'|'ml.r5.8xlarge'|'ml.r5.12xlarge'|'ml.r5.16xlarge'|'ml.r5.24xlarge'|'ml.g5.xlarge'|'ml.g5.2xlarge'|'ml.g5.4xlarge'|'ml.g5.8xlarge'|'ml.g5.16xlarge'|'ml.g5.12xlarge'|'ml.g5.24xlarge'|'ml.g5.48xlarge'|'ml.g6.xlarge'|'ml.g6.2xlarge'|'ml.g6.4xlarge'|'ml.g6.8xlarge'|'ml.g6.12xlarge'|'ml.g6.16xlarge'|'ml.g6.24xlarge'|'ml.g6.48xlarge'|'ml.g6e.xlarge'|'ml.g6e.2xlarge'|'ml.g6e.4xlarge'|'ml.g6e.8xlarge'|'ml.g6e.12xlarge'|'ml.g6e.16xlarge'|'ml.g6e.24xlarge'|'ml.g6e.48xlarge'|'ml.geospatial.interactive'|'ml.p4d.24xlarge'|'ml.p4de.24xlarge'|'ml.trn1.2xlarge'|'ml.trn1.32xlarge'|'ml.trn1n.32xlarge'|'ml.p5.48xlarge'|'ml.m6i.large'|'ml.m6i.xlarge'|'ml.m6i.2xlarge'|'ml.m6i.4xlarge'|'ml.m6i.8xlarge'|'ml.m6i.12xlarge'|'ml.m6i.16xlarge'|'ml.m6i.24xlarge'|'ml.m6i.32xlarge'|'ml.m7i.large'|'ml.m7i.xlarge'|'ml.m7i.2xlarge'|'ml.m7i.4xlarge'|'ml.m7i.8xlarge'|'ml.m7i.12xlarge'|'ml.m7i.16xlarge'|'ml.m7i.24xlarge'|'ml.m7i.48xlarge'|'ml.c6i.large'|'ml.c6i.xlarge'|'ml.c6i.2xlarge'|'ml.c6i.4xlarge'|'ml.c6i.8xlarge'|'ml.c6i.12xlarge'|'ml.c6i.16xlarge'|'ml.c6i.24xlarge'|'ml.c6i.32xlarge'|'ml.c7i.large'|'ml.c7i.xlarge'|'ml.c7i.2xlarge'|'ml.c7i.4xlarge'|'ml.c7i.8xlarge'|'ml.c7i.12xlarge'|'ml.c7i.16xlarge'|'ml.c7i.24xlarge'|'ml.c7i.48xlarge'|'ml.r6i.large'|'ml.r6i.xlarge'|'ml.r6i.2xlarge'|'ml.r6i.4xlarge'|'ml.r6i.8xlarge'|'ml.r6i.12xlarge'|'ml.r6i.16xlarge'|'ml.r6i.24xlarge'|'ml.r6i.32xlarge'|'ml.r7i.large'|'ml.r7i.xlarge'|'ml.r7i.2xlarge'|'ml.r7i.4xlarge'|'ml.r7i.8xlarge'|'ml.r7i.12xlarge'|'ml.r7i.16xlarge'|'ml.r7i.24xlarge'|'ml.r7i.48xlarge'|'ml.m6id.large'|'ml.m6id.xlarge'|'ml.m6id.2xlarge'|'ml.m6id.4xlarge'|'ml.m6id.8xlarge'|'ml.m6id.12xlarge'|'ml.m6id.16xlarge'|'ml.m6id.24xlarge'|'ml.m6id.32xlarge'|'ml.c6id.large'|'ml.c6id.xlarge'|'ml.c6id.2xlarge'|'ml.c6id.4xlarge'|'ml.c6id.8xlarge'|'ml.c6id.12xlarge'|'ml.c6id.16xlarge'|'ml.c6id.24xlarge'|'ml.c6id.32xlarge'|'ml.r6id.large'|'ml.r6id.xlarge'|'ml.r6id.2xlarge'|'ml.r6id.4xlarge'|'ml.r6id.8xlarge'|'ml.r6id.12xlarge'|'ml.r6id.16xlarge'|'ml.r6id.24xlarge'|'ml.r6id.32xlarge', 'LifecycleConfigArn': 'string' } }, ], 'NextToken': 'string' }
Response Structure
(dict) –
Apps (list) –
The list of apps.
(dict) –
Details about an Amazon SageMaker AI app.
DomainId (string) –
The domain ID.
UserProfileName (string) –
The user profile name.
SpaceName (string) –
The name of the space.
AppType (string) –
The type of app.
AppName (string) –
The name of the app.
Status (string) –
The status.
CreationTime (datetime) –
The creation time.
ResourceSpec (dict) –
Specifies the ARN’s of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.
SageMakerImageArn (string) –
The ARN of the SageMaker AI image that the image version belongs to.
SageMakerImageVersionArn (string) –
The ARN of the image version created on the instance.
SageMakerImageVersionAlias (string) –
The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.
InstanceType (string) –
The instance type that the image version runs on.
Note
JupyterServer apps only support the
system
value.For KernelGateway apps, the
system
value is translated toml.t3.medium
. KernelGateway apps also support all other values for available instance types.LifecycleConfigArn (string) –
The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.
NextToken (string) –
If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.