diff --git a/datalab/datalab_session/data_operations/error.py b/datalab/datalab_session/data_operations/error.py
deleted file mode 100644
index a8f3172..0000000
--- a/datalab/datalab_session/data_operations/error.py
+++ /dev/null
@@ -1,53 +0,0 @@
-import builtins
-import logging
-
-from requests.exceptions import RequestException
-from datalab.datalab_session.data_operations.data_operation import BaseDataOperation
-from datalab.datalab_session.exceptions import ClientAlertException
-
-log=logging.getLogger()
-log.setLevel(logging.INFO)
-
-class ErrorOperation(BaseDataOperation):
-  @staticmethod
-  def name():
-    return 'Error'
-  
-  @staticmethod
-  def description():
-    return """The Error will raise an error in the dramatiq worker!"""
-  
-  @staticmethod
-  def wizard_description():
-    return {
-      'name': 'Error',
-      'description': 'The Error will raise an error in the dramatiq worker!',
-      'category': 'test',
-      'inputs': {
-        'input_files': {
-            'name': 'Input Files',
-            'description': 'The input files to operate on',
-            'type': 'file',
-            'minimum': 1,
-            'maximum': 999
-        },
-        'Error Type': {
-          'name': 'Error Type',
-          'description': 'The type of error to raise, should be a python error type',
-          'type': 'text',
-        },
-        'Error Message': {
-          'name': 'Error Message',
-          'description': 'The message to include with the error',
-          'type': 'text',
-        }
-      }
-    }
-  
-  def operate(self):
-    error_type_name = self.input_data.get('Error Type')
-    error_type = getattr(builtins, error_type_name, None)
-    if not error_type or not issubclass(error_type, BaseException):
-      raise ClientAlertException(f'Unknown Error Type: {error_type_name}')
-    else:
-      raise error_type(self.input_data.get('Error Message', 'No Error Message, Default Error Message!'))
diff --git a/datalab/datalab_session/data_operations/long.py b/datalab/datalab_session/data_operations/long.py
deleted file mode 100644
index 909bbdc..0000000
--- a/datalab/datalab_session/data_operations/long.py
+++ /dev/null
@@ -1,47 +0,0 @@
-from datalab.datalab_session.data_operations.data_operation import BaseDataOperation
-from time import sleep
-from math import ceil
-
-class LongOperation(BaseDataOperation):
-    @staticmethod
-    def name():
-        return 'Long'
-    
-    @staticmethod
-    def description():
-        return """The Long operation just sleeps and then returns your input images as output without doing anything"""
-    
-    @staticmethod
-    def wizard_description():
-        return {
-            'name': LongOperation.name(),
-            'description': LongOperation.description(),
-            'category': 'test',
-            'inputs': {
-                'input_files': {
-                    'name': 'Input Files',
-                    'description': 'The input files to operate on',
-                    'type': 'file',
-                    'minimum': 1,
-                    'maximum': 999
-                },
-                'duration': {
-                    'name': 'Duration',
-                    'description': 'The duration of the operation',
-                    'type': 'number',
-                    'minimum': 0,
-                    'maximum': 99999.0,
-                    'default': 60.0
-                },
-            }            
-        }
-    
-    def operate(self):
-        num_files = max(len(self.input_data.get('input_files', [])), 1)
-        per_image_timeout = ceil(float(self.input_data.get('duration', 60.0)) / num_files)
-        for i, file in enumerate(self.input_data.get('input_files', [])):
-            print(f"Processing long operation on file {file.get('basename', 'No basename found')}")
-            sleep(per_image_timeout)
-            self.set_operation_progress((i+1) / num_files)
-        # Done "processing" the files so set the output which sets the final status
-        self.set_output(self.input_data.get('input_files', []))
diff --git a/datalab/datalab_session/data_operations/noop.py b/datalab/datalab_session/data_operations/noop.py
deleted file mode 100644
index a5806cd..0000000
--- a/datalab/datalab_session/data_operations/noop.py
+++ /dev/null
@@ -1,45 +0,0 @@
-from datalab.datalab_session.data_operations.data_operation import BaseDataOperation
-
-
-class NoOperation(BaseDataOperation):
-    @staticmethod
-    def name():
-        return 'NoOp'
-    
-    @staticmethod
-    def description():
-        return """The NoOp just returns your input images as output without doing anything!"""
-    
-    @staticmethod
-    def wizard_description():
-        return {
-            'name': 'NoOp',
-            'description': 'The NoOp operation returns your input images as output.\n\nIt does nothing!!!',
-            'category': 'test',
-            'inputs': {
-                'input_files': {
-                    'name': 'Input Files',
-                    'description': 'The input files to operate on',
-                    'type': 'file',
-                    'minimum': 1,
-                    'maximum': 999
-                },
-                'scalar_parameter_1': {
-                    'name': 'Scalar Parameter 1',
-                    'description': 'This scalar parameter controls nothing',
-                    'type': 'number',
-                    'minimum': 0,
-                    'maximum': 25.0,
-                    'default': 5.0
-                },
-                'string_parameter': {
-                    'name': 'String Parameter',
-                    'description': 'This is a string parameter',
-                    'type': 'text'
-                }
-            }            
-        }
-    
-    def operate(self):
-        print("No-op triggered!")
-        self.set_output(self.input_data.get('input_files', []))