diff --git a/transforms/universal/ededup/python/src/ededup_pipeline_local_python_incremental.py b/transforms/universal/ededup/python/src/ededup_pipeline_local_python_incremental.py
new file mode 100644
index 000000000..170c248db
--- /dev/null
+++ b/transforms/universal/ededup/python/src/ededup_pipeline_local_python_incremental.py
@@ -0,0 +1,49 @@
+# (C) Copyright IBM Corp. 2024.
+# Licensed under the Apache License, Version 2.0 (the “License”);
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#  http://www.apache.org/licenses/LICENSE-2.0
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an “AS IS” BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+################################################################################
+
+import os
+import sys
+
+from data_processing.runtime.pure_python import PythonTransformLauncher
+from data_processing.utils import ParamsUtils
+from ededup_pipeline_transform_python import EdedupPypelinePythonTransformConfiguration
+from ededup_transform_base import (
+    doc_column_name_cli_param,
+    int_column_name_cli_param,
+)
+
+
+# create launcher
+launcher = PythonTransformLauncher(EdedupPypelinePythonTransformConfiguration())
+# create parameters
+input_folder = os.path.abspath(os.path.join(os.path.dirname(__file__), "../test-data/input"))
+output_folder = os.path.abspath(os.path.join(os.path.dirname(__file__), "../output"))
+local_conf = {
+    "input_folder": input_folder,
+    "output_folder": output_folder,
+}
+code_location = {"github": "github", "commit_hash": "12345", "path": "path"}
+params = {
+    # Data access. Only required parameters are specified
+    "data_local_config": ParamsUtils.convert_to_ast(local_conf),
+    # orchestrator
+    "runtime_pipeline_id": "pipeline_id",
+    "runtime_job_id": "job_id",
+    "runtime_code_location": ParamsUtils.convert_to_ast(code_location),
+    # ededup parameters
+    doc_column_name_cli_param: "contents",
+    int_column_name_cli_param: "document_id",
+}
+sys.argv = ParamsUtils.dict_to_req(d=params)
+
+# launch
+launcher.launch()
diff --git a/transforms/universal/ededup/python/src/ededup_pipeline_transform_python.py b/transforms/universal/ededup/python/src/ededup_pipeline_transform_python.py
new file mode 100644
index 000000000..a10d3f06e
--- /dev/null
+++ b/transforms/universal/ededup/python/src/ededup_pipeline_transform_python.py
@@ -0,0 +1,43 @@
+# (C) Copyright IBM Corp. 2024.
+# Licensed under the Apache License, Version 2.0 (the “License”);
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#  http://www.apache.org/licenses/LICENSE-2.0
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an “AS IS” BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+################################################################################
+
+from data_processing.runtime.pure_python import PythonTransformLauncher
+from data_processing.runtime.pure_python.runtime_configuration import (
+    PythonTransformRuntimeConfiguration,
+)
+from data_processing.transform import PipelineTransformConfiguration
+from data_processing.utils import get_logger
+from ededup_transform_python import EdedupPythonTransformRuntimeConfiguration
+
+logger = get_logger(__name__)
+
+
+class EdedupPypelinePythonTransformConfiguration(PythonTransformRuntimeConfiguration):
+    """
+    Implements the PythonTransformConfiguration for NOOP as required by the PythonTransformLauncher.
+    NOOP does not use a RayRuntime class so the superclass only needs the base
+    python-only configuration.
+    """
+
+    def __init__(self):
+        """
+        Initialization
+        """
+        super().__init__(transform_config=
+                         PipelineTransformConfiguration({"transforms": [EdedupPythonTransformRuntimeConfiguration()]}))
+
+
+if __name__ == "__main__":
+    # launcher = NOOPRayLauncher()
+    launcher = PythonTransformLauncher(EdedupPypelinePythonTransformConfiguration())
+    logger.info("Launching resize/noop transform")
+    launcher.launch()
diff --git a/transforms/universal/ededup/python/test/test_ededup_pipeline_python.py b/transforms/universal/ededup/python/test/test_ededup_pipeline_python.py
new file mode 100644
index 000000000..81f09c4e7
--- /dev/null
+++ b/transforms/universal/ededup/python/test/test_ededup_pipeline_python.py
@@ -0,0 +1,35 @@
+# (C) Copyright IBM Corp. 2024.
+# Licensed under the Apache License, Version 2.0 (the “License”);
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#  http://www.apache.org/licenses/LICENSE-2.0
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an “AS IS” BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+################################################################################
+
+import os
+
+from data_processing.runtime.pure_python import PythonTransformLauncher
+from data_processing.test_support.launch.transform_test import (
+    AbstractTransformLauncherTest,
+)
+from ededup_pipeline_transform_python import EdedupPypelinePythonTransformConfiguration
+from ededup_transform_base import doc_column_name_cli_param, int_column_name_cli_param
+
+
+class TestEdedupPypilinePythonTransform(AbstractTransformLauncherTest):
+    """
+    Extends the super-class to define the test data for the tests defined there.
+    The name of this class MUST begin with the word Test so that pytest recognizes it as a test class.
+    """
+
+    def get_test_transform_fixtures(self) -> list[tuple]:
+        # The following based on 3 identical input files of about 39kbytes, and 200 rows
+        fixtures = []
+        basedir = os.path.abspath(os.path.join(os.path.dirname(__file__), "../test-data"))
+        launcher = PythonTransformLauncher(EdedupPypelinePythonTransformConfiguration())
+        config = {doc_column_name_cli_param: "contents", int_column_name_cli_param: "document_id"}
+        return [(launcher, config, basedir + "/input", basedir + "/expected")]
diff --git a/transforms/universal/noop/python/src/noop_pipeline_local_python.py b/transforms/universal/noop/python/src/noop_pipeline_local_python.py
new file mode 100644
index 000000000..c3d2b648d
--- /dev/null
+++ b/transforms/universal/noop/python/src/noop_pipeline_local_python.py
@@ -0,0 +1,45 @@
+# (C) Copyright IBM Corp. 2024.
+# Licensed under the Apache License, Version 2.0 (the “License”);
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#  http://www.apache.org/licenses/LICENSE-2.0
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an “AS IS” BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+################################################################################
+
+import os
+import sys
+
+from data_processing.runtime.pure_python import PythonTransformLauncher
+from data_processing.utils import ParamsUtils
+from noop_pipeline_transform_python import NOOPPypelinePythonTransformConfiguration
+
+
+# create parameters
+input_folder = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "test-data", "input"))
+output_folder = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "output"))
+local_conf = {
+    "input_folder": input_folder,
+    "output_folder": output_folder,
+}
+code_location = {"github": "github", "commit_hash": "12345", "path": "path"}
+params = {
+    # Data access. Only required parameters are specified
+    "data_local_config": ParamsUtils.convert_to_ast(local_conf),
+    # execution info
+    "runtime_pipeline_id": "pipeline_id",
+    "runtime_job_id": "job_id",
+    "runtime_code_location": ParamsUtils.convert_to_ast(code_location),
+    # noop params
+    "noop_sleep_sec": 1,
+}
+if __name__ == "__main__":
+    # Set the simulated command line args
+    sys.argv = ParamsUtils.dict_to_req(d=params)
+    # create launcher
+    launcher = PythonTransformLauncher(runtime_config=NOOPPypelinePythonTransformConfiguration())
+    # Launch the ray actor(s) to process the input
+    launcher.launch()
diff --git a/transforms/universal/noop/python/src/noop_pipeline_transform_python.py b/transforms/universal/noop/python/src/noop_pipeline_transform_python.py
new file mode 100644
index 000000000..381f13149
--- /dev/null
+++ b/transforms/universal/noop/python/src/noop_pipeline_transform_python.py
@@ -0,0 +1,43 @@
+# (C) Copyright IBM Corp. 2024.
+# Licensed under the Apache License, Version 2.0 (the “License”);
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#  http://www.apache.org/licenses/LICENSE-2.0
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an “AS IS” BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+################################################################################
+
+from data_processing.runtime.pure_python import PythonTransformLauncher
+from data_processing.runtime.pure_python.runtime_configuration import (
+    PythonTransformRuntimeConfiguration,
+)
+from data_processing.transform import PipelineTransformConfiguration
+from data_processing.utils import get_logger
+from noop_transform_python import NOOPPythonTransformConfiguration
+
+logger = get_logger(__name__)
+
+
+class NOOPPypelinePythonTransformConfiguration(PythonTransformRuntimeConfiguration):
+    """
+    Implements the PythonTransformConfiguration for NOOP as required by the PythonTransformLauncher.
+    NOOP does not use a RayRuntime class so the superclass only needs the base
+    python-only configuration.
+    """
+
+    def __init__(self):
+        """
+        Initialization
+        """
+        super().__init__(transform_config=
+                         PipelineTransformConfiguration({"transforms": [NOOPPythonTransformConfiguration()]}))
+
+
+if __name__ == "__main__":
+    # launcher = NOOPRayLauncher()
+    launcher = PythonTransformLauncher(NOOPPypelinePythonTransformConfiguration())
+    logger.info("Launching resize/noop transform")
+    launcher.launch()
diff --git a/transforms/universal/noop/python/test/test_noop_pipeline_python.py b/transforms/universal/noop/python/test/test_noop_pipeline_python.py
new file mode 100644
index 000000000..d0fec66a8
--- /dev/null
+++ b/transforms/universal/noop/python/test/test_noop_pipeline_python.py
@@ -0,0 +1,47 @@
+# (C) Copyright IBM Corp. 2024.
+# Licensed under the Apache License, Version 2.0 (the “License”);
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#  http://www.apache.org/licenses/LICENSE-2.0
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an “AS IS” BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+################################################################################
+
+import os
+
+from data_processing.runtime.pure_python import PythonTransformLauncher
+from data_processing.test_support.launch.transform_test import (
+    AbstractTransformLauncherTest,
+)
+from noop_transform import sleep_cli_param
+from noop_pipeline_transform_python import NOOPPypelinePythonTransformConfiguration
+
+
+class TestPythonNOOPTransform(AbstractTransformLauncherTest):
+    """
+    Extends the super-class to define the test data for the tests defined there.
+    The name of this class MUST begin with the word Test so that pytest recognizes it as a test class.
+    """
+
+    def get_test_transform_fixtures(self) -> list[tuple]:
+        src_file_dir = os.path.abspath(os.path.dirname(__file__))
+        fixtures = []
+
+        launcher = PythonTransformLauncher(NOOPPypelinePythonTransformConfiguration())
+        input_dir = os.path.join(src_file_dir, "../test-data/input")
+        expected_dir = os.path.join(src_file_dir, "../test-data/expected")
+        transform_config = {sleep_cli_param: 0}
+        fixtures.append(
+            (
+                launcher,
+                transform_config,
+                input_dir,
+                expected_dir,
+                [],  # optional list of column names to ignore in comparing test-generated with expected.
+            )
+        )
+
+        return fixtures