diff --git a/force_bdss/api.py b/force_bdss/api.py
index 1a5aeed..c1022dc 100644
--- a/force_bdss/api.py
+++ b/force_bdss/api.py
@@ -1,15 +1,21 @@
 from .base_extension_plugin import BaseExtensionPlugin  # noqa
 from .id_generators import bundle_id  # noqa
-from .data_sources.i_data_source_bundle import IDataSourceBundle  # noqa
-from .mco.i_multi_criteria_optimizer_bundle import IMultiCriteriaOptimizerBundle  # noqa
-from .kpi.i_kpi_calculator_bundle import IKPICalculatorBundle  # noqa
+
 from .data_sources.base_data_source_model import BaseDataSourceModel  # noqa
 from .data_sources.data_source_result import DataSourceResult  # noqa
 from .data_sources.data_source_parameters import DataSourceParameters  # noqa
 from .data_sources.base_data_source import BaseDataSource  # noqa
+from .data_sources.base_data_source_bundle import BaseDataSourceBundle  # noqa
+from .data_sources.i_data_source_bundle import IDataSourceBundle  # noqa
+
 from .kpi.base_kpi_calculator import BaseKPICalculator  # noqa
 from .kpi.kpi_calculator_result import KPICalculatorResult  # noqa
 from .kpi.base_kpi_calculator_model import BaseKPICalculatorModel  # noqa
+from .kpi.base_kpi_calculator_bundle import BaseKPICalculatorBundle  # noqa
+from .kpi.i_kpi_calculator_bundle import IKPICalculatorBundle  # noqa
+
 from .mco.base_mco_model import BaseMCOModel  # noqa
 from .mco.base_mco_communicator import BaseMCOCommunicator  # noqa
 from .mco.base_multi_criteria_optimizer import BaseMultiCriteriaOptimizer  # noqa
+from .mco.base_multi_criteria_optimizer_bundle import BaseMultiCriteriaOptimizerBundle  # noqa
+from .mco.i_multi_criteria_optimizer_bundle import IMultiCriteriaOptimizerBundle  # noqa
diff --git a/force_bdss/core_plugins/csv_extractor/csv_extractor/csv_extractor_bundle.py b/force_bdss/core_plugins/csv_extractor/csv_extractor/csv_extractor_bundle.py
index a44b5e1..55f998c 100644
--- a/force_bdss/core_plugins/csv_extractor/csv_extractor/csv_extractor_bundle.py
+++ b/force_bdss/core_plugins/csv_extractor/csv_extractor/csv_extractor_bundle.py
@@ -1,15 +1,16 @@
-from traits.api import provides, HasStrictTraits, String
+from traits.api import String
 
-from force_bdss.api import bundle_id, IDataSourceBundle
+from force_bdss.api import bundle_id, BaseDataSourceBundle
 
 from .csv_extractor_model import CSVExtractorModel
 from .csv_extractor_data_source import CSVExtractorDataSource
 
 
-@provides(IDataSourceBundle)
-class CSVExtractorBundle(HasStrictTraits):
+class CSVExtractorBundle(BaseDataSourceBundle):
     id = String(bundle_id("enthought", "csv_extractor"))
 
+    name = String("CSV Extractor")
+
     def create_model(self, model_data=None):
         if model_data is None:
             model_data = {}
diff --git a/force_bdss/core_plugins/dummy_kpi/kpi_adder/kpi_adder_bundle.py b/force_bdss/core_plugins/dummy_kpi/kpi_adder/kpi_adder_bundle.py
index a06cf88..ab40c71 100644
--- a/force_bdss/core_plugins/dummy_kpi/kpi_adder/kpi_adder_bundle.py
+++ b/force_bdss/core_plugins/dummy_kpi/kpi_adder/kpi_adder_bundle.py
@@ -1,16 +1,16 @@
-from traits.api import provides, HasStrictTraits, String
+from traits.api import String
 
-from force_bdss.api import bundle_id
-from force_bdss.api import IKPICalculatorBundle
+from force_bdss.api import bundle_id, BaseKPICalculatorBundle
 
 from .kpi_adder_model import KPIAdderModel
 from .kpi_adder_calculator import KPIAdderCalculator
 
 
-@provides(IKPICalculatorBundle)
-class KPIAdderBundle(HasStrictTraits):
+class KPIAdderBundle(BaseKPICalculatorBundle):
     id = String(bundle_id("enthought", "kpi_adder"))
 
+    name = String("KPI Adder")
+
     def create_model(self, model_data=None):
         if model_data is None:
             model_data = {}
diff --git a/force_bdss/core_plugins/dummy_mco/dakota/dakota_bundle.py b/force_bdss/core_plugins/dummy_mco/dakota/dakota_bundle.py
index 07e4dd3..e4d9f44 100644
--- a/force_bdss/core_plugins/dummy_mco/dakota/dakota_bundle.py
+++ b/force_bdss/core_plugins/dummy_mco/dakota/dakota_bundle.py
@@ -1,15 +1,16 @@
-from traits.api import HasStrictTraits, provides, String
-from force_bdss.api import bundle_id, IMultiCriteriaOptimizerBundle
+from traits.api import String
+from force_bdss.api import bundle_id, BaseMultiCriteriaOptimizerBundle
 
 from .dakota_communicator import DakotaCommunicator
 from .dakota_model import DakotaModel
 from .dakota_optimizer import DakotaOptimizer
 
 
-@provides(IMultiCriteriaOptimizerBundle)
-class DakotaBundle(HasStrictTraits):
+class DakotaBundle(BaseMultiCriteriaOptimizerBundle):
     id = String(bundle_id("enthought", "dakota"))
 
+    name = "Dakota"
+
     def create_model(self, model_data=None):
         if model_data is None:
             model_data = {}
diff --git a/force_bdss/data_sources/base_data_source_bundle.py b/force_bdss/data_sources/base_data_source_bundle.py
new file mode 100644
index 0000000..ab53763
--- /dev/null
+++ b/force_bdss/data_sources/base_data_source_bundle.py
@@ -0,0 +1,56 @@
+import abc
+from traits.api import ABCHasStrictTraits, provides, String
+
+from .i_data_source_bundle import IDataSourceBundle
+
+
+@provides(IDataSourceBundle)
+class BaseDataSourceBundle(ABCHasStrictTraits):
+    """Base class for DataSource bundles. Reimplement this class to
+    create your own DataSource.
+    """
+    # NOTE: changes to this class must be ported also to the IDataSourceBundle
+
+    #: Unique identifier that identifies the bundle uniquely in the
+    #: universe of bundles. Create one with the function bundle_id()
+    id = String()
+
+    #: A human readable name of the bundle. Spaces allowed
+    name = String()
+
+    @abc.abstractmethod
+    def create_data_source(self, application, model):
+        """Factory method.
+        Must return the bundle-specific BaseDataSource instance.
+
+        Parameters
+        ----------
+        application: Application
+            The envisage application.
+        model: BaseDataSourceModel
+            The model of the data source, instantiated with create_model()
+
+        Returns
+        -------
+        BaseDataSource
+            The specific instance of the generated DataSource
+        """
+
+    @abc.abstractmethod
+    def create_model(self, model_data=None):
+        """Factory method.
+        Creates the model object (or network of model objects) of the KPI
+        calculator. The model can provide a traits UI View according to
+        traitsui specifications, so that a UI can be provided automatically.
+
+        Parameters
+        ----------
+        model_data: dict or None
+            A dictionary containing the information to recreate the model.
+            If None, an empty (with defaults) model will be returned.
+
+        Returns
+        -------
+        BaseDataSourceModel
+            The model
+        """
diff --git a/force_bdss/data_sources/i_data_source_bundle.py b/force_bdss/data_sources/i_data_source_bundle.py
index 5270245..8ed2556 100644
--- a/force_bdss/data_sources/i_data_source_bundle.py
+++ b/force_bdss/data_sources/i_data_source_bundle.py
@@ -13,7 +13,6 @@ class IDataSourceBundle(Interface):
         """Factory method.
         Must return the bundle-specific BaseDataSource instance.
         """
-        pass
 
     def create_model(self, model_data=None):
         """Factory method.
diff --git a/force_bdss/kpi/base_kpi_calculator_bundle.py b/force_bdss/kpi/base_kpi_calculator_bundle.py
new file mode 100644
index 0000000..5ae4063
--- /dev/null
+++ b/force_bdss/kpi/base_kpi_calculator_bundle.py
@@ -0,0 +1,58 @@
+import abc
+from traits.api import ABCHasStrictTraits, provides, String
+
+from .i_kpi_calculator_bundle import IKPICalculatorBundle
+
+
+@provides(IKPICalculatorBundle)
+class BaseKPICalculatorBundle(ABCHasStrictTraits):
+    """Base class for the Key Performance Indicator calculator bundles.
+    Inherit from this class to create a bundle, and reimplement the abstract
+    methods.
+    """
+    # NOTE: any changes in this interface must be ported to
+    # IKPICalculatorBundle
+
+    #: A unique ID generated with bundle_id() routine
+    id = String()
+
+    #: A UI friendly name for the bundle. Can contain spaces.
+    name = String()
+
+    @abc.abstractmethod
+    def create_kpi_calculator(self, application, model):
+        """Factory method.
+        Creates and returns an instance of a KPI Calculator, associated
+        to the given application and model.
+
+        Parameters
+        ----------
+        application: Application
+            The envisage application.
+        model: BaseKPICalculatorModel
+            The model of the calculator, instantiated with create_model()
+
+        Returns
+        -------
+        BaseKPICalculator
+            The specific instance of the generated KPICalculator
+        """
+
+    @abc.abstractmethod
+    def create_model(self, model_data=None):
+        """Factory method.
+        Creates the model object (or network of model objects) of the KPI
+        calculator. The model can provide a traits UI View according to
+        traitsui specifications, so that a UI can be provided automatically.
+
+        Parameters
+        ----------
+        model_data: dict or None
+            A dictionary containing the information to recreate the model.
+            If None, an empty (with defaults) model will be returned.
+
+        Returns
+        -------
+        BaseKPICalculatorModel
+            The model
+        """
diff --git a/force_bdss/kpi/i_kpi_calculator_bundle.py b/force_bdss/kpi/i_kpi_calculator_bundle.py
index d4e8992..938e7de 100644
--- a/force_bdss/kpi/i_kpi_calculator_bundle.py
+++ b/force_bdss/kpi/i_kpi_calculator_bundle.py
@@ -2,8 +2,12 @@ from traits.api import Interface, String
 
 
 class IKPICalculatorBundle(Interface):
+    """Envisage required interface for the BaseKPICalculatorBundle.
+    You should not need to use this directly."""
     id = String()
 
+    name = String()
+
     def create_kpi_calculator(self, application, model):
         pass
 
diff --git a/force_bdss/mco/base_multi_criteria_optimizer_bundle.py b/force_bdss/mco/base_multi_criteria_optimizer_bundle.py
new file mode 100644
index 0000000..228ec4c
--- /dev/null
+++ b/force_bdss/mco/base_multi_criteria_optimizer_bundle.py
@@ -0,0 +1,76 @@
+import abc
+
+from traits.api import ABCHasStrictTraits, String
+from traits.has_traits import provides
+
+from force_bdss.mco.i_multi_criteria_optimizer_bundle import (
+    IMultiCriteriaOptimizerBundle
+)
+
+
+@provides(IMultiCriteriaOptimizerBundle)
+class BaseMultiCriteriaOptimizerBundle(ABCHasStrictTraits):
+    """Base class for the MultiCriteria Optimizer bundle.
+    """
+    # NOTE: any changes to the interface of this class must be replicated
+    # in the IMultiCriteriaOptimizerBundle interface class.
+
+    #: A unique ID produced with the bundle_id() routine.
+    id = String()
+
+    #: A user friendly name of the bundle. Spaces allowed.
+    name = String()
+
+    @abc.abstractmethod
+    def create_optimizer(self, application, model):
+        """Factory method.
+        Creates the optimizer with the given application
+        and model and returns it to the caller.
+
+        Parameters
+        ----------
+        application: Application
+            The envisage application instance
+        model: BaseMCOModel
+            The model to associate to the optimizer, instantiated through
+            create_model()
+
+        Returns
+        -------
+        BaseMCOOptimizer
+            The optimizer
+        """
+
+    @abc.abstractmethod
+    def create_model(self, model_data=None):
+        """Factory method.
+        Creates the model object (or network of model objects) of the MCO.
+        The model can provide a traits UI View according to traitsui
+        specifications, so that a UI can be provided automatically.
+
+        Parameters
+        ----------
+        model_data: dict or None
+            A dictionary of data that can be interpreted appropriately to
+            recreate the model. If None, an empty (with defaults) model will
+            be created and returned.
+
+        Returns
+        -------
+        BaseMCOModel
+            The MCOModel
+        """
+
+    @abc.abstractmethod
+    def create_communicator(self, application, model):
+        """Factory method. Returns the communicator class that allows
+        exchange between the MCO and the evaluator code.
+
+        Parameters
+        ----------
+        application: Application
+            The envisage application instance
+        model: BaseMCOModel
+            The model to associate to the optimizer, instantiated through
+            create_model()
+        """
diff --git a/force_bdss/mco/i_multi_criteria_optimizer_bundle.py b/force_bdss/mco/i_multi_criteria_optimizer_bundle.py
index cb42229..82a857a 100644
--- a/force_bdss/mco/i_multi_criteria_optimizer_bundle.py
+++ b/force_bdss/mco/i_multi_criteria_optimizer_bundle.py
@@ -2,13 +2,18 @@ from traits.api import Interface, String
 
 
 class IMultiCriteriaOptimizerBundle(Interface):
+    """Interface for the MultiCriteria Optimizer bundle.
+    You should not need it, as its main use is for envisage support.
+    """
     id = String()
 
+    name = String()
+
     def create_optimizer(self, application, model):
         pass
 
     def create_model(self, model_data=None):
         pass
 
-    def create_communicator(self, model_data):
+    def create_communicator(self, application, model):
         pass

Introduce base class for the bundle.
We should have a base class for the bundle, using `@provides`, so that plugin implementers don't have to worry about that.

diff --git a/force_bdss/data_sources/tests/test_base_data_source_bundle.py b/force_bdss/data_sources/tests/test_base_data_source_bundle.py
new file mode 100644
index 0000000..3564a7e
--- /dev/null
+++ b/force_bdss/data_sources/tests/test_base_data_source_bundle.py
@@ -0,0 +1,23 @@
+import unittest
+
+from force_bdss.data_sources.base_data_source_bundle import \
+    BaseDataSourceBundle
+
+
+class DummyDataSourceBundle(BaseDataSourceBundle):
+    id = "foo"
+
+    name = "bar"
+
+    def create_data_source(self, application, model):
+        pass
+
+    def create_model(self, model_data=None):
+        pass
+
+
+class TestBaseDataSourceBundle(unittest.TestCase):
+    def test_initialization(self):
+        bundle = DummyDataSourceBundle()
+        self.assertEqual(bundle.id, 'foo')
+        self.assertEqual(bundle.name, 'bar')
diff --git a/force_bdss/kpi/tests/test_base_kpi_calculator_bundle.py b/force_bdss/kpi/tests/test_base_kpi_calculator_bundle.py
new file mode 100644
index 0000000..30dc60e
--- /dev/null
+++ b/force_bdss/kpi/tests/test_base_kpi_calculator_bundle.py
@@ -0,0 +1,23 @@
+import unittest
+
+from force_bdss.kpi.base_kpi_calculator_bundle import \
+    BaseKPICalculatorBundle
+
+
+class DummyKPICalculatorBundle(BaseKPICalculatorBundle):
+    id = "foo"
+
+    name = "bar"
+
+    def create_kpi_calculator(self, application, model):
+        pass
+
+    def create_model(self, model_data=None):
+        pass
+
+
+class TestBaseKPICalculatorBundle(unittest.TestCase):
+    def test_initialization(self):
+        bundle = DummyKPICalculatorBundle()
+        self.assertEqual(bundle.id, 'foo')
+        self.assertEqual(bundle.name, 'bar')
diff --git a/force_bdss/mco/tests/test_base_multi_criteria_optimizer_bundle.py b/force_bdss/mco/tests/test_base_multi_criteria_optimizer_bundle.py
new file mode 100644
index 0000000..de89488
--- /dev/null
+++ b/force_bdss/mco/tests/test_base_multi_criteria_optimizer_bundle.py
@@ -0,0 +1,27 @@
+import unittest
+
+from force_bdss.mco.base_multi_criteria_optimizer_bundle import (
+    BaseMultiCriteriaOptimizerBundle
+)
+
+
+class DummyMCOBundle(BaseMultiCriteriaOptimizerBundle):
+    id = "foo"
+
+    name = "bar"
+
+    def create_optimizer(self, application, model):
+        pass
+
+    def create_model(self, model_data=None):
+        pass
+
+    def create_communicator(self, model_data):
+        pass
+
+
+class TestBaseDataSourceBundle(unittest.TestCase):
+    def test_initialization(self):
+        bundle = DummyMCOBundle()
+        self.assertEqual(bundle.id, 'foo')
+        self.assertEqual(bundle.name, 'bar')

pip install -e .[dev]
parse_log_pytest
requirements.txt
pytest
apt-get update apt-get install -y gcc
3.9
requirements/base.txt
pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning
apptools==5.3.0
click==8.1.8
envisage==7.0.3
exceptiongroup==1.2.2
-e git+https://github.com/force-h2020/force-bdss.git@ddccc7b7caf43ae6e2b20543239aff9e1d9df8e6#egg=force_bdss
importlib_metadata==8.6.1
iniconfig==2.1.0
numpy==2.0.2
packaging==24.2
pbr==6.1.1
pluggy==1.5.0
pyface==8.0.0
pytest==8.3.5
six==1.17.0
stevedore==5.4.1
tomli==2.2.1
traits==7.0.2
traitsui==8.0.0
zipp==3.21.0

name: force-bdss
channels:
  - defaults
  - https://repo.anaconda.com/pkgs/main
  - https://repo.anaconda.com/pkgs/r
  - conda-forge
dependencies:
  - _libgcc_mutex=0.1=main
  - _openmp_mutex=5.1=1_gnu
  - ca-certificates=2025.2.25=h06a4308_0
  - ld_impl_linux-64=2.40=h12ee557_0
  - libffi=3.4.4=h6a678d5_1
  - libgcc-ng=11.2.0=h1234567_1
  - libgomp=11.2.0=h1234567_1
  - libstdcxx-ng=11.2.0=h1234567_1
  - ncurses=6.4=h6a678d5_0
  - openssl=3.0.16=h5eee18b_0
  - pip=25.0=py39h06a4308_0
  - python=3.9.21=he870216_1
  - readline=8.2=h5eee18b_0
  - setuptools=75.8.0=py39h06a4308_0
  - sqlite=3.45.3=h5eee18b_0
  - tk=8.6.14=h39e8969_0
  - tzdata=2025a=h04d1e81_0
  - wheel=0.45.1=py39h06a4308_0
  - xz=5.6.4=h5eee18b_1
  - zlib=1.2.13=h5eee18b_1
  - pip:
      - apptools==5.3.0
      - click==8.1.8
      - envisage==7.0.3
      - exceptiongroup==1.2.2
      - importlib-metadata==8.6.1
      - iniconfig==2.1.0
      - numpy==2.0.2
      - packaging==24.2
      - pbr==6.1.1
      - pluggy==1.5.0
      - pyface==8.0.0
      - pytest==8.3.5
      - six==1.17.0
      - stevedore==5.4.1
      - tomli==2.2.1
      - traits==7.0.2
      - traitsui==8.0.0
      - zipp==3.21.0
prefix: /opt/conda/envs/force-bdss

force_bdss/data_sources/tests/test_base_data_source_bundle.py::TestBaseDataSourceBundle::test_initialization force_bdss/kpi/tests/test_base_kpi_calculator_bundle.py::TestBaseKPICalculatorBundle::test_initialization force_bdss/mco/tests/test_base_multi_criteria_optimizer_bundle.py::TestBaseDataSourceBundle::test_initialization
force_bdss/kpi/i_kpi_calculator_bundle.py force_bdss/data_sources/i_data_source_bundle.py force_bdss/core_plugins/csv_extractor/csv_extractor/csv_extractor_bundle.py force_bdss/core_plugins/dummy_kpi/kpi_adder/kpi_adder_bundle.py force_bdss/mco/i_multi_criteria_optimizer_bundle.py force_bdss/core_plugins/dummy_mco/dakota/dakota_bundle.py force_bdss/mco/base_multi_criteria_optimizer_bundle.py force_bdss/api.py force_bdss/kpi/base_kpi_calculator_bundle.py force_bdss/data_sources/base_data_source_bundle.py
force_bdss/kpi/i_kpi_calculator_bundle.py force_bdss/data_sources/i_data_source_bundle.py force_bdss/core_plugins/csv_extractor/csv_extractor/csv_extractor_bundle.py force_bdss/core_plugins/dummy_kpi/kpi_adder/kpi_adder_bundle.py force_bdss/mco/i_multi_criteria_optimizer_bundle.py force_bdss/core_plugins/dummy_mco/dakota/dakota_bundle.py force_bdss/mco/base_multi_criteria_optimizer_bundle.py force_bdss/api.py force_bdss/kpi/base_kpi_calculator_bundle.py force_bdss/data_sources/base_data_source_bundle.py