diff --git a/.github/workflows/periodic_tests.yml b/.github/workflows/periodic_tests.yml
index 8c5eeca564..ac81989b27 100644
--- a/.github/workflows/periodic_tests.yml
+++ b/.github/workflows/periodic_tests.yml
@@ -83,6 +83,31 @@ jobs:
           # Save cache with the current date (ENV set in numba_cache action)
           key: numba-run-notebook-examples-${{ runner.os }}-3.10-${{ env.CURRENT_DATE }}
 
+  test-core-imports:
+    runs-on: ubuntu-22.04
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Setup Python 3.10
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.10"
+
+      - name: Install aeon and dependencies
+        uses: nick-fields/retry@v3
+        with:
+          timeout_minutes: 30
+          max_attempts: 3
+          command: python -m pip install .
+
+      - name: Show dependencies
+        run: python -m pip list
+
+      - name: Run import test
+        run: python aeon/testing/tests/test_core_imports.py
+
   test-no-soft-deps:
     runs-on: ubuntu-22.04
 
diff --git a/.github/workflows/pr_core_dep_import.yml b/.github/workflows/pr_core_dep_import.yml
new file mode 100644
index 0000000000..19fb56e294
--- /dev/null
+++ b/.github/workflows/pr_core_dep_import.yml
@@ -0,0 +1,43 @@
+name: PR module imports
+
+on:
+  push:
+    branches:
+      - main
+  pull_request:
+    branches:
+      - main
+    paths:
+      - "aeon/**"
+      - ".github/workflows/**"
+      - "pyproject.toml"
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.head_ref || github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  test-core-imports:
+    runs-on: ubuntu-22.04
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Setup Python 3.10
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.10"
+
+      - name: Install aeon and dependencies
+        uses: nick-fields/retry@v3
+        with:
+          timeout_minutes: 30
+          max_attempts: 3
+          command: python -m pip install .
+
+      - name: Show dependencies
+        run: python -m pip list
+
+      - name: Run import test
+        run: python aeon/testing/tests/test_core_imports.py
diff --git a/.github/workflows/pr_pytest.yml b/.github/workflows/pr_pytest.yml
index 0a5ed4c673..abbb0f596f 100644
--- a/.github/workflows/pr_pytest.yml
+++ b/.github/workflows/pr_pytest.yml
@@ -48,7 +48,7 @@ jobs:
         run: python -m pip list
 
       - name: Run tests
-        run: python -m pytest -n logical -k 'not TestAll'
+        run: python -m pytest -n logical
 
   pytest:
     runs-on: ${{ matrix.os }}
diff --git a/.readthedocs.yml b/.readthedocs.yml
index c031c0d25b..1b016c167c 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -11,7 +11,7 @@ python:
         - docs
 
 build:
-  os: ubuntu-20.04
+  os: ubuntu-22.04
   tools:
     python: "3.10"
 
diff --git a/README.md b/README.md
index f51a79291a..0763b2f5de 100644
--- a/README.md
+++ b/README.md
@@ -22,6 +22,7 @@ The following modules are still considered experimental, and the [deprecation po
 does not apply:
 
 - `anomaly_detection`
+- `forecasting`
 - `segmentation`
 - `similarity_search`
 - `visualisation`
diff --git a/aeon/base/tests/test_base_collection.py b/aeon/base/tests/test_base_collection.py
index 97e2232c66..fff1f75f38 100644
--- a/aeon/base/tests/test_base_collection.py
+++ b/aeon/base/tests/test_base_collection.py
@@ -14,7 +14,7 @@
     UNEQUAL_LENGTH_MULTIVARIATE_CLASSIFICATION,
     UNEQUAL_LENGTH_UNIVARIATE_CLASSIFICATION,
 )
-from aeon.utils import COLLECTIONS_DATA_TYPES
+from aeon.utils.data_types import COLLECTIONS_DATA_TYPES
 from aeon.utils.validation import get_type
 
 
diff --git a/aeon/classification/tests/test_base.py b/aeon/classification/tests/test_base.py
index e59baa1bf4..49782cab85 100644
--- a/aeon/classification/tests/test_base.py
+++ b/aeon/classification/tests/test_base.py
@@ -15,7 +15,7 @@
     EQUAL_LENGTH_UNIVARIATE_CLASSIFICATION,
     UNEQUAL_LENGTH_UNIVARIATE_CLASSIFICATION,
 )
-from aeon.utils import COLLECTIONS_DATA_TYPES
+from aeon.utils.data_types import COLLECTIONS_DATA_TYPES
 
 __maintainer__ = []
 
diff --git a/aeon/pipeline/__init__.py b/aeon/pipeline/__init__.py
index 732dae0187..a0b15f190f 100644
--- a/aeon/pipeline/__init__.py
+++ b/aeon/pipeline/__init__.py
@@ -1,6 +1,9 @@
 """Pipeline maker utility."""
 
-__all__ = ["make_pipeline", "sklearn_to_aeon"]
+__all__ = [
+    "make_pipeline",
+    "sklearn_to_aeon",
+]
 
 from aeon.pipeline._make_pipeline import make_pipeline
 from aeon.pipeline._sklearn_to_aeon import sklearn_to_aeon
diff --git a/aeon/regression/compose/tests/test_ensemble.py b/aeon/regression/compose/tests/test_ensemble.py
index 447afda327..4d5b288de7 100644
--- a/aeon/regression/compose/tests/test_ensemble.py
+++ b/aeon/regression/compose/tests/test_ensemble.py
@@ -14,7 +14,7 @@
     make_example_3d_numpy,
     make_example_3d_numpy_list,
 )
-from aeon.testing.mock_estimators import MockHandlesAllInput, MockRegressor
+from aeon.testing.mock_estimators import MockRegressor, MockRegressorFullTags
 
 mixed_ensemble = [
     DummyRegressor(),
@@ -114,7 +114,7 @@ def test_unequal_tag_inference():
         n_cases=10, min_n_timepoints=8, max_n_timepoints=12, regression_target=True
     )
 
-    r1 = MockHandlesAllInput()
+    r1 = MockRegressorFullTags()
     r2 = MockRegressor()
 
     assert r1.get_tag("capability:unequal_length")
@@ -144,7 +144,7 @@ def test_missing_tag_inference():
     X, y = make_example_3d_numpy(n_cases=10, n_timepoints=12, regression_target=True)
     X[5, 0, 4] = np.nan
 
-    r1 = MockHandlesAllInput()
+    r1 = MockRegressorFullTags()
     r2 = MockRegressor()
 
     assert r1.get_tag("capability:missing_values")
@@ -175,7 +175,7 @@ def test_multivariate_tag_inference():
         n_cases=10, n_channels=2, n_timepoints=12, regression_target=True
     )
 
-    r1 = MockHandlesAllInput()
+    r1 = MockRegressorFullTags()
     r2 = MockRegressor()
 
     assert r1.get_tag("capability:multivariate")
diff --git a/aeon/regression/tests/test_base.py b/aeon/regression/tests/test_base.py
index 30302de8c7..d04469db8b 100644
--- a/aeon/regression/tests/test_base.py
+++ b/aeon/regression/tests/test_base.py
@@ -12,7 +12,7 @@
     EQUAL_LENGTH_UNIVARIATE_REGRESSION,
     UNEQUAL_LENGTH_UNIVARIATE_REGRESSION,
 )
-from aeon.utils import COLLECTIONS_DATA_TYPES
+from aeon.utils.data_types import COLLECTIONS_DATA_TYPES
 
 
 class _TestRegressor(BaseRegressor):
diff --git a/aeon/segmentation/tests/test_base.py b/aeon/segmentation/tests/test_base.py
index 013e4ecdad..870fbdb7e5 100644
--- a/aeon/segmentation/tests/test_base.py
+++ b/aeon/segmentation/tests/test_base.py
@@ -5,7 +5,7 @@
 import pytest
 
 from aeon.segmentation.base import BaseSegmenter
-from aeon.testing.mock_estimators import MockSegmenter, SupervisedMockSegmenter
+from aeon.testing.mock_estimators import MockSegmenter, MockSegmenterRequiresY
 
 
 def test_fit_predict_correct():
@@ -25,7 +25,7 @@ def test_fit_predict_correct():
     assert res.is_fitted
     res = seg.fit_predict(x_correct)
     assert isinstance(res, np.ndarray)
-    seg = SupervisedMockSegmenter()
+    seg = MockSegmenterRequiresY()
     res = seg.fit(x_correct, y=x_correct)
     assert res.is_fitted
     with pytest.raises(
diff --git a/aeon/testing/estimator_checking/_estimator_checking.py b/aeon/testing/estimator_checking/_estimator_checking.py
index c07815ea89..97eed5a0e9 100644
--- a/aeon/testing/estimator_checking/_estimator_checking.py
+++ b/aeon/testing/estimator_checking/_estimator_checking.py
@@ -193,6 +193,7 @@ class is passed.
     {'check_get_params(estimator=MockClassifier())': 'PASSED'}
     """
     # check if estimator has soft dependencies installed
+    _check_soft_dependencies("pytest")
     _check_estimator_deps(estimator)
 
     checks = []
diff --git a/aeon/testing/estimator_checking/_yield_anomaly_detection_checks.py b/aeon/testing/estimator_checking/_yield_anomaly_detection_checks.py
index 0d94fbc34f..5f2f05aaa9 100644
--- a/aeon/testing/estimator_checking/_yield_anomaly_detection_checks.py
+++ b/aeon/testing/estimator_checking/_yield_anomaly_detection_checks.py
@@ -3,7 +3,6 @@
 from functools import partial
 
 import numpy as np
-import pytest
 
 from aeon.base._base import _clone_estimator
 from aeon.base._base_series import VALID_SERIES_INNER_TYPES
@@ -64,6 +63,8 @@ def check_anomaly_detector_overrides_and_tags(estimator_class):
 
 def check_anomaly_detector_univariate(estimator):
     """Test the anomaly detector on univariate data."""
+    import pytest
+
     estimator = _clone_estimator(estimator)
 
     if estimator.get_tag(tag_name="capability:univariate"):
@@ -78,6 +79,8 @@ def check_anomaly_detector_univariate(estimator):
 
 def check_anomaly_detector_multivariate(estimator):
     """Test the anomaly detector on multivariate data."""
+    import pytest
+
     estimator = _clone_estimator(estimator)
 
     if estimator.get_tag(tag_name="capability:multivariate"):
diff --git a/aeon/testing/estimator_checking/_yield_classification_checks.py b/aeon/testing/estimator_checking/_yield_classification_checks.py
index 00b82705de..09f15877be 100644
--- a/aeon/testing/estimator_checking/_yield_classification_checks.py
+++ b/aeon/testing/estimator_checking/_yield_classification_checks.py
@@ -24,7 +24,7 @@
     _assert_predict_probabilities,
     _get_tag,
 )
-from aeon.utils import COLLECTIONS_DATA_TYPES
+from aeon.utils.data_types import COLLECTIONS_DATA_TYPES
 from aeon.utils.validation import get_n_cases
 
 
diff --git a/aeon/testing/estimator_checking/_yield_estimator_checks.py b/aeon/testing/estimator_checking/_yield_estimator_checks.py
index b5fb60c1d3..70f714d4d9 100644
--- a/aeon/testing/estimator_checking/_yield_estimator_checks.py
+++ b/aeon/testing/estimator_checking/_yield_estimator_checks.py
@@ -9,7 +9,6 @@
 
 import joblib
 import numpy as np
-import pytest
 from numpy.testing import assert_array_almost_equal
 from sklearn.exceptions import NotFittedError
 
@@ -596,6 +595,8 @@ def check_fit_updates_state_and_cloning(estimator, datatype):
 
 def check_raises_not_fitted_error(estimator, datatype):
     """Check exception raised for non-fit method calls to unfitted estimators."""
+    import pytest
+
     estimator = _clone_estimator(estimator)
 
     for method in NON_STATE_CHANGING_METHODS:
diff --git a/aeon/testing/estimator_checking/_yield_regression_checks.py b/aeon/testing/estimator_checking/_yield_regression_checks.py
index bf6d2cb568..52933e81f7 100644
--- a/aeon/testing/estimator_checking/_yield_regression_checks.py
+++ b/aeon/testing/estimator_checking/_yield_regression_checks.py
@@ -20,7 +20,7 @@
 )
 from aeon.testing.testing_data import FULL_TEST_DATA_DICT
 from aeon.testing.utils.estimator_checks import _assert_predict_labels, _get_tag
-from aeon.utils import COLLECTIONS_DATA_TYPES
+from aeon.utils.data_types import COLLECTIONS_DATA_TYPES
 
 
 def _yield_regression_checks(estimator_class, estimator_instances, datatypes):
diff --git a/aeon/testing/estimator_checking/_yield_segmentation_checks.py b/aeon/testing/estimator_checking/_yield_segmentation_checks.py
index 6c2c964f5a..054ca56bd4 100644
--- a/aeon/testing/estimator_checking/_yield_segmentation_checks.py
+++ b/aeon/testing/estimator_checking/_yield_segmentation_checks.py
@@ -3,7 +3,6 @@
 from functools import partial
 
 import numpy as np
-import pytest
 
 from aeon.base._base import _clone_estimator
 from aeon.base._base_series import VALID_SERIES_INNER_TYPES
@@ -42,6 +41,8 @@ def check_segmenter_base_functionality(estimator_class):
 
 def check_segmenter_instance(estimator):
     """Test segmenters."""
+    import pytest
+
     estimator = _clone_estimator(estimator)
 
     def _assert_output(output, dense, length):
diff --git a/aeon/testing/estimator_checking/_yield_soft_dependency_checks.py b/aeon/testing/estimator_checking/_yield_soft_dependency_checks.py
index 83c6f96b83..ed5c9605b1 100644
--- a/aeon/testing/estimator_checking/_yield_soft_dependency_checks.py
+++ b/aeon/testing/estimator_checking/_yield_soft_dependency_checks.py
@@ -6,8 +6,6 @@
 
 from functools import partial
 
-import pytest
-
 from aeon.utils.validation._dependencies import (
     _check_python_version,
     _check_soft_dependencies,
@@ -23,6 +21,8 @@ def _yield_soft_dependency_checks(estimator_class, estimator_instances, datatype
 
 def check_python_version_softdep(estimator_class):
     """Test that estimators raise error if python version is wrong."""
+    import pytest
+
     # if dependencies are incompatible skip
     softdeps = estimator_class.get_class_tag("python_dependencies", None)
     if softdeps is not None and not _check_soft_dependencies(softdeps, severity="none"):
@@ -46,6 +46,8 @@ def check_python_version_softdep(estimator_class):
 
 def check_python_dependency_softdep(estimator_class):
     """Test that estimators raise error if required soft dependencies are missing."""
+    import pytest
+
     # if python version is incompatible skip
     if not _check_python_version(estimator_class, severity="none"):
         return
diff --git a/aeon/testing/estimator_checking/_yield_transformation_checks.py b/aeon/testing/estimator_checking/_yield_transformation_checks.py
index 507c8c1e08..4a8c51f795 100644
--- a/aeon/testing/estimator_checking/_yield_transformation_checks.py
+++ b/aeon/testing/estimator_checking/_yield_transformation_checks.py
@@ -20,7 +20,7 @@
 from aeon.testing.utils.estimator_checks import _run_estimator_method
 from aeon.transformations.collection.channel_selection.base import BaseChannelSelector
 from aeon.transformations.series import BaseSeriesTransformer
-from aeon.utils import COLLECTIONS_DATA_TYPES
+from aeon.utils.data_types import COLLECTIONS_DATA_TYPES
 
 
 def _yield_transformation_checks(estimator_class, estimator_instances, datatypes):
diff --git a/aeon/testing/mock_estimators/__init__.py b/aeon/testing/mock_estimators/__init__.py
index 32d947cb7d..219fc3e987 100644
--- a/aeon/testing/mock_estimators/__init__.py
+++ b/aeon/testing/mock_estimators/__init__.py
@@ -1,26 +1,46 @@
 """Mock estimators for testing and debugging."""
 
 __all__ = [
-    "make_mock_estimator",
+    # anomaly detection
+    "MockAnomalyDetector",
+    "MockAnomalyDetectorRequiresFit",
+    "MockAnomalyDetectorRequiresY",
+    # classification
     "MockClassifier",
     "MockClassifierPredictProba",
     "MockClassifierFullTags",
     "MockClassifierParams",
+    "MockClassifierComposite",
+    # clustering
     "MockCluster",
     "MockDeepClusterer",
-    "MockSegmenter",
-    "SupervisedMockSegmenter",
-    "MockHandlesAllInput",
+    # collection transformation
+    "MockCollectionTransformer",
+    # forecasting
+    "MockForecaster",
+    # regression
     "MockRegressor",
+    "MockRegressorFullTags",
+    # segmentation
+    "MockSegmenter",
+    "MockSegmenterRequiresY",
+    # series transformation
+    "MockSeriesTransformer",
+    "MockUnivariateSeriesTransformer",
     "MockMultivariateSeriesTransformer",
     "MockSeriesTransformerNoFit",
-    "MockUnivariateSeriesTransformer",
-    "MockCollectionTransformer",
-    "MockSeriesTransformer",
+    # similarity search
+    "MockSimilaritySearch",
 ]
 
+from aeon.testing.mock_estimators._mock_anomaly_detectors import (
+    MockAnomalyDetector,
+    MockAnomalyDetectorRequiresFit,
+    MockAnomalyDetectorRequiresY,
+)
 from aeon.testing.mock_estimators._mock_classifiers import (
     MockClassifier,
+    MockClassifierComposite,
     MockClassifierFullTags,
     MockClassifierParams,
     MockClassifierPredictProba,
@@ -29,13 +49,14 @@
 from aeon.testing.mock_estimators._mock_collection_transformers import (
     MockCollectionTransformer,
 )
+from aeon.testing.mock_estimators._mock_forecasters import MockForecaster
 from aeon.testing.mock_estimators._mock_regressors import (
-    MockHandlesAllInput,
     MockRegressor,
+    MockRegressorFullTags,
 )
 from aeon.testing.mock_estimators._mock_segmenters import (
     MockSegmenter,
-    SupervisedMockSegmenter,
+    MockSegmenterRequiresY,
 )
 from aeon.testing.mock_estimators._mock_series_transformers import (
     MockMultivariateSeriesTransformer,
@@ -43,3 +64,4 @@
     MockSeriesTransformerNoFit,
     MockUnivariateSeriesTransformer,
 )
+from aeon.testing.mock_estimators._mock_similarity_search import MockSimilaritySearch
diff --git a/aeon/testing/mock_estimators/_mock_anomaly_detectors.py b/aeon/testing/mock_estimators/_mock_anomaly_detectors.py
index 78ddfe76f1..4ec14d35fa 100644
--- a/aeon/testing/mock_estimators/_mock_anomaly_detectors.py
+++ b/aeon/testing/mock_estimators/_mock_anomaly_detectors.py
@@ -1,4 +1,4 @@
-"""Mock anomaly detectors for testing."""
+"""Mock anomaly detectorsuseful for testing and debugging."""
 
 __maintainer__ = ["MatthewMiddlehurst"]
 __all__ = [
diff --git a/aeon/testing/mock_estimators/_mock_classifiers.py b/aeon/testing/mock_estimators/_mock_classifiers.py
index bcfcb8162e..1bf9357d60 100644
--- a/aeon/testing/mock_estimators/_mock_classifiers.py
+++ b/aeon/testing/mock_estimators/_mock_classifiers.py
@@ -1,7 +1,13 @@
-"""Mock classifiers useful for testing and debugging.
-
-Used in tests for the classifier base class.
-"""
+"""Mock classifiers useful for testing and debugging."""
+
+__maintainer__ = ["MatthewMiddlehurst"]
+__all__ = [
+    "MockClassifier",
+    "MockClassifierPredictProba",
+    "MockClassifierFullTags",
+    "MockClassifierParams",
+    "MockClassifierComposite",
+]
 
 import numpy as np
 
diff --git a/aeon/testing/mock_estimators/_mock_clusterers.py b/aeon/testing/mock_estimators/_mock_clusterers.py
index b920b83c30..53b1014290 100644
--- a/aeon/testing/mock_estimators/_mock_clusterers.py
+++ b/aeon/testing/mock_estimators/_mock_clusterers.py
@@ -1,3 +1,11 @@
+"""Mock clusterers useful for testing and debugging."""
+
+__maintainer__ = []
+__all__ = [
+    "MockCluster",
+    "MockDeepClusterer",
+]
+
 import numpy as np
 
 from aeon.clustering.base import BaseClusterer
diff --git a/aeon/testing/mock_estimators/_mock_collection_transformers.py b/aeon/testing/mock_estimators/_mock_collection_transformers.py
index bc59069283..7feb8d46a9 100644
--- a/aeon/testing/mock_estimators/_mock_collection_transformers.py
+++ b/aeon/testing/mock_estimators/_mock_collection_transformers.py
@@ -1,4 +1,9 @@
-"""Mock collection transformers."""
+"""Mock collection transformers useful for testing and debugging."""
+
+__maintainer__ = []
+__all__ = [
+    "MockCollectionTransformer",
+]
 
 from aeon.transformations.collection import BaseCollectionTransformer
 
diff --git a/aeon/testing/mock_estimators/_mock_forecasters.py b/aeon/testing/mock_estimators/_mock_forecasters.py
index f5bb86d249..8eb2ba2635 100644
--- a/aeon/testing/mock_estimators/_mock_forecasters.py
+++ b/aeon/testing/mock_estimators/_mock_forecasters.py
@@ -1,7 +1,10 @@
-"""Mock forecasters useful for testing and debugging.
+"""Mock forecasters useful for testing and debugging."""
+
+__maintainer__ = ["TonyBagnall"]
+__all__ = [
+    "MockForecaster",
+]
 
-Used in tests for the forecasting base class.
-"""
 
 from aeon.forecasting.base import BaseForecaster
 
diff --git a/aeon/testing/mock_estimators/_mock_regressors.py b/aeon/testing/mock_estimators/_mock_regressors.py
index 355534abac..5258019aab 100644
--- a/aeon/testing/mock_estimators/_mock_regressors.py
+++ b/aeon/testing/mock_estimators/_mock_regressors.py
@@ -1,3 +1,11 @@
+"""Mock regressors useful for testing and debugging."""
+
+__maintainer__ = ["MatthewMiddlehurst"]
+__all__ = [
+    "MockRegressor",
+    "MockRegressorFullTags",
+]
+
 from sklearn.utils import check_random_state
 
 from aeon.regression.base import BaseRegressor
@@ -20,7 +28,7 @@ def _predict(self, X):
         return rng.random(size=(len(X)))
 
 
-class MockHandlesAllInput(BaseRegressor):
+class MockRegressorFullTags(BaseRegressor):
     """Dummy regressor for testing base class fit/predict/predict_proba."""
 
     _tags = {
diff --git a/aeon/testing/mock_estimators/_mock_segmenters.py b/aeon/testing/mock_estimators/_mock_segmenters.py
index 82ff6a81f6..45b7a524aa 100644
--- a/aeon/testing/mock_estimators/_mock_segmenters.py
+++ b/aeon/testing/mock_estimators/_mock_segmenters.py
@@ -1,4 +1,10 @@
-"""Mock segmenters for testing."""
+"""Mock segmenters useful for testing and debugging."""
+
+__maintainer__ = []
+__all__ = [
+    "MockSegmenter",
+    "MockSegmenterRequiresY",
+]
 
 import numpy as np
 
@@ -42,7 +48,7 @@ def _get_test_params(cls, parameter_set="default"):
         return {}
 
 
-class SupervisedMockSegmenter(MockSegmenter):
+class MockSegmenterRequiresY(MockSegmenter):
     """Mock segmenter for testing."""
 
     _tags = {
diff --git a/aeon/testing/mock_estimators/_mock_series_transformers.py b/aeon/testing/mock_estimators/_mock_series_transformers.py
index 937f4a6325..66d62ef687 100644
--- a/aeon/testing/mock_estimators/_mock_series_transformers.py
+++ b/aeon/testing/mock_estimators/_mock_series_transformers.py
@@ -1,4 +1,12 @@
-"""Mock series transformers."""
+"""Mock series transformers useful for testing and debugging."""
+
+__maintainer__ = []
+__all__ = [
+    "MockSeriesTransformer",
+    "MockUnivariateSeriesTransformer",
+    "MockMultivariateSeriesTransformer",
+    "MockSeriesTransformerNoFit",
+]
 
 import numpy as np
 
diff --git a/aeon/testing/mock_estimators/_mock_similarity_search.py b/aeon/testing/mock_estimators/_mock_similarity_search.py
index 8542b81a1b..55c9c435c7 100644
--- a/aeon/testing/mock_estimators/_mock_similarity_search.py
+++ b/aeon/testing/mock_estimators/_mock_similarity_search.py
@@ -1,12 +1,14 @@
-"""Mock similarity search useful for testing and debugging.
+"""Mock similarity searchers useful for testing and debugging."""
 
-Used in tests for the query search base class.
-"""
+__maintainer__ = ["baraline"]
+__all__ = [
+    "MockSimilaritySearch",
+]
 
 from aeon.similarity_search.base import BaseSimilaritySearch
 
 
-class MocksimilaritySearch(BaseSimilaritySearch):
+class MockSimilaritySearch(BaseSimilaritySearch):
     """Mock similarity search for testing base class predict."""
 
     def _fit(self, X, y=None):
diff --git a/aeon/testing/tests/__init__.py b/aeon/testing/tests/__init__.py
index 69d1ff2d83..aaeacff24d 100644
--- a/aeon/testing/tests/__init__.py
+++ b/aeon/testing/tests/__init__.py
@@ -1 +1,13 @@
-"""Tests for the aeon package and testing module utiltiies."""
+"""Tests for the aeon package and testing module utilties."""
+
+import pkgutil
+
+import aeon
+
+# collect all modules
+ALL_AEON_MODULES = pkgutil.walk_packages(aeon.__path__, aeon.__name__ + ".")
+ALL_AEON_MODULES = [x[1] for x in ALL_AEON_MODULES]
+
+ALL_AEON_MODULES_NO_TESTS = [
+    x for x in ALL_AEON_MODULES if not any(part == "tests" for part in x.split("."))
+]
diff --git a/aeon/testing/tests/test_core_imports.py b/aeon/testing/tests/test_core_imports.py
new file mode 100644
index 0000000000..f13740c08e
--- /dev/null
+++ b/aeon/testing/tests/test_core_imports.py
@@ -0,0 +1,26 @@
+"""Tests that non-core dependencies are handled correctly in modules."""
+
+import re
+from importlib import import_module
+
+from aeon.testing.tests import ALL_AEON_MODULES_NO_TESTS
+
+if __name__ == "__main__":
+    """Test imports in aeon modules with core dependencies only.
+
+    Imports all modules and catch exceptions due to missing dependencies.
+    """
+    for module in ALL_AEON_MODULES_NO_TESTS:
+        try:
+            import_module(module)
+        except ModuleNotFoundError as e:  # pragma: no cover
+            dependency = "unknown"
+            match = re.search(r"\'(.+?)\'", str(e))
+            if match:
+                dependency = match.group(1)
+
+            raise ModuleNotFoundError(
+                f"The module: {module} should not require any non-core dependencies, "
+                f"but tried importing: '{dependency}'. Make sure non-core dependencies "
+                f"are properly isolated outside of tests/ directories."
+            ) from e
diff --git a/aeon/testing/tests/test_softdeps.py b/aeon/testing/tests/test_softdeps.py
index 830d0e80f0..2271d21497 100644
--- a/aeon/testing/tests/test_softdeps.py
+++ b/aeon/testing/tests/test_softdeps.py
@@ -1,23 +1,14 @@
 """Tests that soft dependencies are handled correctly in modules."""
 
-__maintainer__ = []
-
-import pkgutil
 import re
 from importlib import import_module
 
 import pytest
 
-import aeon
 from aeon.testing.testing_config import PR_TESTING
+from aeon.testing.tests import ALL_AEON_MODULES, ALL_AEON_MODULES_NO_TESTS
 
-# collect all modules
-modules = pkgutil.walk_packages(aeon.__path__, aeon.__name__ + ".")
-modules = [x[1] for x in modules]
-
-if PR_TESTING:  # pragma: no cover
-    # exclude test modules
-    modules = [x for x in modules if not any(part == "tests" for part in x.split("."))]
+modules = ALL_AEON_MODULES_NO_TESTS if PR_TESTING else ALL_AEON_MODULES
 
 
 def test_module_crawl():
diff --git a/aeon/testing/tests/test_testing_data.py b/aeon/testing/tests/test_testing_data.py
index 505cb474a8..f9afe264dd 100644
--- a/aeon/testing/tests/test_testing_data.py
+++ b/aeon/testing/tests/test_testing_data.py
@@ -20,7 +20,7 @@
     UNEQUAL_LENGTH_UNIVARIATE_REGRESSION,
     UNEQUAL_LENGTH_UNIVARIATE_SIMILARITY_SEARCH,
 )
-from aeon.utils import COLLECTIONS_DATA_TYPES
+from aeon.utils.data_types import COLLECTIONS_DATA_TYPES
 from aeon.utils.validation import (
     has_missing,
     is_collection,
diff --git a/aeon/testing/utils/deep_equals.py b/aeon/testing/utils/deep_equals.py
index 86c6c5cd96..81f6d91534 100644
--- a/aeon/testing/utils/deep_equals.py
+++ b/aeon/testing/utils/deep_equals.py
@@ -1,6 +1,6 @@
 """Testing utility to compare equality in value for nested objects."""
 
-__maintainer__ = []
+__maintainer__ = ["MatthewMiddlehurst"]
 __all__ = ["deep_equals"]
 
 from inspect import isclass
diff --git a/aeon/testing/utils/output_supression.py b/aeon/testing/utils/output_suppression.py
similarity index 100%
rename from aeon/testing/utils/output_supression.py
rename to aeon/testing/utils/output_suppression.py
diff --git a/aeon/testing/utils/tests/test_output_supression.py b/aeon/testing/utils/tests/test_output_supression.py
index 8e8b0a4862..56f7b18ec5 100644
--- a/aeon/testing/utils/tests/test_output_supression.py
+++ b/aeon/testing/utils/tests/test_output_supression.py
@@ -2,7 +2,7 @@
 
 import sys
 
-from aeon.testing.utils.output_supression import suppress_output
+from aeon.testing.utils.output_suppression import suppress_output
 
 
 @suppress_output()
diff --git a/aeon/transformations/collection/_hog1d.py b/aeon/transformations/collection/_hog1d.py
index 3deddf5931..a3cc18d8aa 100644
--- a/aeon/transformations/collection/_hog1d.py
+++ b/aeon/transformations/collection/_hog1d.py
@@ -6,7 +6,7 @@
 import numpy as np
 
 from aeon.transformations.collection.base import BaseCollectionTransformer
-from aeon.utils import split_series
+from aeon.utils.split import split_series
 
 
 class HOG1DTransformer(BaseCollectionTransformer):
diff --git a/aeon/transformations/collection/_slope.py b/aeon/transformations/collection/_slope.py
index 7a11cbcdb6..cf9d860478 100644
--- a/aeon/transformations/collection/_slope.py
+++ b/aeon/transformations/collection/_slope.py
@@ -8,7 +8,7 @@
 import numpy as np
 
 from aeon.transformations.collection.base import BaseCollectionTransformer
-from aeon.utils import split_series
+from aeon.utils.split import split_series
 
 
 class SlopeTransformer(BaseCollectionTransformer):
diff --git a/aeon/transformations/collection/compose/_identity.py b/aeon/transformations/collection/compose/_identity.py
index 20c6674b6b..a359255242 100644
--- a/aeon/transformations/collection/compose/_identity.py
+++ b/aeon/transformations/collection/compose/_identity.py
@@ -1,7 +1,7 @@
 """Identity transformer."""
 
 from aeon.transformations.collection import BaseCollectionTransformer
-from aeon.utils import COLLECTIONS_DATA_TYPES
+from aeon.utils.data_types import COLLECTIONS_DATA_TYPES
 
 
 class CollectionId(BaseCollectionTransformer):
diff --git a/aeon/utils/__init__.py b/aeon/utils/__init__.py
index 8f16b7102d..e198bb676e 100644
--- a/aeon/utils/__init__.py
+++ b/aeon/utils/__init__.py
@@ -1,20 +1,7 @@
 """Utility functionality."""
 
 __all__ = [
-    "split_series",
-    "ALL_TIME_SERIES_TYPES",
-    "COLLECTIONS_DATA_TYPES",
-    "SERIES_DATA_TYPES",
-    "HIERARCHICAL_DATA_TYPES",
-    # github debug util
-    "show_versions",
+    "show_versions",  # github debug util
 ]
 
-from aeon.utils._data_types import (
-    ALL_TIME_SERIES_TYPES,
-    COLLECTIONS_DATA_TYPES,
-    HIERARCHICAL_DATA_TYPES,
-    SERIES_DATA_TYPES,
-)
-from aeon.utils._split import split_series
 from aeon.utils.show_versions import show_versions
diff --git a/aeon/utils/conversion/_convert_collection.py b/aeon/utils/conversion/_convert_collection.py
index e41ed0c8a2..0e3e28f1af 100644
--- a/aeon/utils/conversion/_convert_collection.py
+++ b/aeon/utils/conversion/_convert_collection.py
@@ -22,7 +22,7 @@
 import pandas as pd
 from numba.typed import List as NumbaList
 
-from aeon.utils._data_types import COLLECTIONS_DATA_TYPES
+from aeon.utils.data_types import COLLECTIONS_DATA_TYPES
 from aeon.utils.validation.collection import _equal_length, get_type
 
 
diff --git a/aeon/utils/conversion/tests/test_convert_collection.py b/aeon/utils/conversion/tests/test_convert_collection.py
index e9940aa673..3776dc7f4f 100644
--- a/aeon/utils/conversion/tests/test_convert_collection.py
+++ b/aeon/utils/conversion/tests/test_convert_collection.py
@@ -8,7 +8,6 @@
     EQUAL_LENGTH_UNIVARIATE_CLASSIFICATION,
     UNEQUAL_LENGTH_UNIVARIATE_CLASSIFICATION,
 )
-from aeon.utils import COLLECTIONS_DATA_TYPES
 from aeon.utils.conversion._convert_collection import (
     _from_numpy2d_to_df_list,
     _from_numpy2d_to_np_list,
@@ -24,6 +23,7 @@
     resolve_equal_length_inner_type,
     resolve_unequal_length_inner_type,
 )
+from aeon.utils.data_types import COLLECTIONS_DATA_TYPES
 from aeon.utils.validation.collection import (
     _equal_length,
     get_n_cases,
diff --git a/aeon/utils/_data_types.py b/aeon/utils/data_types.py
similarity index 100%
rename from aeon/utils/_data_types.py
rename to aeon/utils/data_types.py
diff --git a/aeon/utils/networks/weight_norm.py b/aeon/utils/networks/weight_norm.py
index 1a613f9b64..459cfd7104 100644
--- a/aeon/utils/networks/weight_norm.py
+++ b/aeon/utils/networks/weight_norm.py
@@ -5,7 +5,7 @@
 if _check_soft_dependencies(["tensorflow"], severity="none"):
     import tensorflow as tf
 
-    class WeightNormalization(tf.keras.layers.Wrapper):
+    class _WeightNormalization(tf.keras.layers.Wrapper):
         """Apply weight normalization to a Keras layer."""
 
         def __init__(self, layer, **kwargs):
diff --git a/aeon/utils/sklearn.py b/aeon/utils/sklearn.py
index 1f7d45a6fc..8ee26cf311 100644
--- a/aeon/utils/sklearn.py
+++ b/aeon/utils/sklearn.py
@@ -1,5 +1,15 @@
 """Sklearn related typing and inheritance checking utility."""
 
+__maintainer__ = []
+__all__ = [
+    "is_sklearn_estimator",
+    "sklearn_estimator_identifier",
+    "is_sklearn_transformer",
+    "is_sklearn_classifier",
+    "is_sklearn_regressor",
+    "is_sklearn_clusterer",
+]
+
 from inspect import isclass
 
 from sklearn.base import (
@@ -12,8 +22,6 @@
 from sklearn.model_selection import GridSearchCV, RandomizedSearchCV
 from sklearn.pipeline import Pipeline
 
-__maintainer__ = []
-
 from aeon.base import BaseAeonEstimator
 
 
diff --git a/aeon/utils/_split.py b/aeon/utils/split.py
similarity index 100%
rename from aeon/utils/_split.py
rename to aeon/utils/split.py
diff --git a/aeon/utils/tags/_tags.py b/aeon/utils/tags/_tags.py
index 554584115e..e1bacdd5ad 100644
--- a/aeon/utils/tags/_tags.py
+++ b/aeon/utils/tags/_tags.py
@@ -17,7 +17,7 @@ class : identifier for the base class of objects this tag applies to
 __maintainer__ = ["MatthewMiddlehurst"]
 __all__ = ["ESTIMATOR_TAGS"]
 
-from aeon.utils import COLLECTIONS_DATA_TYPES, SERIES_DATA_TYPES
+from aeon.utils.data_types import COLLECTIONS_DATA_TYPES, SERIES_DATA_TYPES
 
 ESTIMATOR_TAGS = {
     # all estimators
diff --git a/aeon/utils/tests/test_show_versions.py b/aeon/utils/tests/test_show_versions.py
index 866692a7d6..b47810ed98 100644
--- a/aeon/utils/tests/test_show_versions.py
+++ b/aeon/utils/tests/test_show_versions.py
@@ -1,6 +1,6 @@
 """Test the show versions function."""
 
-from aeon.testing.utils.output_supression import suppress_output
+from aeon.testing.utils.output_suppression import suppress_output
 from aeon.utils.show_versions import show_versions
 
 
diff --git a/aeon/utils/tests/test_split.py b/aeon/utils/tests/test_split.py
index 3c4f8df751..4e655f3aa2 100644
--- a/aeon/utils/tests/test_split.py
+++ b/aeon/utils/tests/test_split.py
@@ -3,7 +3,7 @@
 import numpy as np
 import pytest
 
-from aeon.utils import split_series
+from aeon.utils.split import split_series
 
 X = np.arange(10)
 testdata = [
diff --git a/aeon/utils/tests/test_weighted_metrics.py b/aeon/utils/tests/test_weighted_metrics.py
deleted file mode 100644
index c8a0b09135..0000000000
--- a/aeon/utils/tests/test_weighted_metrics.py
+++ /dev/null
@@ -1,25 +0,0 @@
-"""Test weighted metric."""
-
-import numpy as np
-import pytest
-
-from aeon.utils.weighted_metrics import weighted_geometric_mean
-
-
-def test_weighted_geometric_mean():
-    """Test weighted_geometric_mean."""
-    y = np.array([1.0, 2.0, 3.0])
-    w = np.array([0.1, 0.8, 0.1])
-    w2 = np.array([[0.1, 0.8, 0.1]]).T
-    res = weighted_geometric_mean(y, w)
-    assert round(res, 5) == 1.94328
-    res2 = weighted_geometric_mean(y, w, axis=0)
-    assert res == res2
-    y2 = np.array([[1.0, 2.0, 3.0]]).T
-    with pytest.raises(ValueError, match="do not match"):
-        weighted_geometric_mean(y2, w, axis=1)
-    weighted_geometric_mean(y2, w2, axis=1)
-    with pytest.raises(
-        ValueError, match="Input data and weights have inconsistent shapes"
-    ):
-        weighted_geometric_mean(y, w2)
diff --git a/aeon/utils/tests/test_weightnorm.py b/aeon/utils/tests/test_weightnorm.py
index 43b20293d5..0642530b2c 100644
--- a/aeon/utils/tests/test_weightnorm.py
+++ b/aeon/utils/tests/test_weightnorm.py
@@ -16,11 +16,11 @@ def test_weight_norm():
     import numpy as np
     import tensorflow as tf
 
-    from aeon.utils.networks.weight_norm import WeightNormalization
+    from aeon.utils.networks.weight_norm import _WeightNormalization
 
     X = np.random.random((10, 10, 5))
     _input = tf.keras.layers.Input((10, 5))
-    l1 = WeightNormalization(
+    l1 = _WeightNormalization(
         tf.keras.layers.Conv1D(filters=5, kernel_size=1, dilation_rate=4)
     )(_input)
     model = tf.keras.models.Model(inputs=_input, outputs=l1)
@@ -42,7 +42,7 @@ def test_weight_norm():
     model_path = "test_weight_norm_model.h5"
     model.save(model_path)
     loaded_model = tf.keras.models.load_model(
-        model_path, custom_objects={"WeightNormalization": WeightNormalization}
+        model_path, custom_objects={"_WeightNormalization": _WeightNormalization}
     )
     assert loaded_model is not None
     loaded_output = loaded_model.predict(X)
diff --git a/aeon/utils/validation/__init__.py b/aeon/utils/validation/__init__.py
index 14a16853ad..7e86a79a13 100644
--- a/aeon/utils/validation/__init__.py
+++ b/aeon/utils/validation/__init__.py
@@ -12,7 +12,6 @@
     "check_window_length",
     "get_n_cases",
     "get_type",
-    "equal_length",
     "is_equal_length",
     "has_missing",
     "is_univariate",
diff --git a/aeon/utils/validation/tests/test_collection.py b/aeon/utils/validation/tests/test_collection.py
index b1c27e4a64..4c53572b32 100644
--- a/aeon/utils/validation/tests/test_collection.py
+++ b/aeon/utils/validation/tests/test_collection.py
@@ -13,7 +13,7 @@
     make_example_3d_numpy_list,
 )
 from aeon.testing.testing_data import EQUAL_LENGTH_UNIVARIATE_CLASSIFICATION
-from aeon.utils import COLLECTIONS_DATA_TYPES
+from aeon.utils.data_types import COLLECTIONS_DATA_TYPES
 from aeon.utils.validation.collection import (
     _is_numpy_list_multivariate,
     _is_pd_wide,
diff --git a/aeon/utils/weighted_metrics.py b/aeon/utils/weighted_metrics.py
deleted file mode 100644
index 84ec005d2f..0000000000
--- a/aeon/utils/weighted_metrics.py
+++ /dev/null
@@ -1,44 +0,0 @@
-"""Statistical functionality used throughout aeon."""
-
-import numpy as np
-from sklearn.utils.validation import check_consistent_length
-
-__maintainer__ = []
-__all__ = [
-    "weighted_geometric_mean",
-]
-
-
-def weighted_geometric_mean(y, weights, axis=None):
-    """Calculate weighted version of geometric mean.
-
-    Parameters
-    ----------
-    y : np.ndarray
-        Values to take the weighted geometric mean of.
-    weights: np.ndarray
-        Weights for each value in `array`. Must be same shape as `array` or
-        of shape `(array.shape[0],)` if axis=0 or `(array.shape[1], ) if axis=1.
-    axis : int
-        The axis of `y` to apply the weights to.
-
-    Returns
-    -------
-    geometric_mean : float
-        Weighted geometric mean
-    """
-    if weights.ndim == 1:
-        if axis == 0:
-            check_consistent_length(y, weights)
-        elif axis == 1:
-            if y.shape[1] != len(weights):
-                raise ValueError(
-                    f"Input features ({y.shape[1]}) do not match "
-                    f"number of `weights` ({len(weights)})."
-                )
-        weight_sums = np.sum(weights)
-    else:
-        if y.shape != weights.shape:
-            raise ValueError("Input data and weights have inconsistent shapes.")
-        weight_sums = np.sum(weights, axis=axis)
-    return np.exp(np.sum(weights * np.log(y), axis=axis) / weight_sums)
diff --git a/docs/api_reference.md b/docs/api_reference.md
index 34a580ba74..d0c6335ca7 100644
--- a/docs/api_reference.md
+++ b/docs/api_reference.md
@@ -19,6 +19,7 @@ api_reference/clustering
 api_reference/data_format
 api_reference/datasets
 api_reference/distances
+api_reference/forecasting
 api_reference/networks
 api_reference/regression
 api_reference/segmentation
diff --git a/docs/api_reference/forecasting.md b/docs/api_reference/forecasting.md
new file mode 100644
index 0000000000..131fb8be86
--- /dev/null
+++ b/docs/api_reference/forecasting.md
@@ -0,0 +1,14 @@
+# Forecasting
+
+```{eval-rst}
+.. currentmodule:: aeon.datasets
+
+.. autosummary::
+    :toctree: auto_generated/
+    :template: class.rst
+
+    DummyForecaster
+    BaseForecaster
+    RegressionForecaster
+    ETSForecaster
+```
diff --git a/docs/api_reference/utils.rst b/docs/api_reference/utils.rst
index adaacdf0f2..40dea9f67c 100644
--- a/docs/api_reference/utils.rst
+++ b/docs/api_reference/utils.rst
@@ -5,18 +5,13 @@ Utility functions
 
 ``aeon`` has a number of modules dedicated to utilities:
 
-* :mod:`aeon.pipeline`, which contains generics for pipeline construction.
+* :mod:`aeon.pipeline`, which contains functions for pipeline construction.
+* :mod:`aeon.testing`, which contains functions for estimator testing and data generation.
 * :mod:`aeon.utils`, which contains generic utility functions.
 
 
-Pipeline construction
----------------------
-
-:mod:`aeon.pipeline`
-
-.. automodule:: aeon.pipeline
-    :no-members:
-    :no-inherited-members:
+Pipeline
+--------
 
 .. currentmodule:: aeon.pipeline
 
@@ -26,3 +21,274 @@ Pipeline construction
 
     make_pipeline
     sklearn_to_aeon
+
+Testing
+-------
+
+Data Generation
+^^^^^^^^^^^^^^^
+
+.. currentmodule:: aeon.testing.data_generation
+
+.. autosummary::
+    :toctree: auto_generated/
+    :template: function.rst
+
+    make_example_3d_numpy
+    make_example_2d_numpy_collection
+    make_example_3d_numpy_list
+    make_example_2d_numpy_list
+    make_example_dataframe_list
+    make_example_2d_dataframe_collection
+    make_example_multi_index_dataframe
+    make_example_1d_numpy
+    make_example_2d_numpy_series
+    make_example_pandas_series
+    make_example_dataframe_series
+
+Estimator Checking
+^^^^^^^^^^^^^^^^^^
+
+.. currentmodule:: aeon.testing.estimator_checking
+
+.. autosummary::
+    :toctree: auto_generated/
+    :template: function.rst
+
+    check_estimator
+    parametrize_with_checks
+
+Mock Estimators
+^^^^^^^^^^^^^^^
+
+.. currentmodule:: aeon.testing.mock_estimators
+
+.. autosummary::
+    :toctree: auto_generated/
+    :template: class.rst
+
+    MockAnomalyDetector
+    MockAnomalyDetectorRequiresFit
+    MockAnomalyDetectorRequiresY
+    MockClassifier
+    MockClassifierPredictProba
+    MockClassifierFullTags
+    MockClassifierParams
+    MockClassifierComposite
+    MockCluster
+    MockDeepClusterer
+    MockCollectionTransformer
+    MockForecaster
+    MockRegressor
+    MockRegressorFullTags
+    MockSegmenter
+    MockSegmenterRequiresY
+    MockSeriesTransformer
+    MockUnivariateSeriesTransformer
+    MockMultivariateSeriesTransformer
+    MockSeriesTransformerNoFit
+    MockSimilaritySearch
+
+Utilities
+^^^^^^^^^
+
+.. currentmodule:: aeon.testing.utils.deep_equals
+
+.. autosummary::
+    :toctree: auto_generated/
+    :template: function.rst
+
+    deep_equals
+
+.. currentmodule:: aeon.testing.utils.output_suppression
+
+.. autosummary::
+    :toctree: auto_generated/
+    :template: function.rst
+
+    suppress_output
+
+Utils
+-----
+
+Estimator Discovery & Tags
+^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. currentmodule:: aeon.utils.base
+
+.. autosummary::
+    :toctree: auto_generated/
+    :template: function.rst
+
+    get_identifier
+
+.. currentmodule:: aeon.utils.discovery
+
+.. autosummary::
+    :toctree: auto_generated/
+    :template: function.rst
+
+    all_estimators
+
+.. currentmodule:: aeon.utils.tags
+
+.. autosummary::
+    :toctree: auto_generated/
+    :template: function.rst
+
+    check_valid_tags
+    all_tags_for_estimator
+
+
+Data Conversion & Validation
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. currentmodule:: aeon.utils.conversion
+
+.. autosummary::
+    :toctree: auto_generated/
+    :template: function.rst
+
+    resolve_equal_length_inner_type
+    resolve_unequal_length_inner_type
+    convert_collection
+    convert_series
+
+.. currentmodule:: aeon.utils.validation
+
+.. autosummary::
+    :toctree: auto_generated/
+    :template: function.rst
+
+    is_int
+    is_float
+    is_timedelta
+    is_date_offset
+    is_timedelta_or_date_offset
+    check_n_jobs
+    check_window_length
+    get_n_cases
+    get_type
+    is_equal_length
+    has_missing
+    is_univariate
+    is_univariate_series
+    is_single_series
+    is_collection
+    is_tabular
+    is_hierarchical
+
+Numba
+^^^^^
+
+.. currentmodule:: aeon.utils.numba.general
+
+.. autosummary::
+    :toctree: auto_generated/
+    :template: function.rst
+
+    unique_count
+    first_order_differences
+    first_order_differences_2d
+    first_order_differences_3d
+    z_normalise_series_with_mean
+    z_normalise_series
+    z_normalise_series_2d
+    z_normalise_series_3d
+    set_numba_random_seed
+    choice_log
+    get_subsequence
+    get_subsequence_with_mean_std
+    sliding_mean_std_one_series
+    combinations_1d
+    slope_derivative
+    slope_derivative_2d
+    slope_derivative_3d
+    generate_combinations
+
+.. currentmodule:: aeon.utils.numba.stats
+
+.. autosummary::
+    :toctree: auto_generated/
+    :template: function.rst
+
+    mean
+    row_mean
+    count_mean_crossing
+    row_count_mean_crossing
+    count_above_mean
+    row_count_above_mean
+    quantile
+    row_quantile
+    median
+    row_median
+    quantile25
+    row_quantile25
+    quantile75
+    row_quantile75
+    std
+    std2
+    row_std
+    numba_min
+    row_numba_min
+    numba_max
+    row_numba_max
+    slope
+    row_slope
+    iqr
+    row_iqr
+    ppv
+    row_ppv
+    fisher_score
+    prime_up_to
+    is_prime
+
+.. currentmodule:: aeon.utils.numba.wavelets
+
+.. autosummary::
+    :toctree: auto_generated/
+    :template: function.rst
+
+    haar_transform
+    multilevel_haar_transform
+
+Other
+^^^^^
+
+.. currentmodule:: aeon.utils
+
+.. autosummary::
+    :toctree: auto_generated/
+    :template: function.rst
+
+    show_versions
+
+.. currentmodule:: aeon.utils.sklearn
+
+.. autosummary::
+    :toctree: auto_generated/
+    :template: function.rst
+
+    is_sklearn_estimator
+    sklearn_estimator_identifier
+    is_sklearn_transformer
+    is_sklearn_classifier
+    is_sklearn_regressor
+    is_sklearn_clusterer
+
+.. currentmodule:: aeon.utils.split
+
+.. autosummary::
+    :toctree: auto_generated/
+    :template: function.rst
+
+    split_series
+
+.. currentmodule:: aeon.utils.windowing
+
+.. autosummary::
+    :toctree: auto_generated/
+    :template: function.rst
+
+    sliding_windows
+    reverse_windowing
diff --git a/docs/developer_guide/deprecation.md b/docs/developer_guide/deprecation.md
index a4b294b86a..4b10d81cb2 100644
--- a/docs/developer_guide/deprecation.md
+++ b/docs/developer_guide/deprecation.md
@@ -20,7 +20,6 @@ Note that the deprecation policy does not necessarily apply to modules we class
 experimental. Currently experimental modules are:
 
 - `anomaly_detection`
-- `benchmarking`
 - `forecasting`
 - `segmentation`
 - `similarity_search`
diff --git a/docs/getting_started.md b/docs/getting_started.md
index 3a4ef8dbc0..36f18583cb 100644
--- a/docs/getting_started.md
+++ b/docs/getting_started.md
@@ -26,6 +26,9 @@ classical techniques for the following learning tasks:
   ([more details](examples/similarity_search/similarity_search.ipynb)).
 - [**Anomaly detection**](api_reference/anomaly_detection), where the goal is to find
   values or areas of a single time series that are not representative of the whole series.
+- [**Forecasting**](api_reference/forecasting), where the goal is to predict future values
+  of a single time series
+  ([more details](examples/forecasting/forecasting.ipynb)).
 - [**Segmentation**](api_reference/segmentation), where the goal is to split a single time
   series into regions where the series are sofind areas of a time series that are not
   representative of the whole series
@@ -37,8 +40,8 @@ classical techniques for the following learning tasks:
   transformed into a different representation or domain. ([more details](examples/transformations/transformations.ipynb)).
 - [**Distances**](api_reference/distances), which measure the dissimilarity between two time series or
   collections of series and include functions to align series ([more details](examples/distances/distances.ipynb)).
-- [**Networks**](api_reference/networks), provides core models for deep learning for all time series tasks ([more
-  details](examples/networks/deep_learning.ipynb)).
+- [**Networks**](api_reference/networks), provides core models for deep learning for all time series tasks
+- ([more details](examples/networks/deep_learning.ipynb)).
 
 There are dedicated notebooks going into more detail for each of these modules. This
 guide is meant to give you the briefest of introductions to the main concepts and
@@ -99,9 +102,9 @@ structures, see our [datasets](examples/datasets/datasets.ipynb) notebooks.
 ## Single Series Modules
 
 Different `aeon` modules work with individual series or collections of series.
-Estimators in the `anomaly detection` and `segmentation` modules use single
-series input (they inherit from `BaseSeriesEstimator`). The functions in `distances`
-take two series as arguments.
+Estimators in the `anomaly detection`, `forecasting` and `segmentation` modules use
+single series input (they inherit from `BaseSeriesEstimator`). The functions in
+`distances` take two series as arguments.
 
 ### Anomaly Detection
 
diff --git a/docs/index.md b/docs/index.md
index a1b8f0cba7..83fc6bb049 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -110,6 +110,25 @@ Anomaly Detection
 
 :::
 
+:::{grid-item-card}
+:img-top: examples/forecasting/img/forecasting.png
+:class-img-top: aeon-card-image
+:text-align: center
+
+Get started with forecasting
+
++++
+
+```{button-ref} /examples/forecasting/forecasting.ipynb
+:color: primary
+:click-parent:
+:expand:
+
+Forecasting
+```
+
+:::
+
 :::{grid-item-card}
 :img-top: examples/segmentation/img/segmentation.png
 :class-img-top: aeon-card-image
@@ -253,6 +272,7 @@ is relaxed, so it is suggested that you integrate these modules with care. The c
 experimental modules are:
 
 - `anomaly_detection`
+- `forecasting`
 - `segmentation`
 - `similarity_search`
 - `visualisation`
diff --git a/examples/forecasting/forecasting.ipynb b/examples/forecasting/forecasting.ipynb
index e17b6667dc..0e0b4ac72f 100644
--- a/examples/forecasting/forecasting.ipynb
+++ b/examples/forecasting/forecasting.ipynb
@@ -109,7 +109,7 @@
   {
    "cell_type": "code",
    "source": [
-    "from aeon.utils import SERIES_DATA_TYPES\n",
+    "from aeon.utils.data_types import SERIES_DATA_TYPES\n",
     "\n",
     "print(\" Possible data structures for input to forecaster \", SERIES_DATA_TYPES)\n",
     "print(\"\\n Tags for BaseForecaster: \", BaseForecaster.get_class_tags())"
diff --git a/examples/forecasting/img/forecasting.png b/examples/forecasting/img/forecasting.png
new file mode 100644
index 0000000000..c9316dbe5a
Binary files /dev/null and b/examples/forecasting/img/forecasting.png differ