diff --git a/.github/workflows/code_checks.yml b/.github/workflows/code_checks.yml
index 1fe010f66..6c4a65a14 100644
--- a/.github/workflows/code_checks.yml
+++ b/.github/workflows/code_checks.yml
@@ -1,4 +1,7 @@
 name: code checks
+permissions:
+  contents: read
+  pull-requests: write
 
 on:
   push:
@@ -9,7 +12,7 @@ on:
       - .github/workflows/code_checks.yml
       - .github/workflows/integration_tests.yml
       - '**.py'
-      - poetry.lock
+      - uv.lock
       - pyproject.toml
       - '**.ipynb'
   pull_request:
@@ -19,7 +22,7 @@ on:
       - .pre-commit-config.yaml
       - .github/workflows/code_checks.yml
       - '**.py'
-      - poetry.lock
+      - uv.lock
       - pyproject.toml
       - '**.ipynb'
 
@@ -28,20 +31,21 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v4.2.2
-      - name: Install and configure Poetry
-        uses: snok/install-poetry@v1
+      - name: Install uv
+        uses: astral-sh/setup-uv@4db96194c378173c656ce18a155ffc14a9fc4355
         with:
-          virtualenvs-create: true
-          virtualenvs-in-project: true
-      - uses: actions/setup-python@v5.5.0
+          # Install a specific version of uv.
+          version: "0.7.20"
+          enable-cache: true
+      - name: "Set up Python"
+        uses: actions/setup-python@42375524e23c412d93fb67b49958b491fce71c38
         with:
-          python-version: '3.10'
-          cache: 'poetry'
+          python-version-file: ".python-version"
+      - name: Install the project
+        run: uv sync --dev --all-extras
       - name: Install dependencies and check code
         run: |
-          poetry env use '3.10'
           source .venv/bin/activate
-          poetry install --with test --all-extras
           pre-commit run --all-files
       - name: pip-audit (gh-action-pip-audit)
         uses: pypa/gh-action-pip-audit@v1.1.0
diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index aed2667f6..030d5558f 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -1,4 +1,7 @@
 name: docs
+permissions:
+  contents: read
+  pull-requests: write
 
 on:
   pull_request:
@@ -14,22 +17,27 @@ jobs:
           submodules: 'true'
           fetch-depth: 0
 
-      - name: Install poetry
-        run: python3 -m pip install --upgrade pip && python3 -m pip install poetry
-
-      - uses: actions/setup-python@v5.5.0
+      - name: Install uv
+        uses: astral-sh/setup-uv@4db96194c378173c656ce18a155ffc14a9fc4355
         with:
-          python-version: '3.10'
-          cache: 'poetry'
+          # Install a specific version of uv.
+          version: "0.7.20"
+          enable-cache: true
 
-      - name: Install dependencies
+      - name: "Set up Python"
+        uses: actions/setup-python@42375524e23c412d93fb67b49958b491fce71c38
+        with:
+          python-version-file: ".python-version"
+      - name: Install the project
+        run: uv sync --dev --group docs
+      - name: Install dependencies and check code
         run: |
-          poetry env use '3.10'
-          poetry install --with docs,test --all-extras
+          source .venv/bin/activate
+          pre-commit run --all-files
 
       - name: Build docs
         run: |
-          source $(poetry env info --path)/bin/activate
+          source .venv/bin/activate
           cd docs
           rm -rf source/reference/api/_autosummary
           if [[ "${{ github.event_name == 'pull_request' && github.event.pull_request.merged == true && contains(github.event.pull_request.labels.*.name, 'release') }}" == "true" ]]; then
diff --git a/.github/workflows/integration_tests.yml b/.github/workflows/integration_tests.yml
index 311165507..dd5fe7bcd 100644
--- a/.github/workflows/integration_tests.yml
+++ b/.github/workflows/integration_tests.yml
@@ -13,7 +13,7 @@ on:
       - '**.html'
       - '**.jinja'
       - '**.js'
-      - poetry.lock
+      - uv.lock
       - pyproject.toml
       - '**.rst'
       - '**.md'
@@ -30,7 +30,7 @@ on:
       - '**.html'
       - '**.jinja'
       - '**.js'
-      - poetry.lock
+      - uv.lock
       - pyproject.toml
       - '**.rst'
       - '**.md'
@@ -41,20 +41,23 @@ jobs:
     runs-on: [self-hosted, gpu, db, cyclops]
     steps:
       - uses: actions/checkout@v4.2.2
-      - name: Install poetry
-        run: python3 -m pip install --upgrade pip && python3 -m pip install poetry
-      - uses: actions/setup-python@v5.5.0
+      - name: Install uv
+        uses: astral-sh/setup-uv@4db96194c378173c656ce18a155ffc14a9fc4355
         with:
-          python-version: '3.10'
-          cache: 'poetry'
-      - name: Install dependencies and check code
+          # Install a specific version of uv.
+          version: "0.7.20"
+          enable-cache: true
+      - name: "Set up Python"
+        uses: actions/setup-python@42375524e23c412d93fb67b49958b491fce71c38
+        with:
+          python-version-file: ".python-version"
+      - name: Install project and check code
         run: |
           export PATH=/opt/openmpi-4.1.5/bin:$PATH
           export LD_LIBRARY_PATH=/opt/openmpi-4.1.5/lib:$LD_LIBRARY_PATH
           ompi_info
-          poetry env use '3.10'
-          source $(poetry env info --path)/bin/activate
-          env MPICC=/opt/openmpi-4.1.5/bin/mpicc poetry install --with dev,test --all-extras
+          env MPICC=/opt/openmpi-4.1.5/bin/mpicc uv sync --all-extras --dev --group test
+          source .venv/bin/activate
           mpirun -n 2 python -m pytest --only-mpi
           pytest -m integration_test --cov-report term --cov-report xml:./coverage.xml --cov=cyclops -n auto --dist loadscope
       - name: Upload coverage to Codecov
diff --git a/.github/workflows/package.yml b/.github/workflows/package.yml
index f3309bbf0..a933b0e1b 100644
--- a/.github/workflows/package.yml
+++ b/.github/workflows/package.yml
@@ -29,9 +29,10 @@ jobs:
       - uses: actions/checkout@v4.2.2
       - name: Install pip
         run: python3 -m pip install --upgrade pip
-      - uses: actions/setup-python@v5.5.0
+      - name: "Set up Python"
+        uses: actions/setup-python@42375524e23c412d93fb67b49958b491fce71c38
         with:
-          python-version: '3.10'
+          python-version-file: ".python-version"
       - name: Install package and test import
         run: |
           pip install -e .
diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml
index 046c4e798..4efd5b557 100644
--- a/.github/workflows/publish.yml
+++ b/.github/workflows/publish.yml
@@ -1,4 +1,7 @@
 name: publish package
+permissions:
+  contents: read
+  pull-requests: write
 
 on:
   release:
@@ -13,13 +16,25 @@ jobs:
           sudo apt-get update
           sudo apt-get install libcurl4-openssl-dev libssl-dev
       - uses: actions/checkout@v4.2.2
-      - name: Install poetry
-        run: python3 -m pip install --upgrade pip && python3 -m pip install poetry
-      - uses: actions/setup-python@v5.5.0
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@4db96194c378173c656ce18a155ffc14a9fc4355
+        with:
+          # Install a specific version of uv.
+          version: "0.7.20"
+          enable-cache: true
+
+      - name: "Set up Python"
+        uses: actions/setup-python@42375524e23c412d93fb67b49958b491fce71c38
         with:
-          python-version: '3.10'
+          python-version-file: ".python-version"
+
+      - name: Install the project
+        run: uv sync --all-extras
+
       - name: Build package
-        run: poetry build
+        run: uv build
+
       - name: Publish package
         uses: pypa/gh-action-pypi-publish@76f52bc884231f62b9a034ebfe128415bbaabdfc
         with:
diff --git a/.github/workflows/unit_tests.yml b/.github/workflows/unit_tests.yml
index a6463f41b..9caaa9957 100644
--- a/.github/workflows/unit_tests.yml
+++ b/.github/workflows/unit_tests.yml
@@ -11,7 +11,7 @@ on:
       - '**.html'
       - '**.jinja'
       - '**.js'
-      - poetry.lock
+      - uv.lock
       - pyproject.toml
   pull_request:
     branches:
@@ -23,7 +23,7 @@ on:
       - '**.html'
       - '**.jinja'
       - '**.js'
-      - poetry.lock
+      - uv.lock
       - pyproject.toml
 
 jobs:
@@ -31,17 +31,20 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v4.2.2
-      - name: Install dependencies, run unit tests and coverage report
-        run: python3 -m pip install --upgrade pip && python3 -m pip install poetry
-      - uses: actions/setup-python@v5.5.0
+      - name: Install uv
+        uses: astral-sh/setup-uv@4db96194c378173c656ce18a155ffc14a9fc4355
         with:
-          python-version: '3.10'
-          cache: 'poetry'
+          # Install a specific version of uv.
+          version: "0.7.20"
+          enable-cache: true
+      - name: "Set up Python"
+        uses: actions/setup-python@42375524e23c412d93fb67b49958b491fce71c38
+        with:
+          python-version-file: ".python-version"
+      - name: Install the project
+        run: uv sync --dev
       - run: |
-          python3 -m pip install --upgrade pip && python3 -m pip install poetry
-          poetry env use '3.10'
-          source $(poetry env info --path)/bin/activate
-          poetry install --with test --all-extras
+          source .venv/bin/activate
           pytest -m "not integration_test" --cov-report term --cov-report xml:./coverage.xml --cov=cyclops -n auto --dist loadscope
       - name: Upload coverage to Codecov
         uses: Wandalen/wretry.action@v3.8.0
diff --git a/.gitignore b/.gitignore
index 621aa0401..701e2db4c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,7 +1,6 @@
 *__pycache__*
 *.log
 docs/build
-.python-version
 *.DS_Store
 htmlcov
 .coverage
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 2660a30e2..6b25c318a 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -55,14 +55,14 @@ repos:
       files: "^cyclops/"
       language: system
 
-  - repo: local
-    hooks:
-    - id: pytest
-      name: pytest
-      entry: python3 -m pytest -m "not integration_test" -n auto --dist loadscope
-      language: system
-      pass_filenames: false
-      always_run: true
+  # - repo: local
+  #   hooks:
+  #   - id: pytest
+  #     name: pytest
+  #     entry: python3 -m pytest -m "not integration_test" -n auto --dist loadscope
+  #     language: system
+  #     pass_filenames: false
+  #     always_run: true
 
 ci:
     autofix_commit_msg: |
@@ -73,5 +73,5 @@ ci:
     autoupdate_branch: ''
     autoupdate_commit_msg: '[pre-commit.ci] pre-commit autoupdate'
     autoupdate_schedule: weekly
-    skip: [pytest,doctest,nbstripout,mypy]
+    skip: [doctest,nbstripout,mypy]
     submodules: false
diff --git a/.python-version b/.python-version
new file mode 100644
index 000000000..2c0733315
--- /dev/null
+++ b/.python-version
@@ -0,0 +1 @@
+3.11
diff --git a/README.md b/README.md
index be18f5327..f52c5db2c 100644
--- a/README.md
+++ b/README.md
@@ -53,29 +53,29 @@ below.
 
 ## 🧑🏿‍💻 Developing
 
-### Using poetry
+### Using uv
 
 The development environment can be set up using
-[poetry](https://python-poetry.org/docs/#installation). Hence, make sure it is
+[uv](https://github.com/astral-sh/uv?tab=readme-ov-file#installation). Hence, make sure it is
 installed and then run:
 
 ```bash
-python3 -m poetry install
-source $(poetry env info --path)/bin/activate
+uv sync
+source .venv/bin/activate
 ```
 
 In order to install dependencies for testing (codestyle, unit tests, integration tests),
 run:
 
 ```bash
-python3 -m poetry install --with test
+uv sync --group test
 ```
 
 API documentation is built using [Sphinx](https://www.sphinx-doc.org/en/master/) and
 can be locally built by:
 
 ```bash
-python3 -m poetry install --with docs
+uv sync --group docs
 cd docs
 make html SPHINXOPTS="-D nbsphinx_allow_errors=True"
 ```
@@ -89,7 +89,7 @@ guidelines.
 
 ## 📚 [Documentation](https://vectorinstitute.github.io/cyclops/)
 
-If you need to build the documentations locally, make sure to install ``Pandoc`` in addition to ``docs`` poetry group.
+If you need to build the documentations locally, make sure to install ``Pandoc`` in addition to ``docs`` dependency group.
 
 
 ## 📓 Notebooks
diff --git a/cyclops/data/aggregate.py b/cyclops/data/aggregate.py
index 1b2591007..950be4778 100644
--- a/cyclops/data/aggregate.py
+++ b/cyclops/data/aggregate.py
@@ -761,4 +761,4 @@ def timestamp_ffill_agg(
     if fill_nan is not None:
         arr = np.nan_to_num(arr, nan=fill_nan)
 
-    return arr
+    return arr  # type: ignore[no-any-return]
diff --git a/cyclops/data/utils.py b/cyclops/data/utils.py
index 24be87588..30d0d6661 100644
--- a/cyclops/data/utils.py
+++ b/cyclops/data/utils.py
@@ -13,7 +13,7 @@
 )
 
 import pandas as pd
-import PIL
+import PIL.Image
 import psutil
 from datasets import Dataset, DatasetDict
 from datasets.features import (
diff --git a/cyclops/evaluate/metrics/experimental/distributed_backends/torch_distributed.py b/cyclops/evaluate/metrics/experimental/distributed_backends/torch_distributed.py
index 7799ca8c2..54285cb2d 100644
--- a/cyclops/evaluate/metrics/experimental/distributed_backends/torch_distributed.py
+++ b/cyclops/evaluate/metrics/experimental/distributed_backends/torch_distributed.py
@@ -53,7 +53,7 @@ def world_size(self) -> int:
     def _simple_all_gather(self, data: Tensor) -> List[Tensor]:
         """Gather tensors of the same shape from all processes."""
         gathered_data = [torch.zeros_like(data) for _ in range(self.world_size)]
-        torch_dist.all_gather(gathered_data, data)  # type: ignore[no-untyped-call]
+        torch_dist.all_gather(gathered_data, data)
         return gathered_data
 
     def all_gather(self, data: Tensor) -> List[Tensor]:  # type: ignore[override]
@@ -77,7 +77,7 @@ def all_gather(self, data: Tensor) -> List[Tensor]:  # type: ignore[override]
         # gather sizes of all tensors
         local_size = torch.tensor(data.shape, device=data.device)
         local_sizes = [torch.zeros_like(local_size) for _ in range(self.world_size)]
-        torch_dist.all_gather(local_sizes, local_size)  # type: ignore[no-untyped-call]
+        torch_dist.all_gather(local_sizes, local_size)
         max_size = torch.stack(local_sizes).max(dim=0).values
         all_sizes_equal = all(all(ls == max_size) for ls in local_sizes)
 
@@ -93,7 +93,7 @@ def all_gather(self, data: Tensor) -> List[Tensor]:  # type: ignore[override]
             pad_dims.append(val.item())
         data_padded = torch.nn.functional.pad(data, pad_dims)
         gathered_data = [torch.zeros_like(data_padded) for _ in range(self.world_size)]
-        torch_dist.all_gather(gathered_data, data_padded)  # type: ignore[no-untyped-call]
+        torch_dist.all_gather(gathered_data, data_padded)
         for idx, item_size in enumerate(local_sizes):
             slice_param = [slice(dim_size) for dim_size in item_size]
             gathered_data[idx] = gathered_data[idx][slice_param]
diff --git a/cyclops/evaluate/metrics/experimental/functional/auroc.py b/cyclops/evaluate/metrics/experimental/functional/auroc.py
index 9947ddb14..57dc64d81 100644
--- a/cyclops/evaluate/metrics/experimental/functional/auroc.py
+++ b/cyclops/evaluate/metrics/experimental/functional/auroc.py
@@ -234,7 +234,7 @@ def _reduce_auroc(
 
     """
     if apc.is_array_api_obj(fpr) and apc.is_array_api_obj(tpr):
-        res = _auc_compute(fpr, tpr, 1.0, axis=1)  # type: ignore
+        res = _auc_compute(fpr, tpr, 1.0, axis=1)
     else:
         res = xp.stack(
             [_auc_compute(x, y, 1.0) for x, y in zip(fpr, tpr)],  # type: ignore
diff --git a/cyclops/evaluate/metrics/experimental/functional/average_precision.py b/cyclops/evaluate/metrics/experimental/functional/average_precision.py
index 24c2b26b4..46b19e238 100644
--- a/cyclops/evaluate/metrics/experimental/functional/average_precision.py
+++ b/cyclops/evaluate/metrics/experimental/functional/average_precision.py
@@ -229,7 +229,7 @@ def _reduce_average_precision(
     """
     if apc.is_array_api_obj(precision) and apc.is_array_api_obj(recall):
         avg_prec = -xp.sum(
-            (recall[:, 1:] - recall[:, :-1]) * precision[:, :-1],  # type: ignore
+            (recall[:, 1:] - recall[:, :-1]) * precision[:, :-1],
             axis=1,
             dtype=xp.float32,
         )
diff --git a/cyclops/evaluate/metrics/experimental/functional/precision_recall_curve.py b/cyclops/evaluate/metrics/experimental/functional/precision_recall_curve.py
index 99c3b75e9..9004bacc2 100644
--- a/cyclops/evaluate/metrics/experimental/functional/precision_recall_curve.py
+++ b/cyclops/evaluate/metrics/experimental/functional/precision_recall_curve.py
@@ -65,15 +65,15 @@ def _validate_thresholds(thresholds: Optional[Union[int, List[float], Array]]) -
 
     if apc.is_array_api_obj(thresholds):
         xp = apc.array_namespace(thresholds)
-        if not xp.all((thresholds >= 0) & (thresholds <= 1)):  # type: ignore
+        if not xp.all((thresholds >= 0) & (thresholds <= 1)):
             raise ValueError(
                 "Expected argument `thresholds` to be an Array of floats in the [0,1] "
                 f"range, but got {thresholds}",
             )
-        if not thresholds.ndim == 1:  # type: ignore
+        if not thresholds.ndim == 1:
             raise ValueError(
                 "Expected argument `thresholds` to be a 1D Array, but got an Array with "
-                f"{thresholds.ndim} dimensions",  # type: ignore
+                f"{thresholds.ndim} dimensions",
             )
 
 
@@ -284,9 +284,9 @@ def _binary_precision_recall_curve_compute(
     """Compute the precision and recall for all unique thresholds."""
     if apc.is_array_api_obj(state) and thresholds is not None:
         xp = apc.array_namespace(state, thresholds)
-        tps = state[:, 1, 1]  # type: ignore[call-overload]
-        fps = state[:, 0, 1]  # type: ignore[call-overload]
-        fns = state[:, 1, 0]  # type: ignore[call-overload]
+        tps = state[:, 1, 1]
+        fps = state[:, 0, 1]
+        fns = state[:, 1, 0]
         precision = safe_divide(tps, tps + fps)
         recall = safe_divide(tps, tps + fns)
         precision = xp.concat(
@@ -322,8 +322,8 @@ def _binary_precision_recall_curve_compute(
     )
     thresholds = xp.flip(thresholds, axis=0)
     if hasattr(thresholds, "detach"):
-        thresholds = clone(thresholds.detach())  # type: ignore
-    return precision, recall, thresholds  # type: ignore[return-value]
+        thresholds = clone(thresholds.detach())
+    return precision, recall, thresholds
 
 
 def binary_precision_recall_curve(
@@ -541,7 +541,7 @@ def _multiclass_precision_recall_curve_validate_arrays(
             f"values in `target` but found {num_unique_values} values.",
         )
 
-    return xp  # type: ignore[no-any-return]
+    return xp
 
 
 def _multiclass_precision_recall_curve_format_arrays(
@@ -618,9 +618,9 @@ def _multiclass_precision_recall_curve_compute(
 
     if apc.is_array_api_obj(state) and thresholds is not None:
         xp = apc.array_namespace(state, thresholds)
-        tps = state[:, :, 1, 1]  # type: ignore[call-overload]
-        fps = state[:, :, 0, 1]  # type: ignore[call-overload]
-        fns = state[:, :, 1, 0]  # type: ignore[call-overload]
+        tps = state[:, :, 1, 1]
+        fps = state[:, :, 0, 1]
+        fns = state[:, :, 1, 0]
         precision = safe_divide(tps, tps + fps)
         recall = safe_divide(tps, tps + fns)
         precision = xp.concat(
@@ -989,9 +989,9 @@ def _multilabel_precision_recall_curve_compute(
     """Compute the precision and recall for all unique thresholds."""
     if apc.is_array_api_obj(state) and thresholds is not None:
         xp = apc.array_namespace(state)
-        tps = state[:, :, 1, 1]  # type: ignore[call-overload]
-        fps = state[:, :, 0, 1]  # type: ignore[call-overload]
-        fns = state[:, :, 1, 0]  # type: ignore[call-overload]
+        tps = state[:, :, 1, 1]
+        fps = state[:, :, 0, 1]
+        fns = state[:, :, 1, 0]
         precision = safe_divide(tps, tps + fps)
         recall = safe_divide(tps, tps + fns)
         precision = xp.concat(
diff --git a/cyclops/evaluate/metrics/experimental/functional/roc.py b/cyclops/evaluate/metrics/experimental/functional/roc.py
index 6324b08d6..86c49b6e1 100644
--- a/cyclops/evaluate/metrics/experimental/functional/roc.py
+++ b/cyclops/evaluate/metrics/experimental/functional/roc.py
@@ -45,10 +45,10 @@ def _binary_roc_compute(
     """Compute the binary ROC curve."""
     if apc.is_array_api_obj(state) and thresholds is not None:
         xp = apc.array_namespace(state, thresholds)
-        tps = state[:, 1, 1]  # type: ignore[call-overload]
-        fps = state[:, 0, 1]  # type: ignore[call-overload]
-        fns = state[:, 1, 0]  # type: ignore[call-overload]
-        tns = state[:, 0, 0]  # type: ignore[call-overload]
+        tps = state[:, 1, 1]
+        fps = state[:, 0, 1]
+        fns = state[:, 1, 0]
+        tns = state[:, 0, 0]
         tpr = xp.flip(safe_divide(tps, tps + fns), axis=0)
         fpr = xp.flip(safe_divide(fps, fps + tns), axis=0)
         thresh = xp.flip(thresholds, axis=0)
@@ -230,10 +230,10 @@ def _multiclass_roc_compute(
 
     if apc.is_array_api_obj(state) and thresholds is not None:
         xp = apc.array_namespace(state, thresholds)
-        tps = state[:, :, 1, 1]  # type: ignore[call-overload]
-        fps = state[:, :, 0, 1]  # type: ignore[call-overload]
-        fns = state[:, :, 1, 0]  # type: ignore[call-overload]
-        tns = state[:, :, 0, 0]  # type: ignore[call-overload]
+        tps = state[:, :, 1, 1]
+        fps = state[:, :, 0, 1]
+        fns = state[:, :, 1, 0]
+        tns = state[:, :, 0, 0]
         tpr = xp.flip(safe_divide(tps, tps + fns), axis=0).T
         fpr = xp.flip(safe_divide(fps, fps + tns), axis=0).T
         thresh = xp.flip(thresholds, axis=0)
@@ -473,10 +473,10 @@ def _multilabel_roc_compute(
     """Compute the multilabel ROC curve."""
     if apc.is_array_api_obj(state) and thresholds is not None:
         xp = apc.array_namespace(state)
-        tps = state[:, :, 1, 1]  # type: ignore[call-overload]
-        fps = state[:, :, 0, 1]  # type: ignore[call-overload]
-        fns = state[:, :, 1, 0]  # type: ignore[call-overload]
-        tns = state[:, :, 0, 0]  # type: ignore[call-overload]
+        tps = state[:, :, 1, 1]
+        fps = state[:, :, 0, 1]
+        fns = state[:, :, 1, 0]
+        tns = state[:, :, 0, 0]
         tpr = xp.flip(safe_divide(tps, tps + fns), axis=0).T
         fpr = xp.flip(safe_divide(fps, fps + tns), axis=0).T
         thresh = xp.flip(thresholds, axis=0)
diff --git a/cyclops/evaluate/metrics/experimental/metric.py b/cyclops/evaluate/metrics/experimental/metric.py
index ea1ef398b..a2543ce07 100644
--- a/cyclops/evaluate/metrics/experimental/metric.py
+++ b/cyclops/evaluate/metrics/experimental/metric.py
@@ -414,7 +414,7 @@ def reset(self) -> None:
                 setattr(
                     self,
                     state_name,
-                    apc.to_device(clone(default_value), self.device),  # type: ignore[arg-type]
+                    apc.to_device(clone(default_value), self.device),
                 )
             elif isinstance(default_value, list):
                 setattr(
diff --git a/cyclops/evaluate/metrics/experimental/utils/ops.py b/cyclops/evaluate/metrics/experimental/utils/ops.py
index 56709be0a..6e36dcbc3 100644
--- a/cyclops/evaluate/metrics/experimental/utils/ops.py
+++ b/cyclops/evaluate/metrics/experimental/utils/ops.py
@@ -681,7 +681,7 @@ def _adjust_weight_apply_average(
             weights[tp + fp + fn == 0] = 0.0
 
     weights = xp.astype(weights, xp.float32, copy=False)
-    return xp.sum(  # type: ignore[no-any-return]
+    return xp.sum(
         safe_divide(
             weights * score,
             xp.sum(weights, axis=-1, dtype=score.dtype, keepdims=True),
diff --git a/cyclops/evaluate/metrics/functional/precision_recall_curve.py b/cyclops/evaluate/metrics/functional/precision_recall_curve.py
index c982a5423..d187f8049 100644
--- a/cyclops/evaluate/metrics/functional/precision_recall_curve.py
+++ b/cyclops/evaluate/metrics/functional/precision_recall_curve.py
@@ -277,7 +277,7 @@ def _binary_precision_recall_curve_compute(
 
         precision = np.hstack((precision[sliced], 1))
         recall = np.hstack((recall[sliced], 0))
-        thresholds = thresholds[sliced]  # type: ignore[index]
+        thresholds = thresholds[sliced]
 
     return precision, recall, thresholds
 
diff --git a/cyclops/evaluate/metrics/functional/roc.py b/cyclops/evaluate/metrics/functional/roc.py
index fd496fb6c..5427633c8 100644
--- a/cyclops/evaluate/metrics/functional/roc.py
+++ b/cyclops/evaluate/metrics/functional/roc.py
@@ -125,7 +125,7 @@ def _binary_roc_compute(
         # start the curve at (0, 0)
         fps = np.hstack((0, fps))
         tps = np.hstack((0, tps))
-        thresholds = np.hstack((1, thresholds))  # type: ignore[arg-type]
+        thresholds = np.hstack((1, thresholds))
 
         if fps[-1] <= 0:
             LOGGER.warning(
diff --git a/cyclops/evaluate/metrics/metric.py b/cyclops/evaluate/metrics/metric.py
index 4d03d9f56..dd24d6c38 100644
--- a/cyclops/evaluate/metrics/metric.py
+++ b/cyclops/evaluate/metrics/metric.py
@@ -682,7 +682,10 @@ def add_metrics(  # noqa: C901, PLR0912
             metrics = list(metrics)
             extras: List[Any] = []
             for metric in other_metrics:
-                (metrics if isinstance(metric, Metric) else extras).append(metric)
+                if isinstance(metric, Metric):
+                    metrics.append(metric)
+                else:
+                    extras.append(metric)
 
             if extras:
                 LOGGER.warning(
diff --git a/docs/source/tutorials/nihcxr/generate_nihcxr_report.py b/docs/source/tutorials/nihcxr/generate_nihcxr_report.py
index 7d0f13bc1..bc61e8436 100644
--- a/docs/source/tutorials/nihcxr/generate_nihcxr_report.py
+++ b/docs/source/tutorials/nihcxr/generate_nihcxr_report.py
@@ -71,7 +71,7 @@
 )
 
 # remove any rows with No Finding == 1
-nih_ds = nih_ds.filter(
+nih_ds = nih_ds.filter(  # type: ignore[union-attr]
     partial(filter_value, column_name="No Finding", value=1, negate=True),
     batched=True,
 )
diff --git a/pyproject.toml b/pyproject.toml
index 58e24091a..1e7f807b3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,174 +1,133 @@
-[tool.poetry]
+[project]
 name = "pycyclops"
 version = "0.2.12"
 description = "Framework for healthcare ML implementation"
-authors = ["Vector AI Engineering <cyclops@vectorinstitute.ai>"]
+readme = "README.md"
+authors = [{name = "Vector AI Engineering", email = "cyclops@vectorinstitute.ai"}]
 license = "Apache-2.0"
 repository = "https://github.com/VectorInstitute/cyclops"
-documentation = "https://vectorinstitute.github.io/cyclops/"
-packages = [
-    { include = "cyclops" },
+requires-python = ">=3.9,<3.12"
+dependencies = [
+    "numpy>=1.24.0,<2.0.0",
+    "scikit-learn>=1.3.0,<2.0.0",
+    "scipy>=1.11.0,<2.0.0",
+    "matplotlib>=3.8.3,<4.0.0",
+    "datasets>=2.15.0,<3.0.0",
+    "psutil>=5.9.4,<6.0.0",
+    "pyarrow>=17.0.0,<18.0.0",
+    "pydantic>=1.10.11,<2.0.0",
+    "Jinja2>=3.1.3,<4.0.0",
+    "spdx-tools>=0.8.1,<0.9.0",
+    "pybtex>=0.24.0,<0.25.0",
+    "kaleido==0.2.1",
+    "scour>=0.38.2,<0.39.0",
+    "plotly>=5.7.0,<6.0.0",
+    "pillow>=10.0.0,<11.0.0",
+    "array-api-compat>=1.11.2",
+    "hydra-core>=1.2.0,<2.0.0"
 ]
-readme = "README.md"
-
-[tool.poetry.dependencies]
-python = ">=3.9, <3.12"
-pandas = {version = "^2.1", extras = ["performance"]}
-numpy = "^1.24.0"
-scikit-learn = "^1.3.0"
-scipy = "^1.11.0"
-matplotlib = "^3.8.3"
-datasets = "^2.15.0"
-psutil = "^5.9.4"
-pyarrow = "^17.0.0"
-pydantic = "^1.10.11"
-Jinja2 = "^3.1.3"
-spdx-tools = "^0.8.1"
-pybtex = "^0.24.0"
-kaleido = "0.2.1"
-scour = "^0.38.2"
-plotly = "^5.7.0"
-pillow = "^10.0.0"
-array-api-compat = "1.6"
-hydra-core = "^1.2.0"
-
-# Optional dependencies
-monai = { version = "^1.3.0", extras = ["itk"], optional = true }
-torch = { version = "^1.11.0", optional = true }
-torchvision = { version = "^0.14.0", optional = true }
-torchxrayvision = { version = "^1.2.0", optional = true }
-xgboost = { version = "^1.5.2", optional = true }
-alibi = { version = "^0.9.4", optional = true, extras = ["shap"] }
-alibi-detect = { version = "^0.12.0", optional = true, extras = ["torch"] }
-llvmlite = { version = "^0.40.0", optional = true }
-
-[tool.poetry.group.xgboost]
-optional = true
-
-[tool.poetry.group.xgboost.dependencies]
-xgboost = "^1.5.2"
-
-[tool.poetry.group.torch]
-optional = true
-
-[tool.poetry.group.torch.dependencies]
-torch = "^1.11.0"
-
-[tool.poetry.group.torchvision]
-optional = true
-
-[tool.poetry.group.torchvision.dependencies]
-torchvision = "^0.14.0"
-
-[tool.poetry.group.torchxrayvision]
-optional = true
-
-[tool.poetry.group.torchxrayvision.dependencies]
-torch = "^1.11.0"
-torchxrayvision = "^1.2.0"
-
-[tool.poetry.group.monai]
-optional = true
-
-[tool.poetry.group.monai.dependencies]
-torch = "^1.11.0"
-monai = "^1.1.0"
-
-[tool.poetry.group.alibi]
-optional = true
 
-[tool.poetry.group.alibi.dependencies]
-llvmlite = "^0.40.0"
-alibi = "^0.9.4"
-
-[tool.poetry.group.alibi-detect]
-optional = true
-
-[tool.poetry.group.alibi-detect.dependencies]
-llvmlite = "^0.40.0"
-torch = "^1.11.0"
-alibi-detect = { version = "^0.12.0", extras = ["torch"] }
-
-[tool.poetry.group.test]
-optional = true
+[project.optional-dependencies]
+performance = ["pandas>=2.1,<3.0"]
+monai = ["torch>=2.0.0,<3.0.0", "monai>=1.3.0,<2.0.0"]
+torch = ["torch>=2.0.0,<3.0.0"]
+torchvision = ["torchvision>=0.15.0,<2.0.0"]
+torchxrayvision = ["torch>=2.0.0,<3.0.0", "torchxrayvision>=1.2.0,<2.0.0"]
+xgboost = ["xgboost>=1.5.2,<2.0.0"]
+alibi = ["llvmlite>=0.40.0,<0.41.0", "alibi>=0.9.4,<0.10.0"]
+alibi-detect = ["torch>=2.0.0,<3.0.0", "llvmlite>=0.40.0,<0.41.0", "alibi-detect>=0.12.0,<0.13.0"]
+itk = ["monai>=1.3.0,<2.0.0"]
+shap = ["alibi>=0.9.4,<0.10.0"]
+all = [
+    "torch>=2.0.0,<3.0.0",
+    "torchvision>=0.15.0,<2.0.0",
+    "torchxrayvision>=1.2.0,<2.0.0",
+    "llvmlite>=0.40.0,<0.41.0",
+    "monai>=1.3.0,<2.0.0",
+    "xgboost>=1.5.2,<2.0.0",
+    "alibi>=0.9.4,<0.10.0",
+    "alibi-detect>=0.12.0,<0.13.0"
+]
 
-[tool.poetry.group.test.dependencies]
-pytest = "^7.1.1"
-pre-commit = "^4.0.0"
-pytest-cov = "^3.0.0"
-codecov = "^2.1.13"
-nbstripout = "^0.6.1"
-mypy = "^1.7.0"
-ruff = "^0.4.0"
-nbqa = { version = "^1.7.0", extras = ["toolchain"] }
-pip-audit = "^2.7.1"
-cycquery = "^0.1.2" # used for integration test
-torchmetrics = {version = "^1.2.0", extras = ["classification", "regression"]}
-pytest-mpi = "^0.6"
-pytest-xdist = {extras = ["psutil"], version = "^3.5.0"}
+[dependency-groups]
+dev = [
+    "pytest>=7.1.1,<8.0.0",
+    "pre-commit>=4.0.0,<5.0.0",
+    "pytest-cov>=3.0.0,<4.0.0",
+    "pytest-xdist>=3.5.0,<4.0.0",
+    "codecov>=2.1.13,<3.0.0",
+    "nbstripout>=0.6.1,<0.7.0",
+    "mypy>=1.7.0,<2.0.0",
+    "ruff>=0.4.0,<0.5.0",
+    "pip-audit>=2.7.1,<3.0.0",
+    "cycquery>=0.1.2,<0.2.0",
+    "pytest-mpi>=0.6,<0.7",
+    "torchmetrics>=1.2.0,<2.0.0"
+]
 
-[tool.poetry.group.docs]
-optional = true
+toolchain = [
+    "nbqa>=1.7.0,<2.0.0"
+]
 
-[tool.poetry.group.docs.dependencies]
-numpydoc = "^1.2"
-sphinx = "^7.2.5"
-sphinxcontrib-apidoc = "^0.4.0"
-sphinx-autodoc-typehints = "^1.24.0"
-myst-parser = "^2.0.0"
-sphinx-design = "^0.5.0"
-sphinx-copybutton = "^0.5.0"
-sphinx-autoapi = "^2.0.0"
-nbsphinx = "^0.9.3"
-ipython = "^8.8.0"
-ipykernel = "^6.23.0"
-kaggle = "^1.5.13"
-imbalanced-learn = "^0.12.0"
-furo = "^2024.01.29"
+classification = [
+    "torchmetrics>=1.2.0,<2.0.0"
+]
 
-[tool.poetry.group.dev]
-optional = true
+psutil = []
+
+docs = [
+    "numpydoc>=1.2,<2.0",
+    "sphinx>=7.2.5,<8.0.0",
+    "sphinxcontrib-apidoc>=0.4.0,<0.5.0",
+    "sphinx-autodoc-typehints>=1.24.0,<2.0.0",
+    "myst-parser>=2.0.0,<3.0.0",
+    "sphinx-design>=0.5.0,<0.6.0",
+    "sphinx-copybutton>=0.5.0,<0.6.0",
+    "sphinx-autoapi>=2.0.0,<3.0.0",
+    "nbsphinx>=0.9.3,<0.10.0",
+    "ipython>=8.8.0,<9.0.0",
+    "ipykernel>=6.23.0,<7.0.0",
+    "kaggle>=1.5.13,<2.0.0",
+    "imbalanced-learn>=0.12.0,<0.13.0",
+    "furo>=2024.01.29"
+]
 
-[tool.poetry.group.dev.dependencies]
-cycquery = "^0.1.0"
-seaborn = "^0.11.2"
-jupyter = "^1.0.0"
-jupyterlab = "^3.4.2"
-ipympl = "^0.9.3"
-ipywidgets = "^8.0.6"
-torchmetrics = {version = "^1.2.0", extras = ["classification", "regression"]}
-cupy = "^13.3.0"
-mpi4py = {git = "https://github.com/mpi4py/mpi4py"}
-imbalanced-learn = "^0.12.0"
-pyperf = "^2.6.3"
+test = [
+    "cycquery>=0.1.0,<0.2.0",
+    "seaborn>=0.11.2,<0.12.0",
+    "jupyter>=1.0.0,<2.0.0",
+    "jupyterlab>=3.4.2,<4.0.0",
+    "ipympl>=0.9.3,<0.10.0",
+    "ipywidgets>=8.0.6,<9.0.0",
+    "cupy>=13.3.0,<14.0.0",
+    "mpi4py @ git+https://github.com/mpi4py/mpi4py",
+    "imbalanced-learn>=0.12.0,<0.13.0",
+    "pyperf>=2.6.3,<3.0.0"
+]
 
-[tool.poetry.group.deploy_models]
-optional = true
+deploy_models = [
+    "aiohttp>=3.9.2,<4.0.0",
+    "torchxrayvision>=1.2.1,<2.0.0",
+    "kaggle>=1.5.13,<2.0.0",
+    "onnx>=1.15.0,<2.0.0",
+    "skl2onnx>=1.16.0,<2.0.0"
+]
 
-[tool.poetry.group.deploy_models.dependencies]
-aiohttp = "^3.9.2"
-bentoml = { version = "1.4.8", extras = ["triton"] }
-torchxrayvision = "^1.2.1"
-kaggle = "^1.5.13"
-onnx = "^1.15.0"
-skl2onnx = "^1.16.0"
+triton = [
+    "bentoml>=1.2.5,<2.0.0"
+]
 
-[tool.poetry.group.deploy_report]
-optional = true
+deploy_report = [
+    "fastapi>=0.111.0,<0.112.0",
+    "uvicorn>=0.30.1,<0.31.0"
+]
 
-[tool.poetry.group.deploy_report.dependencies]
-fastapi = "^0.111.0"
-uvicorn = "^0.30.1"
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
 
-[tool.poetry.extras]
-torch = ["torch"]
-torchvision = ["torchvision"]
-torchxrayvision = ["torch", "torchxrayvision"]
-monai = ["torch", "monai"]
-xgboost = ["xgboost"]
-alibi = ["llvmlite", "alibi"]
-alibi-detect = ["torch", "llvmlite", "alibi-detect"]
-all = ["torch", "torchvision", "torchxrayvision", "llvmlite", "monai", "xgboost", "alibi", "alibi-detect"]
+[tool.hatch.build.targets.wheel]
+packages = ["cyclops"]
 
 [tool.mypy]
 plugins = ["numpy.typing.mypy_plugin"]
@@ -253,12 +212,9 @@ max-doc-length = 88
 markers = [
     "integration_test: marks tests as integration tests",
 ]
+addopts = "-xvs"
 
 [tool.coverage]
     [tool.coverage.run]
     source=["cyclops"]
     omit=["tests/*", "*__init__.py"]
-
-[build-system]
-requires = ["poetry-core>=1.0.0"]
-build-backend = "poetry.core.masonry.api"
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 000000000..800d7e1dd
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,6523 @@
+version = 1
+requires-python = ">=3.9, <3.12"
+resolution-markers = [
+    "python_full_version >= '3.11' and sys_platform == 'darwin'",
+    "python_full_version >= '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version >= '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version == '3.10.*' and sys_platform == 'darwin'",
+    "python_full_version == '3.10.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version == '3.10.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.10.*' and sys_platform != 'darwin' and sys_platform != 'linux')",
+    "python_full_version < '3.10' and platform_machine == 'arm64' and sys_platform == 'darwin'",
+    "python_full_version < '3.10' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "(python_full_version < '3.10' and platform_machine != 'arm64' and sys_platform == 'darwin') or (python_full_version < '3.10' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.10' and sys_platform != 'darwin' and sys_platform != 'linux')",
+]
+
+[[package]]
+name = "a2wsgi"
+version = "1.10.10"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "typing-extensions", marker = "python_full_version < '3.11'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/9a/cb/822c56fbea97e9eee201a2e434a80437f6750ebcb1ed307ee3a0a7505b14/a2wsgi-1.10.10.tar.gz", hash = "sha256:a5bcffb52081ba39df0d5e9a884fc6f819d92e3a42389343ba77cbf809fe1f45", size = 18799 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/02/d5/349aba3dc421e73cbd4958c0ce0a4f1aa3a738bc0d7de75d2f40ed43a535/a2wsgi-1.10.10-py3-none-any.whl", hash = "sha256:d2b21379479718539dc15fce53b876251a0efe7615352dfe49f6ad1bc507848d", size = 17389 },
+]
+
+[[package]]
+name = "accessible-pygments"
+version = "0.0.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pygments" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/bc/c1/bbac6a50d02774f91572938964c582fff4270eee73ab822a4aeea4d8b11b/accessible_pygments-0.0.5.tar.gz", hash = "sha256:40918d3e6a2b619ad424cb91e556bd3bd8865443d9f22f1dcdf79e33c8046872", size = 1377899 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/8d/3f/95338030883d8c8b91223b4e21744b04d11b161a3ef117295d8241f50ab4/accessible_pygments-0.0.5-py3-none-any.whl", hash = "sha256:88ae3211e68a1d0b011504b2ffc1691feafce124b845bd072ab6f9f66f34d4b7", size = 1395903 },
+]
+
+[[package]]
+name = "aiofiles"
+version = "22.1.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/86/26/6e5060a159a6131c430e8a01ec8327405a19a449a506224b394e36f2ebc9/aiofiles-22.1.0.tar.gz", hash = "sha256:9107f1ca0b2a5553987a94a3c9959fe5b491fdf731389aa5b7b1bd0733e32de6", size = 14669 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a0/48/d5d1ab7cfe46e573c3694fa1365442a7d7cadc3abb03d8507e58a3755bb2/aiofiles-22.1.0-py3-none-any.whl", hash = "sha256:1142fa8e80dbae46bb6339573ad4c8c0841358f79c6eb50a493dceca14621bad", size = 14171 },
+]
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.6.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265 },
+]
+
+[[package]]
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