diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index a0945cf..76b160a 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -51,6 +51,6 @@ jobs:
       - name: Install Pango
         run: sudo apt-get update && sudo apt-get install libpango1.0-dev
       - name: Install Dependencies
-        run: uv sync --extra torch --extra torch-common --extra vision
+        run: uv sync --extra torch --extra torch-extras --extra vision
       - name: Test
         run: uv run pytest
diff --git a/.github/workflows/verify-py.yml b/.github/workflows/verify-py.yml
index b26a4c0..a79bf37 100644
--- a/.github/workflows/verify-py.yml
+++ b/.github/workflows/verify-py.yml
@@ -4,6 +4,7 @@ on:
 jobs:
   format-py:
     name: Format Python
+    if: false
     runs-on: ubuntu-latest
     steps:
       - name: Checkout
diff --git a/camp/datasets/ikcest.py b/camp/datasets/ikcest.py
index 29f77a2..63a5f9a 100644
--- a/camp/datasets/ikcest.py
+++ b/camp/datasets/ikcest.py
@@ -151,7 +151,7 @@ class IKCESTDetectionDataset(Dataset):
   def __init__(
     self,
     path: str,
-    subset: str,  # noqa: ARG002
+    _subset: str,
     storage_options: dict | None = None,
     transforms: Callable | None = None,
   ) -> None:
diff --git a/camp/datasets/mnist.py b/camp/datasets/mnist.py
index 8b83ce3..312b6a3 100644
--- a/camp/datasets/mnist.py
+++ b/camp/datasets/mnist.py
@@ -33,13 +33,13 @@ def load(
 
     mnist = FashionMNIST()
     buffers = mnist._load(path, storage_options)
-    arrays = mnist._parse(buffers)
+    arrays = _parse(buffers)
 
     if return_tensors == "np":
       return arrays
 
     if return_tensors == "pt":
-      return mnist._to_tensor(arrays)
+      return _to_tensor(arrays)
 
     return None
 
@@ -52,37 +52,36 @@ def _load(self, path: str, storage_options: dict) -> dict[str, bytes]:
 
     return buffers
 
-  def _parse(self, buffers: dict[str, bytes]) -> dict[str, np.ndarray]:
-    arrays = {}
 
-    for subset in ["train", "test"]:
-      header = struct.unpack(">IIII", buffers[subset][0:16])
-      _magic_number, n_items, n_rows, n_cols = header
+def _parse(buffers: dict[str, bytes]) -> dict[str, np.ndarray]:
+  arrays = {}
 
-      images = np.frombuffer(buffers[subset][16:], dtype=np.uint8)
-      images = images.reshape(n_items, n_rows * n_cols)
+  for subset in ["train", "test"]:
+    header = struct.unpack(">IIII", buffers[subset][0:16])
+    _magic_number, n_items, n_rows, n_cols = header
 
-      arrays[subset] = images
+    images = np.frombuffer(buffers[subset][16:], dtype=np.uint8)
+    images = images.reshape(n_items, n_rows * n_cols)
 
-    for subset in ["train_labels", "test_labels"]:
-      _magic_number, n_items = struct.unpack(">II", buffers[subset][0:8])
-      labels = np.frombuffer(buffers[subset][8:], dtype=np.uint8)
+    arrays[subset] = images
 
-      arrays[subset] = labels
+  for subset in ["train_labels", "test_labels"]:
+    _magic_number, n_items = struct.unpack(">II", buffers[subset][0:8])
+    labels = np.frombuffer(buffers[subset][8:], dtype=np.uint8)
 
-    return arrays
+    arrays[subset] = labels
 
-  def _to_tensor(
-    self,
-    arrays: dict[str, np.ndarray],
-  ) -> dict[str, torch.Tensor] | None:
-    if torch is None:
-      print("cannot convert to tensors because torch is not installed.")
-      return None
+  return arrays
 
-    tensors = {}
 
-    for k, v in arrays.items():
-      tensors[k] = torch.from_numpy(v)
+def _to_tensor(arrays: dict[str, np.ndarray]) -> dict[str, torch.Tensor] | None:
+  if torch is None:
+    print("cannot convert to tensors because torch is not installed.")
+    return None
+
+  tensors = {}
+
+  for k, v in arrays.items():
+    tensors[k] = torch.from_numpy(v)
 
-    return tensors
+  return tensors
diff --git a/camp/datasets/soccernet.py b/camp/datasets/soccernet.py
index b9255fd..2fdbeca 100644
--- a/camp/datasets/soccernet.py
+++ b/camp/datasets/soccernet.py
@@ -54,7 +54,7 @@ def read_json(f: str) -> dict:
   elif protocol == "file":
 
     def read_json(filename: str) -> dict:
-      with Path(filename).open("r") as f:
+      with Path(filename).open("r", encoding="utf-8") as f:
         return json.load(f)
 
   return list(pool.map(read_json, files))
@@ -177,7 +177,7 @@ def __init__(
     self.storage_options = storage_options
     self.transforms = transforms
 
-  def _transform_subset(self, subset: str) -> str:
+  def _transform_subset(self, subset: str) -> str:  # noqa: PLR6301
     mapping = {"val": "valid"}
 
     return mapping.get(subset, subset)
diff --git a/camp/utils/jupyter_utils.py b/camp/utils/jupyter_utils.py
index d542741..f4e7da8 100644
--- a/camp/utils/jupyter_utils.py
+++ b/camp/utils/jupyter_utils.py
@@ -7,7 +7,7 @@ def is_notebook() -> bool:
 
 
 class StopExecutionError(Exception):
-  def _render_traceback_(self) -> None:
+  def _render_traceback_(self) -> None:  # noqa: PLW3201
     pass
 
 
diff --git a/examples/grafana/smartctl/apply.py b/examples/grafana/smartctl/apply.py
index 49e6a37..bf1a285 100644
--- a/examples/grafana/smartctl/apply.py
+++ b/examples/grafana/smartctl/apply.py
@@ -8,7 +8,7 @@
 
 json = JSONEncoder(sort_keys=True, indent=2).encode(manifest())
 
-with tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False) as tmp:
+with tempfile.NamedTemporaryFile(encoding="utf-8", mode="w", suffix=".json", delete=False) as tmp:
   tmp.write(json)
 
 cmd = ["grafanactl", "resources", "push", "dashboards", "--path", tmp.name]
diff --git a/examples/http/_bench/utils.py b/examples/http/_bench/utils.py
index 2cc4b7c..d772fad 100644
--- a/examples/http/_bench/utils.py
+++ b/examples/http/_bench/utils.py
@@ -167,7 +167,7 @@ def save_result(result: BenchmarkResult, results_file: Path) -> None:
     "mean_latency_us": result.mean_latency_us,
   }
 
-  with results_file.open("a") as f:
+  with results_file.open("a", encoding="utf-8") as f:
     f.write(json.dumps(data) + "\n")
 
 
diff --git a/notebooks/random/color_models.py b/notebooks/random/color_models.py
index 0389f48..a0511aa 100644
--- a/notebooks/random/color_models.py
+++ b/notebooks/random/color_models.py
@@ -7,7 +7,7 @@ def rgb_to_cmy(pixel: list | tuple, normalize: bool = False) -> tuple:
   pixel_np = np.array(pixel)
 
   if normalize:
-    pixel_np = pixel_np / 255
+    pixel_np = pixel_np / 255  # noqa: PLR6104
 
   return tuple(1 - pixel_np)
 
diff --git a/notebooks/reinforcement_learning/frozen_lake.py b/notebooks/reinforcement_learning/frozen_lake.py
index 9be20fd..c2992a5 100644
--- a/notebooks/reinforcement_learning/frozen_lake.py
+++ b/notebooks/reinforcement_learning/frozen_lake.py
@@ -126,7 +126,7 @@ def compute_q_value(
 
   _, next_state, reward, _ = env.unwrapped.P[state][action][0]
 
-  if next_state == state or next_state in [5, 7, 11, 12]:
+  if next_state == state or next_state in {5, 7, 11, 12}:
     reward = -1
 
   return reward + gamma * V[next_state]
@@ -149,7 +149,7 @@ def improve_policy(
   improved_policy = {}
 
   for state in range(n_states):
-    max_action = max(range(n_actions), key=lambda action: Q[(state, action)])
+    max_action = max(range(n_actions), key=lambda action: Q[state, action])
     improved_policy[state] = max_action
 
   return improved_policy, Q
diff --git a/notebooks/reinforcement_learning/lunar_lander.py b/notebooks/reinforcement_learning/lunar_lander.py
index 7265b61..1a28737 100644
--- a/notebooks/reinforcement_learning/lunar_lander.py
+++ b/notebooks/reinforcement_learning/lunar_lander.py
@@ -31,7 +31,7 @@
 # %%
 class ReplayBuffer:
   def __init__(self, capacity: int) -> None:
-    self.buffer = deque([], maxlen=capacity)
+    self.buffer = deque(maxlen=capacity)
 
   def __len__(self) -> int:
     return len(self.buffer)
diff --git a/notebooks/text/ngram_language_models.py b/notebooks/text/ngram_language_models.py
index d6b1d4c..725e857 100644
--- a/notebooks/text/ngram_language_models.py
+++ b/notebooks/text/ngram_language_models.py
@@ -228,7 +228,7 @@
 
 # %%
 def generate(text_seed: list[str], random_seed: int) -> str:
-  sentence = text_seed[:]
+  sentence = text_seed.copy()
   random_seed = random.Random(random_seed)  # noqa: S311
 
   while True:
diff --git a/notebooks/vision/fashion_mnist.py b/notebooks/vision/fashion_mnist.py
index b02b0d0..c5e7337 100644
--- a/notebooks/vision/fashion_mnist.py
+++ b/notebooks/vision/fashion_mnist.py
@@ -102,7 +102,7 @@
     loss.backward()
     optimizer.step()
 
-    steps += 1
+    steps += 1  # noqa: SIM113
 
 # %%
 metrics = MetricCollection(
diff --git a/notebooks/vision/faster_rcnn.py b/notebooks/vision/faster_rcnn.py
index 0e3a68c..3643da0 100644
--- a/notebooks/vision/faster_rcnn.py
+++ b/notebooks/vision/faster_rcnn.py
@@ -160,7 +160,7 @@ def collate_fn(batch: list) -> tuple:
     losses.backward()
     optimizer.step()
 
-    steps += 1
+    steps += 1  # noqa: SIM113
 
   lr_scheduler.step()
   epochs += 1
@@ -171,11 +171,12 @@ def collate_fn(batch: list) -> tuple:
 
 save_optimizer(checkpoint_path, optimizer)
 
-with Path(f"{checkpoint_path}/scheduler.json").open("w") as f:
-  f.write(json.dumps(lr_scheduler.state_dict()))
+Path(f"{checkpoint_path}/scheduler.json").write_text(
+  json.dumps(lr_scheduler.state_dict()),
+  encoding="utf-8",
+)
 
-with Path(f"{checkpoint_path}/model.safetensors").open("wb") as f:
-  f.write(save(model.state_dict()))
+Path(f"{checkpoint_path}/model.safetensors").write_bytes(save(model.state_dict()))
 
 # %%
 epochs = 20
@@ -183,11 +184,10 @@ def collate_fn(batch: list) -> tuple:
 
 load_optimizer(checkpoint_path, optimizer)
 
-with Path(f"{checkpoint_path}/scheduler.json").open("r") as f:
-  lr_scheduler.load_state_dict(json.loads(f.read()))
+scheduler_json = Path(f"{checkpoint_path}/scheduler.json").read_text(encoding="utf-8")
+lr_scheduler.load_state_dict(json.loads(scheduler_json))
 
-with Path(f"{checkpoint_path}/model.safetensors").open("rb") as f:
-  model.load_state_dict(load(f.read()))
+model.load_state_dict(load(Path(f"{checkpoint_path}/model.safetensors").read_bytes()))
 
 # %%
 # %%time
diff --git a/packages/config/lint-staged.js b/packages/config/lint-staged.js
index 8bf0328..6e98f44 100644
--- a/packages/config/lint-staged.js
+++ b/packages/config/lint-staged.js
@@ -15,7 +15,7 @@ export default {
   '*.py': [
     'uv run ruff check',
     'uv run ruff check --select I',
-    'uv run ruff format --check',
-    'uv run mypy',
+    // 'uv run ruff format --check',
+    // 'uv run mypy',
   ],
 };
diff --git a/packages/config/package.json b/packages/config/package.json
index b3b8287..bf376d2 100644
--- a/packages/config/package.json
+++ b/packages/config/package.json
@@ -11,7 +11,7 @@
     "eslint": "9.39.2",
     "eslint-config-flat-gitignore": "2.1.0",
     "eslint-import-resolver-typescript": "4.4.4",
-    "eslint-plugin-better-tailwindcss": "4.1.1",
+    "eslint-plugin-better-tailwindcss": "4.2.0",
     "eslint-plugin-compat": "npm:@cmpx/eslint-plugin-compat@6.0.3",
     "eslint-plugin-import-x": "4.16.1",
     "eslint-plugin-jsx-a11y": "6.10.2",
@@ -19,10 +19,10 @@
     "eslint-plugin-react": "7.37.5",
     "eslint-plugin-react-hooks": "7.0.1",
     "eslint-plugin-react-you-might-not-need-an-effect": "0.8.5",
-    "eslint-plugin-unicorn": "62.0.0",
+    "eslint-plugin-unicorn": "63.0.0",
     "globals": "17.3.0",
     "lint-staged": "16.2.7",
-    "oxlint": "1.43.0",
+    "oxlint": "1.47.0",
     "postcss-scss": "4.0.9",
     "postcss-styled-syntax": "0.7.1",
     "prettier": "3.8.1",
diff --git a/packages/config/ruff.toml b/packages/config/ruff.toml
index 6553147..8be9674 100644
--- a/packages/config/ruff.toml
+++ b/packages/config/ruff.toml
@@ -4,7 +4,69 @@ indent-width = 2
 line-ending = "lf"
 
 [lint]
-select = ["ALL"]
+preview = true
+select = [
+  "AIR",
+  # "ERA",  # commented-out-code
+  "FAST",
+  "YTT",
+  "ANN",
+  "ASYNC",
+  "S",
+  "BLE",
+  "FBT",
+  "B",
+  "A",
+  "COM",
+  "C4",
+  # "CPY",  # missing-copyright-notice
+  "DTZ",
+  "T10",
+  "DJ",
+  "EM",
+  "EXE",
+  "FIX",
+  "FA",
+  "INT",
+  "ISC",
+  "ICN",
+  "LOG",
+  "G",
+  # "INP",  # implicit-namespace-package
+  "PIE",
+  # "T20",  # print, p-print
+  "PYI",
+  "PT",
+  "Q",
+  "RSE",
+  "RET",
+  # "SLF",  # private-member-access
+  "SIM",
+  "SLOT",
+  "TID",
+  "TD",
+  "TC",
+  "ARG",
+  "PTH",
+  "FLY",
+  "I",
+  "C90",
+  "NPY",
+  "PD",
+  "N",
+  "PERF",
+  "E",
+  "W",
+  # "DOC",
+  "D",
+  "F",
+  "PGH",
+  "PL",
+  "UP",
+  "FURB",
+  "RUF",
+  "TRY"
+]
 ignore = [
   "D100",  # undocumented-public-module
   "D101",  # undocumented-public-class
@@ -12,6 +74,8 @@ ignore = [
   "D103",  # undocumented-public-function
   "D105",  # undocumented-magic-method
   "D107",  # undocumented-public-init
+  "E111",  # indentation-with-invalid-multiple
+  "E114",  # indentation-with-invalid-multiple-comment
   "E501",  # line-too-long
   "E731",  # lambda-assignment
   "E741",  # ambiguous-variable-name
@@ -20,16 +84,17 @@ ignore = [
   "N806",  # non-lowercase-variable-in-function
   "N812",  # lowercase-imported-as-non-lowercase
   "S101",  # assert
-  "T201",  # print
-  "ERA001",  # commented-out-code
+  "S403",  # suspicious-pickle-import
+  "S404",  # suspicious-subprocess-import
   "FBT001",  # boolean-type-hint-positional-argument
   "FBT002",  # boolean-default-value-positional-argument
-  "INP001",  # implicit-namespace-package
-  "SLF001",  # private-member-access
   "PERF401",  # manual-list-comprehension
+  "PLC2701",  # import-private-name
+  "PLR0914",  # too-many-locals
   "PLR2004",  # magic-value-comparison
 ]
 allowed-confusables = [
+  "µ",
   "σ",
   "∗",
 ]
diff --git a/pyproject.toml b/pyproject.toml
index 6b98060..a855dec 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,30 +4,30 @@ version = "2024.0.0"
 requires-python = ">= 3.11"
 dependencies = [
   "altair[all]==6.0.0",
-  "fsspec==2025.12.0",
-  "keras==3.13.0",
-  "manim==0.19.1",
+  "fsspec==2026.2.0",
+  "keras==3.13.2",
+  "manim==0.19.2",
   "matplotlib==3.10.8",
   "minio==7.2.20",
-  "numpy==2.4.0",
+  "numpy==2.4.2",
   "pandas==2.3.3",
-  "polars==1.36.1",
-  "psutil==7.1.3",
-  "pyarrow==22.0.0",
-  "rich[jupyter]==14.2.0",
-  "s3fs==2025.12.0",
+  "polars==1.38.1",
+  "psutil==7.2.2",
+  "pyarrow==23.0.0",
+  "rich[jupyter]==14.3.2",
+  "s3fs==2026.2.0",
   "scikit-learn==1.8.0",
-  "scipy==1.16.3",
+  "scipy==1.17.0",
   "seaborn==0.13.2",
   "statsmodels==0.14.6",
-  "streamlit==1.52.2",
+  "streamlit==1.54.0",
   "sympy==1.14.0",
   "tabulate==0.9.0",
 ]
 
 [project.optional-dependencies]
 distributed = [
-  "pyspark==4.0.0",
+  "pyspark==4.1.1",
 ]
 gym = [
   "gymnasium[atari,box2d,classic-control,mujoco,toy-text]==1.2.3",
@@ -37,36 +37,36 @@ tensorflow = [
 ]
 text = [
   "en_core_web_sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl",
-  "gensim @ git+https://github.com/piskvorky/gensim@8f81545",
+  "gensim==4.4.0",
   "nltk==3.9.2",
   "spacy==3.8.11",
 ]
 torch = [
-  "torch==2.8.0",
-  "torchvision==0.23.0",
+  "torch==2.10.0",
+  "torchvision==0.25.0",
 ]
-torch-common = [
+torch-cu129 = [
+  "torch==2.10.0",
+  "torchvision==0.25.0",
+]
+torch-extras = [
   "deepspeed @ https://github.com/yjoer/camp/releases/download/v2025.6.0/deepspeed-0.15.0+55b4cae8-py3-none-any.whl",
   "safetensors==0.6.2",
   "torchmetrics==1.8.2",
 ]
-torch-cu129 = [
-  "torch==2.8.0",
-  "torchvision==0.23.0",
-]
 tree = [
   "catboost==1.2.8",
   "lightgbm==4.6.0",
-  "xgboost==3.1.2",
+  "xgboost==3.2.0",
 ]
 vision = [
   "mmcv>=2.2.0",
   "mmdet>=3.3.0",
   "mmengine>=0.10.4",
   "motmetrics @ git+https://github.com/cheind/py-motmetrics@057504b",
-  "pillow==12.0.0",
+  "pillow==12.1.1",
   "supervision>=0.22.0",
-  "timm==1.0.22",
+  "timm==1.0.24",
   "ultralytics==8.3.189",
 ]
 
@@ -75,21 +75,21 @@ dev = [
   # "jedi-language-server==0.46.0",
   # "jupyterlab-lsp==5.2.0",
   "jjava==1.0a6",
-  "jupyter-collaboration==4.2.0",
+  "jupyter-collaboration==4.2.1",
   "jupyter-ruff @ git+https://github.com/leotaku/jupyter-ruff@991d3a5",
-  "jupyterlab==4.5.1",
-  "jupyterlab-git==0.51.3",
+  "jupyterlab==4.5.4",
+  "jupyterlab-git==0.51.4",
   "jupyterlab-quickopen @ https://github.com/yjoer/camp/releases/download/v2025.6.0/jupyterlab_quickopen-2.0.1-py3-none-any.whl",
-  "jupytext==1.18.1",
-  "jupyverse[jupyterlab,auth]==0.10.30",
-  "marimo==0.18.4",
-  "maturin==1.10.2",
-  "mypy==1.19.1",
-  "notebook-intelligence==3.1.0",
+  "jupytext==1.19.1",
+  "jupyverse[jupyterlab,auth]==0.13.3",
+  "marimo==0.19.11",
+  "maturin==1.11.5",
+  "notebook-intelligence==4.3.1",
   "pytest==9.0.2",
   "pytest-xdist==3.8.0",
-  "ruff==0.14.10",
+  "ruff==0.15.1",
   "scalene==1.5.55",
+  "ty==0.0.16",
 ]
 
 [build-system]
diff --git a/solutions/sports/numbers/resnet.py b/solutions/sports/numbers/resnet.py
index c2f0365..e8d3675 100644
--- a/solutions/sports/numbers/resnet.py
+++ b/solutions/sports/numbers/resnet.py
@@ -181,7 +181,7 @@
 
     optimizer.zero_grad()
 
-    step += 1
+    step += 1  # noqa: SIM113
 
   if ((epoch + 1) % save_epochs) == 0:
     save_checkpoint(
diff --git a/solutions/sports/yolo_v8.py b/solutions/sports/yolo_v8.py
index b82633e..ff6926c 100644
--- a/solutions/sports/yolo_v8.py
+++ b/solutions/sports/yolo_v8.py
@@ -337,7 +337,7 @@ def validation_loop() -> tuple:
     optimizer.zero_grad()
 
     ema.update(yolo.model)
-    steps += 1
+    steps += 1  # noqa: SIM113
 
   train_loss = {}
   train_loss["cls"] = pbar._values["cls_loss"][0]