diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index a70120ed72..7e3d63abce 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -23,7 +23,7 @@ ci:
 
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.3.0
+    rev: v4.4.0
     hooks:
       - id: end-of-file-fixer
       - id: trailing-whitespace
@@ -49,33 +49,33 @@ repos:
       - id: detect-private-key
 
   - repo: https://github.com/asottile/pyupgrade
-    rev: v2.34.0
+    rev: v3.3.1
     hooks:
       - id: pyupgrade
         args: [--py37-plus]
         name: Upgrade code
 
-  - repo: https://github.com/myint/docformatter
+  - repo: https://github.com/PyCQA/docformatter
     rev: v1.4
     hooks:
       - id: docformatter
         args: [--in-place, --wrap-summaries=115, --wrap-descriptions=120]
 
   - repo: https://github.com/asottile/yesqa
-    rev: v1.3.0
+    rev: v1.4.0
     hooks:
       - id: yesqa
         name: Unused noqa
 
   - repo: https://github.com/PyCQA/isort
-    rev: 5.10.1
+    rev: 5.11.4
     hooks:
       - id: isort
         name: Format imports
         exclude: docs/source-app
 
   - repo: https://github.com/psf/black
-    rev: 22.6.0
+    rev: 22.12.0
     hooks:
       - id: black
         name: Format code
@@ -90,7 +90,7 @@ repos:
         exclude: docs/source-app
 
   - repo: https://github.com/executablebooks/mdformat
-    rev: 0.7.14
+    rev: 0.7.16
     hooks:
       - id: mdformat
         additional_dependencies:
diff --git a/docs/source-app/code_samples/quickstart/hello_world/app.py b/docs/source-app/code_samples/quickstart/hello_world/app.py
index 07a764cb98..94ac255461 100644
--- a/docs/source-app/code_samples/quickstart/hello_world/app.py
+++ b/docs/source-app/code_samples/quickstart/hello_world/app.py
@@ -3,7 +3,6 @@ import lightning as L
 
 # Step 1: Subclass LightningFlow component to define the app flow.
 class HelloWorld(L.LightningFlow):
-
     # Step 2: Add the app logic to the LightningFlow run method to
     # ``print("Hello World!")`.
     # The LightningApp executes the run method of the main LightningFlow
diff --git a/docs/source-app/code_samples/quickstart/hello_world/app_ui.py b/docs/source-app/code_samples/quickstart/hello_world/app_ui.py
index 8ed669d81f..67fa6aab3f 100644
--- a/docs/source-app/code_samples/quickstart/hello_world/app_ui.py
+++ b/docs/source-app/code_samples/quickstart/hello_world/app_ui.py
@@ -32,7 +32,6 @@ def render_fn(state: AppState):
 
 # Step 4: Implement a Static Web Frontend. This could be react, vue, etc.
 class UIStatic(L.LightningFlow):
-
     # Step 5:
     def configure_layout(self):
         return StaticWebFrontend(os.path.join(os.path.dirname(__file__), "ui"))
diff --git a/docs/source-app/examples/dag/dag_from_scratch.rst b/docs/source-app/examples/dag/dag_from_scratch.rst
index 4af39f1af7..ccf5f98df5 100644
--- a/docs/source-app/examples/dag/dag_from_scratch.rst
+++ b/docs/source-app/examples/dag/dag_from_scratch.rst
@@ -36,12 +36,12 @@ First, let's define the component we need:
 * A collection of model work to train all models in parallel.
 
 .. literalinclude:: ../../../examples/app_dag/app.py
-    :lines: 55-79
+    :lines: 53-75
 
 And its run method executes the steps described above.
 
 .. literalinclude:: ../../../examples/app_dag/app.py
-    :lines: 80-103
+    :lines: 77-100
 
 ----
 
@@ -50,4 +50,4 @@ Step 2: Define the scheduling
 *****************************
 
 .. literalinclude:: ../../../examples/app_dag/app.py
-    :lines: 106-135
+    :lines: 103-132
diff --git a/docs/source-app/examples/file_server/app.py b/docs/source-app/examples/file_server/app.py
index cfc72a70b3..46a74efa41 100644
--- a/docs/source-app/examples/file_server/app.py
+++ b/docs/source-app/examples/file_server/app.py
@@ -90,7 +90,7 @@ class FileServer(L.LightningWork):
             "size": full_size,
             "drive_path": uploaded_file,
         }
-        with open(self.get_filepath(meta_file), "wt") as f:
+        with open(self.get_filepath(meta_file), "w") as f:
             json.dump(meta, f)
 
         # 5: Put the file to the drive.
@@ -163,7 +163,6 @@ from lightning import LightningWork
 
 
 class TestFileServer(LightningWork):
-
     def __init__(self, drive: Drive):
         super().__init__(cache_calls=True)
         self.drive = drive
@@ -188,7 +187,6 @@ from lightning import LightningApp, LightningFlow
 
 
 class Flow(LightningFlow):
-
     def __init__(self):
         super().__init__()
         # 1: Create a drive to share data between works
diff --git a/docs/source-app/examples/github_repo_runner/app.py b/docs/source-app/examples/github_repo_runner/app.py
index 70e20ac380..486055f7a8 100644
--- a/docs/source-app/examples/github_repo_runner/app.py
+++ b/docs/source-app/examples/github_repo_runner/app.py
@@ -73,7 +73,6 @@ class GithubRepoRunner(TracerPythonScript):
 
 
 class PyTorchLightningGithubRepoRunner(GithubRepoRunner):
-
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
         self.best_model_path = None
diff --git a/docs/source-app/examples/model_server_app/model_server.py b/docs/source-app/examples/model_server_app/model_server.py
index bdfbff3cf2..8562c63d8c 100644
--- a/docs/source-app/examples/model_server_app/model_server.py
+++ b/docs/source-app/examples/model_server_app/model_server.py
@@ -8,7 +8,6 @@ from lightning.app.storage import Path
 
 
 class MLServer(LightningWork):
-
     """This components uses SeldonIO MLServer library.
 
     The model endpoint: /v2/models/{MODEL_NAME}/versions/{VERSION}/infer.
diff --git a/docs/source-app/examples/model_server_app/train.py b/docs/source-app/examples/model_server_app/train.py
index f3342b9f24..698e0d889c 100644
--- a/docs/source-app/examples/model_server_app/train.py
+++ b/docs/source-app/examples/model_server_app/train.py
@@ -7,7 +7,6 @@ from lightning.app.storage import Path
 
 
 class TrainModel(LightningWork):
-
     """This component trains a Sklearn SVC model on digits dataset."""
 
     def __init__(self):
diff --git a/docs/source-app/workflows/add_web_ui/dash/intermediate_plot.py b/docs/source-app/workflows/add_web_ui/dash/intermediate_plot.py
index 177a84219a..4d8733b561 100644
--- a/docs/source-app/workflows/add_web_ui/dash/intermediate_plot.py
+++ b/docs/source-app/workflows/add_web_ui/dash/intermediate_plot.py
@@ -15,7 +15,6 @@ class LitDash(L.LightningWork):
         self.selected_year = None
 
     def run(self):
-
         df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv")
         self.df = Payload(df)
 
diff --git a/docs/source-app/workflows/build_command_line_interface/app.py b/docs/source-app/workflows/build_command_line_interface/app.py
index f6a398096b..e5abeee07e 100644
--- a/docs/source-app/workflows/build_command_line_interface/app.py
+++ b/docs/source-app/workflows/build_command_line_interface/app.py
@@ -6,7 +6,6 @@ from lightning.app.structures import Dict
 
 
 class Flow(L.LightningFlow):
-
     def __init__(self):
         super().__init__()
         self.notebooks = Dict()
diff --git a/docs/source-app/workflows/build_command_line_interface/commands/notebook/run.py b/docs/source-app/workflows/build_command_line_interface/commands/notebook/run.py
index a44e6bfa4f..e0a6463c2d 100644
--- a/docs/source-app/workflows/build_command_line_interface/commands/notebook/run.py
+++ b/docs/source-app/workflows/build_command_line_interface/commands/notebook/run.py
@@ -12,7 +12,6 @@ class RunNotebookConfig(BaseModel):
 
 
 class RunNotebook(ClientCommand):
-
     description = "Run a Notebook."
 
     def run(self):
diff --git a/docs/source-app/workflows/build_command_line_interface/post_example.py b/docs/source-app/workflows/build_command_line_interface/post_example.py
index c7f87f1cff..4597b3d990 100644
--- a/docs/source-app/workflows/build_command_line_interface/post_example.py
+++ b/docs/source-app/workflows/build_command_line_interface/post_example.py
@@ -3,7 +3,6 @@ from lightning.app.api import Post
 
 
 class Flow(L.LightningFlow):
-
     # 1. Define the state
     def __init__(self):
         super().__init__()
diff --git a/docs/source-app/workflows/build_rest_api/post_example.py b/docs/source-app/workflows/build_rest_api/post_example.py
index 4a306f176e..0ba24058a8 100644
--- a/docs/source-app/workflows/build_rest_api/post_example.py
+++ b/docs/source-app/workflows/build_rest_api/post_example.py
@@ -3,7 +3,6 @@ from lightning.app.api import Post
 
 
 class Flow(L.LightningFlow):
-
     # 1. Define the state
     def __init__(self):
         super().__init__()
diff --git a/docs/source-app/workflows/build_rest_api/post_example_pydantic.py b/docs/source-app/workflows/build_rest_api/post_example_pydantic.py
index e3c16ca35d..f32dc3f308 100644
--- a/docs/source-app/workflows/build_rest_api/post_example_pydantic.py
+++ b/docs/source-app/workflows/build_rest_api/post_example_pydantic.py
@@ -5,7 +5,6 @@ from lightning.app.api import Post
 
 
 class Flow(L.LightningFlow):
-
     # 1. Define the state
     def __init__(self):
         super().__init__()
diff --git a/examples/app_commands_and_api/command.py b/examples/app_commands_and_api/command.py
index 94f54d7e91..96d3f677c2 100644
--- a/examples/app_commands_and_api/command.py
+++ b/examples/app_commands_and_api/command.py
@@ -10,7 +10,6 @@ class CustomConfig(BaseModel):
 
 
 class CustomCommand(ClientCommand):
-
     description = "A command with a client."
 
     def run(self):
diff --git a/examples/app_components/python/component_tracer.py b/examples/app_components/python/component_tracer.py
index 11354490e5..8eeeaa88fd 100644
--- a/examples/app_components/python/component_tracer.py
+++ b/examples/app_components/python/component_tracer.py
@@ -5,7 +5,6 @@ from pytorch_lightning import Trainer
 
 
 class PLTracerPythonScript(TracerPythonScript):
-
     """This component can be used for ANY PyTorch Lightning script to track its progress and extract its best model
     path."""
 
diff --git a/examples/app_components/serve/gradio/app.py b/examples/app_components/serve/gradio/app.py
index b0ac325f4d..b0f81bf26c 100644
--- a/examples/app_components/serve/gradio/app.py
+++ b/examples/app_components/serve/gradio/app.py
@@ -12,7 +12,6 @@ from lightning.app.components import ServeGradio
 # Credit to @akhaliq for his inspiring work.
 # Find his original code there: https://huggingface.co/spaces/akhaliq/AnimeGANv2/blob/main/app.py
 class AnimeGANv2UI(ServeGradio):
-
     inputs = gr.inputs.Image(type="pil")
     outputs = gr.outputs.Image(type="pil")
     elon = "https://upload.wikimedia.org/wikipedia/commons/3/34/Elon_Musk_Royal_Society_%28crop2%29.jpg"
diff --git a/examples/app_dag/app.py b/examples/app_dag/app.py
index 531e390284..578c47c0b3 100644
--- a/examples/app_dag/app.py
+++ b/examples/app_dag/app.py
@@ -17,7 +17,6 @@ def get_path(path):
 
 
 class GetDataWork(L.LightningWork):
-
     """This component is responsible to download some data and store them with a PayLoad."""
 
     def __init__(self):
@@ -34,7 +33,6 @@ class GetDataWork(L.LightningWork):
 
 
 class ModelWork(L.LightningWork):
-
     """This component is receiving some data and train a sklearn model."""
 
     def __init__(self, model_path: str, parallel: bool):
@@ -53,7 +51,6 @@ class ModelWork(L.LightningWork):
 
 
 class DAG(L.LightningFlow):
-
     """This component is a DAG."""
 
     def __init__(self, models_paths: list):
diff --git a/examples/fabric/image_classifier_1_pytorch.py b/examples/fabric/image_classifier_1_pytorch.py
index a7fe9ce51c..f00677837b 100644
--- a/examples/fabric/image_classifier_1_pytorch.py
+++ b/examples/fabric/image_classifier_1_pytorch.py
@@ -28,7 +28,6 @@ DATASETS_PATH = path.join(path.dirname(__file__), "..", "..", "Datasets")
 # Credit to the PyTorch team
 # Taken from https://github.com/pytorch/examples/blob/master/mnist/main.py and slightly adapted.
 def run(hparams):
-
     torch.manual_seed(hparams.seed)
 
     use_cuda = torch.cuda.is_available()
diff --git a/examples/pl_basics/profiler_example.py b/examples/pl_basics/profiler_example.py
index 517c33c052..d187c247ae 100644
--- a/examples/pl_basics/profiler_example.py
+++ b/examples/pl_basics/profiler_example.py
@@ -90,7 +90,6 @@ class ModelToProfile(LightningModule):
 
 
 class CIFAR10DataModule(LightningDataModule):
-
     transform = T.Compose([T.Resize(256), T.CenterCrop(224), T.ToTensor()])
 
     def train_dataloader(self, *args, **kwargs):
diff --git a/examples/pl_loops/kfold.py b/examples/pl_loops/kfold.py
index 38103d95ff..b8017b9ccb 100644
--- a/examples/pl_loops/kfold.py
+++ b/examples/pl_loops/kfold.py
@@ -73,7 +73,6 @@ class BaseKFoldDataModule(LightningDataModule, ABC):
 
 @dataclass
 class MNISTKFoldDataModule(BaseKFoldDataModule):
-
     train_dataset: Optional[Dataset] = None
     test_dataset: Optional[Dataset] = None
     train_fold: Optional[Dataset] = None
diff --git a/examples/pl_servable_module/production.py b/examples/pl_servable_module/production.py
index aef5a29a1f..1aee33793a 100644
--- a/examples/pl_servable_module/production.py
+++ b/examples/pl_servable_module/production.py
@@ -43,7 +43,6 @@ class LitModule(LightningModule):
 
 
 class CIFAR10DataModule(LightningDataModule):
-
     transform = T.Compose([T.Resize(256), T.CenterCrop(224), T.ToTensor()])
 
     def train_dataloader(self, *args, **kwargs):
@@ -57,7 +56,6 @@ class CIFAR10DataModule(LightningDataModule):
 
 @dataclass(unsafe_hash=True)
 class Image:
-
     height: Optional[int] = None
     width: Optional[int] = None
     extension: str = "JPEG"
diff --git a/src/lightning_app/api/http_methods.py b/src/lightning_app/api/http_methods.py
index 379e87cb68..8a29aa879a 100644
--- a/src/lightning_app/api/http_methods.py
+++ b/src/lightning_app/api/http_methods.py
@@ -215,12 +215,10 @@ class Post(_HttpMethod):
 
 
 class Get(_HttpMethod):
-
     pass
 
 
 class Put(_HttpMethod):
-
     pass
 
 
diff --git a/src/lightning_app/cli/cmd_init.py b/src/lightning_app/cli/cmd_init.py
index e3fbf4f680..d6f70c8f07 100644
--- a/src/lightning_app/cli/cmd_init.py
+++ b/src/lightning_app/cli/cmd_init.py
@@ -9,7 +9,6 @@ logger = Logger(__name__)
 
 
 def app(app_name: str) -> None:
-
     if app_name is None:
         app_name = _capture_valid_app_component_name(resource_type="app")
 
diff --git a/src/lightning_app/cli/cmd_install.py b/src/lightning_app/cli/cmd_install.py
index 56c3d07b3d..556a9c5eee 100644
--- a/src/lightning_app/cli/cmd_install.py
+++ b/src/lightning_app/cli/cmd_install.py
@@ -148,7 +148,6 @@ def gallery_component(name: str, yes_arg: bool, version_arg: str, cwd: str = Non
 
 
 def non_gallery_component(gh_url: str, yes_arg: bool, cwd: str = None) -> None:
-
     # give the user the chance to do a manual install
     git_url = _show_non_gallery_install_component_prompt(gh_url, yes_arg)
 
@@ -157,7 +156,6 @@ def non_gallery_component(gh_url: str, yes_arg: bool, cwd: str = None) -> None:
 
 
 def gallery_app(name: str, yes_arg: bool, version_arg: str, cwd: str = None, overwrite: bool = False) -> str:
-
     # make sure org/app-name syntax is correct
     org, app = _validate_name(name, resource_type="app", example="lightning/quick-start")
 
@@ -179,7 +177,6 @@ def gallery_app(name: str, yes_arg: bool, version_arg: str, cwd: str = None, ove
 
 
 def non_gallery_app(gh_url: str, yes_arg: bool, cwd: str = None, overwrite: bool = False) -> None:
-
     # give the user the chance to do a manual install
     repo_url, folder_name = _show_non_gallery_install_app_prompt(gh_url, yes_arg)
 
diff --git a/src/lightning_app/cli/commands/logs.py b/src/lightning_app/cli/commands/logs.py
index fb0746dd50..0f90d2b7ad 100644
--- a/src/lightning_app/cli/commands/logs.py
+++ b/src/lightning_app/cli/commands/logs.py
@@ -39,7 +39,6 @@ def logs(app_name: str, components: List[str], follow: bool) -> None:
 
 
 def _show_logs(app_name: str, components: List[str], follow: bool) -> None:
-
     client = LightningClient()
     project = _get_project(client)
 
diff --git a/src/lightning_app/cli/component-template/tests/test_placeholdername_component.py b/src/lightning_app/cli/component-template/tests/test_placeholdername_component.py
index ca8e92d949..e1b30e1c11 100644
--- a/src/lightning_app/cli/component-template/tests/test_placeholdername_component.py
+++ b/src/lightning_app/cli/component-template/tests/test_placeholdername_component.py
@@ -1,5 +1,4 @@
-r"""
-To test a lightning component:
+r"""To test a lightning component:
 
 1. Init the component.
 2. call .run()
diff --git a/src/lightning_app/components/database/server.py b/src/lightning_app/components/database/server.py
index 0a93bf94f9..f095f18a07 100644
--- a/src/lightning_app/components/database/server.py
+++ b/src/lightning_app/components/database/server.py
@@ -30,7 +30,6 @@ logger = Logger(__name__)
 # Required to avoid Uvicorn Server overriding Lightning App signal handlers.
 # Discussions: https://github.com/encode/uvicorn/discussions/1708
 class _DatabaseUvicornServer(uvicorn.Server):
-
     has_started_queue = None
 
     def run(self, sockets=None):
diff --git a/src/lightning_app/components/multi_node/pytorch_spawn.py b/src/lightning_app/components/multi_node/pytorch_spawn.py
index 013bdbcaec..73af59ff1f 100644
--- a/src/lightning_app/components/multi_node/pytorch_spawn.py
+++ b/src/lightning_app/components/multi_node/pytorch_spawn.py
@@ -22,7 +22,6 @@ class _PyTorchSpawnWorkProtocol(Protocol):
 
 
 class _PyTorchSpawnRunExecutor(WorkRunExecutor):
-
     enable_start_observer: bool = False
 
     def __call__(
diff --git a/src/lightning_app/components/python/tracer.py b/src/lightning_app/components/python/tracer.py
index af1eb678d6..332360469b 100644
--- a/src/lightning_app/components/python/tracer.py
+++ b/src/lightning_app/components/python/tracer.py
@@ -22,7 +22,6 @@ class Code(TypedDict):
 
 
 class TracerPythonScript(LightningWork):
-
     _start_method = "spawn"
 
     def on_before_run(self):
diff --git a/src/lightning_app/components/serve/auto_scaler.py b/src/lightning_app/components/serve/auto_scaler.py
index 354e8c8227..3c1edb0e33 100644
--- a/src/lightning_app/components/serve/auto_scaler.py
+++ b/src/lightning_app/components/serve/auto_scaler.py
@@ -143,8 +143,8 @@ def _create_fastapi(title: str) -> FastAPI:
 
 
 class _LoadBalancer(LightningWork):
-    r"""The LoadBalancer is a LightningWork component that collects the requests and sends them to the prediciton API
-    asynchronously using RoundRobin scheduling. It also performs auto batching of the incoming requests.
+    r"""The LoadBalancer is a LightningWork component that collects the requests and sends them to the prediciton
+    API asynchronously using RoundRobin scheduling. It also performs auto batching of the incoming requests.
 
     The LoadBalancer exposes system endpoints with a basic HTTP authentication, in order to activate the authentication
     you need to provide a system password from environment variable::
diff --git a/src/lightning_app/components/serve/gradio.py b/src/lightning_app/components/serve/gradio.py
index 29af372e03..1cddb454c0 100644
--- a/src/lightning_app/components/serve/gradio.py
+++ b/src/lightning_app/components/serve/gradio.py
@@ -13,7 +13,6 @@ else:
 
 
 class ServeGradio(LightningWork, abc.ABC):
-
     """The ServeGradio Class enables to quickly create a ``gradio`` based UI for your LightningApp.
 
     In the example below, the ``ServeGradio`` is subclassed to deploy ``AnimeGANv2``.
diff --git a/src/lightning_app/components/serve/python_server.py b/src/lightning_app/components/serve/python_server.py
index f092843bf2..caae6f584c 100644
--- a/src/lightning_app/components/serve/python_server.py
+++ b/src/lightning_app/components/serve/python_server.py
@@ -142,7 +142,6 @@ class Number(BaseModel):
 
 
 class PythonServer(LightningWork, abc.ABC):
-
     _start_method = "spawn"
 
     @requires(["torch"])
diff --git a/src/lightning_app/core/api.py b/src/lightning_app/core/api.py
index 51b57b2c73..6a9f4e0722 100644
--- a/src/lightning_app/core/api.py
+++ b/src/lightning_app/core/api.py
@@ -417,7 +417,6 @@ def register_global_routes():
 
 
 class LightningUvicornServer(uvicorn.Server):
-
     has_started_queue = None
 
     def run(self, sockets=None):
diff --git a/src/lightning_app/core/flow.py b/src/lightning_app/core/flow.py
index ee2931a6af..f5782ff451 100644
--- a/src/lightning_app/core/flow.py
+++ b/src/lightning_app/core/flow.py
@@ -18,7 +18,6 @@ from lightning_app.utilities.packaging.cloud_compute import _maybe_create_cloud_
 
 
 class LightningFlow:
-
     _INTERNAL_STATE_VARS = {
         # Internal protected variables that are still part of the state (even though they are prefixed with "_")
         "_paths",
diff --git a/src/lightning_app/core/work.py b/src/lightning_app/core/work.py
index 863d50db47..e587b050b5 100644
--- a/src/lightning_app/core/work.py
+++ b/src/lightning_app/core/work.py
@@ -38,7 +38,6 @@ if TYPE_CHECKING:
 
 
 class LightningWork:
-
     _INTERNAL_STATE_VARS = (
         # Internal protected variables that are still part of the state (even though they are prefixed with "_")
         "_paths",
diff --git a/src/lightning_app/runners/cloud.py b/src/lightning_app/runners/cloud.py
index 9892060c32..2d7318a3ef 100644
--- a/src/lightning_app/runners/cloud.py
+++ b/src/lightning_app/runners/cloud.py
@@ -196,7 +196,6 @@ def _generate_works_json_gallery(filepath: str) -> str:
 
 @dataclass
 class CloudRuntime(Runtime):
-
     backend: Union[str, CloudBackend] = "cloud"
 
     def dispatch(
diff --git a/src/lightning_app/runners/multiprocess.py b/src/lightning_app/runners/multiprocess.py
index e5d34fb768..86c81b8793 100644
--- a/src/lightning_app/runners/multiprocess.py
+++ b/src/lightning_app/runners/multiprocess.py
@@ -21,7 +21,6 @@ from lightning_app.utilities.port import disable_port
 
 @dataclass
 class MultiProcessRuntime(Runtime):
-
     """Runtime to launch the LightningApp into multiple processes.
 
     The MultiProcessRuntime will generate 1 process for each :class:`~lightning_app.core.work.LightningWork` and attach
diff --git a/src/lightning_app/runners/runtime.py b/src/lightning_app/runners/runtime.py
index 19cd1a1610..7a70bc43e2 100644
--- a/src/lightning_app/runners/runtime.py
+++ b/src/lightning_app/runners/runtime.py
@@ -156,7 +156,6 @@ class Runtime:
         raise NotImplementedError
 
     def _add_stopped_status_to_work(self, work: "lightning_app.LightningWork") -> None:
-
         if work.status.stage == WorkStageStatus.STOPPED:
             return
 
diff --git a/src/lightning_app/storage/drive.py b/src/lightning_app/storage/drive.py
index 7b6f268ffe..0a7656a894 100644
--- a/src/lightning_app/storage/drive.py
+++ b/src/lightning_app/storage/drive.py
@@ -11,7 +11,6 @@ from lightning_app.utilities.component import _is_flow_context
 
 
 class Drive:
-
     __IDENTIFIER__ = "__drive__"
     __PROTOCOLS__ = ["lit://"]
 
diff --git a/src/lightning_app/storage/mount.py b/src/lightning_app/storage/mount.py
index 3c520f6ba0..a3073751a7 100644
--- a/src/lightning_app/storage/mount.py
+++ b/src/lightning_app/storage/mount.py
@@ -26,7 +26,6 @@ class Mount:
     mount_path: str = ""
 
     def __post_init__(self) -> None:
-
         for protocol in __MOUNT_PROTOCOLS__:
             if self.source.startswith(protocol):
                 protocol = protocol
diff --git a/src/lightning_app/storage/payload.py b/src/lightning_app/storage/payload.py
index 29789d31fc..eba89988d3 100644
--- a/src/lightning_app/storage/payload.py
+++ b/src/lightning_app/storage/payload.py
@@ -243,7 +243,6 @@ class _BasePayload(ABC):
 
 
 class Payload(_BasePayload):
-
     """The Payload object enables to transfer python objects from one work to another in a similar fashion as
     :class:`~lightning_app.storage.path.Path`."""
 
diff --git a/src/lightning_app/utilities/app_helpers.py b/src/lightning_app/utilities/app_helpers.py
index d9efeb6862..5f9399ae11 100644
--- a/src/lightning_app/utilities/app_helpers.py
+++ b/src/lightning_app/utilities/app_helpers.py
@@ -407,7 +407,6 @@ class LightningJSONEncoder(json.JSONEncoder):
 
 
 class Logger:
-
     """This class is used to improve the debugging experience."""
 
     def __init__(self, name: str):
diff --git a/src/lightning_app/utilities/commands/base.py b/src/lightning_app/utilities/commands/base.py
index 947456d8e4..8b0abd210b 100644
--- a/src/lightning_app/utilities/commands/base.py
+++ b/src/lightning_app/utilities/commands/base.py
@@ -36,7 +36,6 @@ def makedirs(path: str):
 
 
 class ClientCommand:
-
     description: str = ""
     requirements: List[str] = []
 
diff --git a/src/lightning_app/utilities/imports.py b/src/lightning_app/utilities/imports.py
index 19978fcf5d..7b8158e9b9 100644
--- a/src/lightning_app/utilities/imports.py
+++ b/src/lightning_app/utilities/imports.py
@@ -46,7 +46,6 @@ def _get_extras(extras: str) -> str:
 
 
 def requires(module_paths: Union[str, List]):
-
     if not isinstance(module_paths, list):
         module_paths = [module_paths]
 
diff --git a/src/lightning_app/utilities/introspection.py b/src/lightning_app/utilities/introspection.py
index eb77a2fff8..19bd72e20c 100644
--- a/src/lightning_app/utilities/introspection.py
+++ b/src/lightning_app/utilities/introspection.py
@@ -269,7 +269,6 @@ class LightningProfilerVisitor(LightningVisitor):
 
 
 class Scanner:
-
     """
     Finds relevant Lightning objects in files in the file system.
     Attributes
diff --git a/src/lightning_app/utilities/proxies.py b/src/lightning_app/utilities/proxies.py
index 2e7dc6ce7e..0e6c23ed6c 100644
--- a/src/lightning_app/utilities/proxies.py
+++ b/src/lightning_app/utilities/proxies.py
@@ -341,7 +341,6 @@ class ComponentDelta:
 
 @dataclass
 class WorkRunExecutor:
-
     work: "LightningWork"
     work_run: Callable
     delta_queue: "BaseQueue"
diff --git a/src/lightning_app/utilities/state.py b/src/lightning_app/utilities/state.py
index 775fa49ddd..80b56b6fbd 100644
--- a/src/lightning_app/utilities/state.py
+++ b/src/lightning_app/utilities/state.py
@@ -35,7 +35,6 @@ def headers_for(context: Dict[str, str]) -> Dict[str, str]:
 
 
 class AppState:
-
     _APP_PRIVATE_KEYS: Tuple[str, ...] = (
         "_host",
         "_session_id",
diff --git a/src/lightning_fabric/fabric.py b/src/lightning_fabric/fabric.py
index 978cc368d2..ffec6f705e 100644
--- a/src/lightning_fabric/fabric.py
+++ b/src/lightning_fabric/fabric.py
@@ -413,8 +413,7 @@ class Fabric:
     def all_gather(
         self, data: Union[Tensor, Dict, List, Tuple], group: Optional[Any] = None, sync_grads: bool = False
     ) -> Union[Tensor, Dict, List, Tuple]:
-        r"""
-        Gather tensors or collections of tensors from multiple processes.
+        r"""Gather tensors or collections of tensors from multiple processes.
 
         Args:
             data: int, float, tensor of shape (batch, ...), or a (possibly nested) collection thereof.
diff --git a/src/lightning_fabric/strategies/deepspeed.py b/src/lightning_fabric/strategies/deepspeed.py
index b94c94de44..3b3379c730 100644
--- a/src/lightning_fabric/strategies/deepspeed.py
+++ b/src/lightning_fabric/strategies/deepspeed.py
@@ -596,7 +596,6 @@ class DeepSpeedStrategy(DDPStrategy, _Sharded):
         import deepspeed
 
         def load(module: torch.nn.Module, prefix: str = "") -> None:
-
             missing_keys: List[str] = []
             unexpected_keys: List[str] = []
             error_msgs: List[str] = []
diff --git a/src/lightning_fabric/strategies/launchers/subprocess_script.py b/src/lightning_fabric/strategies/launchers/subprocess_script.py
index 54df6530c1..61a72bf652 100644
--- a/src/lightning_fabric/strategies/launchers/subprocess_script.py
+++ b/src/lightning_fabric/strategies/launchers/subprocess_script.py
@@ -25,8 +25,7 @@ _HYDRA_AVAILABLE = RequirementCache("hydra-core")
 
 
 class _SubprocessScriptLauncher(_Launcher):
-    r"""
-    A process laucher that invokes the current script as many times as desired in a single node.
+    r"""A process laucher that invokes the current script as many times as desired in a single node.
 
     This launcher needs to be invoked on each node.
     In its default behavior, the main process in each node then spawns N-1 child processes via :func:`subprocess.Popen`,
diff --git a/src/pytorch_lightning/core/module.py b/src/pytorch_lightning/core/module.py
index 2402bedbe9..cf86a4ccb7 100644
--- a/src/pytorch_lightning/core/module.py
+++ b/src/pytorch_lightning/core/module.py
@@ -1779,7 +1779,7 @@ class LightningModule(
                 split_x: Union[Tensor, List[Tensor]]
                 if isinstance(x, Tensor):
                     split_x = x[:, t : t + split_size]
-                elif isinstance(x, collections.Sequence):
+                elif isinstance(x, collections.abc.Sequence):
                     split_x = [x[batch_idx][t : t + split_size] for batch_idx in range(len(x))]
 
                 batch_split.append(split_x)
diff --git a/tests/tests_fabric/utilities/test_optimizer.py b/tests/tests_fabric/utilities/test_optimizer.py
index 5473ca0f4c..9422af0fb1 100644
--- a/tests/tests_fabric/utilities/test_optimizer.py
+++ b/tests/tests_fabric/utilities/test_optimizer.py
@@ -25,7 +25,7 @@ def assert_opt_parameters_on_device(opt, device: str):
         # Not sure there are any global tensors in the state dict
         if isinstance(param, Tensor):
             assert param.data.device.type == device
-        elif isinstance(param, collections.Mapping):
+        elif isinstance(param, collections.abc.Mapping):
             for subparam in param.values():
                 if isinstance(subparam, Tensor):
                     assert param.data.device.type == device