diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 82e47588f..a9131a749 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -12,11 +12,11 @@ ci:
 
 repos:
 -   repo: https://github.com/psf/black
-    rev: 23.10.0
+    rev: 24.1.1
     hooks:
     -   id: black
 -   repo: https://github.com/PyCQA/isort
-    rev: 5.12.0
+    rev: 5.13.2
     hooks:
     -   id: isort
         additional_dependencies: [tomli] # to read config from pyproject.toml
diff --git a/geoapps/block_model_creation/driver.py b/geoapps/block_model_creation/driver.py
index 5463819db..dc231b131 100644
--- a/geoapps/block_model_creation/driver.py
+++ b/geoapps/block_model_creation/driver.py
@@ -47,9 +47,9 @@ def truncate_locs_depths(locs: np.ndarray, depth_core: float) -> np.ndarray:
         zmax = locs[:, -1].max()  # top of locs
         below_core_ind = (zmax - locs[:, -1]) > depth_core
         core_bottom_elev = zmax - depth_core
-        locs[
-            below_core_ind, -1
-        ] = core_bottom_elev  # sets locations below core to core bottom
+        locs[below_core_ind, -1] = (
+            core_bottom_elev  # sets locations below core to core bottom
+        )
         return locs
 
     @staticmethod
diff --git a/geoapps/inversion/base_inversion_application.py b/geoapps/inversion/base_inversion_application.py
index 7f47fc7e4..bbb7a23ae 100644
--- a/geoapps/inversion/base_inversion_application.py
+++ b/geoapps/inversion/base_inversion_application.py
@@ -1362,14 +1362,10 @@ def get_full_component_params(
                         param_dict[comp + "_uncertainty"] = value["uncertainty_floor"]
                     elif value["uncertainty_type"] == "Channel":
                         if is_uuid(value["uncertainty_channel"]):
-                            param_dict[
-                                comp + "_uncertainty"
-                            ] = self.workspace.get_entity(
-                                uuid.UUID(value["uncertainty_channel"])
-                            )[
-                                0
-                            ].copy(
-                                parent=data_object, copy_children=False
+                            param_dict[comp + "_uncertainty"] = (
+                                self.workspace.get_entity(
+                                    uuid.UUID(value["uncertainty_channel"])
+                                )[0].copy(parent=data_object, copy_children=False)
                             )
             else:
                 param_dict[comp + "_channel_bool"] = False
diff --git a/geoapps/inversion/components/factories/directives_factory.py b/geoapps/inversion/components/factories/directives_factory.py
index 79579f06e..7c229265f 100644
--- a/geoapps/inversion/components/factories/directives_factory.py
+++ b/geoapps/inversion/components/factories/directives_factory.py
@@ -185,9 +185,11 @@ def update_irls_directive(self):
                 coolEps_q=self.params.coolEps_q,
                 coolEpsFact=self.params.coolEpsFact,
                 beta_search=self.params.beta_search,
-                chifact_start=self.params.starting_chi_factor
-                if has_chi_start
-                else self.params.chi_factor,
+                chifact_start=(
+                    self.params.starting_chi_factor
+                    if has_chi_start
+                    else self.params.chi_factor
+                ),
                 chifact_target=self.params.chi_factor,
             )
         return self._update_irls_directive
diff --git a/geoapps/inversion/components/factories/survey_factory.py b/geoapps/inversion/components/factories/survey_factory.py
index 7dfabde77..c595d3a2f 100644
--- a/geoapps/inversion/components/factories/survey_factory.py
+++ b/geoapps/inversion/components/factories/survey_factory.py
@@ -230,9 +230,9 @@ def _add_data(self, survey, data, local_index, channel):
             data_vec = self._stack_channels(local_data, "row")
             uncertainty_vec = self._stack_channels(local_uncertainties, "row")
             uncertainty_vec[np.isnan(data_vec)] = np.inf
-            data_vec[
-                np.isnan(data_vec)
-            ] = self.dummy  # Nan's handled by inf uncertainties
+            data_vec[np.isnan(data_vec)] = (
+                self.dummy
+            )  # Nan's handled by inf uncertainties
             survey.dobs = data_vec
             survey.std = uncertainty_vec
 
@@ -250,9 +250,9 @@ def _add_data(self, survey, data, local_index, channel):
             data_vec = self._stack_channels(local_data, "column")
             uncertainty_vec = self._stack_channels(local_uncertainties, "column")
             uncertainty_vec[np.isnan(data_vec)] = np.inf
-            data_vec[
-                np.isnan(data_vec)
-            ] = self.dummy  # Nan's handled by inf uncertainties
+            data_vec[np.isnan(data_vec)] = (
+                self.dummy
+            )  # Nan's handled by inf uncertainties
             survey.dobs = data_vec
             survey.std = uncertainty_vec
 
diff --git a/geoapps/inversion/electromagnetics/application.py b/geoapps/inversion/electromagnetics/application.py
index 6d23d8040..724eafcbc 100644
--- a/geoapps/inversion/electromagnetics/application.py
+++ b/geoapps/inversion/electromagnetics/application.py
@@ -1212,9 +1212,9 @@ def write_trigger(self, _):
         if self.inversion_parameters.beta_start_options.value == "value":
             input_dict["initial_beta"] = self.inversion_parameters.beta_start.value
         else:
-            input_dict[
-                "initial_beta_ratio"
-            ] = self.inversion_parameters.beta_start.value
+            input_dict["initial_beta_ratio"] = (
+                self.inversion_parameters.beta_start.value
+            )
 
         input_dict["tol_cg"] = self.inversion_parameters.tol_cg.value
         input_dict["ignore_values"] = self.inversion_parameters.ignore_values.value
diff --git a/geoapps/utils/models.py b/geoapps/utils/models.py
index 3827f2ea2..861cc32a9 100644
--- a/geoapps/utils/models.py
+++ b/geoapps/utils/models.py
@@ -425,9 +425,9 @@ def truncate_locs_depths(locs: np.ndarray, depth_core: int) -> np.ndarray:
     zmax = locs[:, 2].max()  # top of locs
     below_core_ind = (zmax - locs[:, 2]) > depth_core
     core_bottom_elev = zmax - depth_core
-    locs[
-        below_core_ind, 2
-    ] = core_bottom_elev  # sets locations below core to core bottom
+    locs[below_core_ind, 2] = (
+        core_bottom_elev  # sets locations below core to core bottom
+    )
     return locs