diff --git a/poetry.lock b/poetry.lock
index fd11a0c..c1b423f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -5641,28 +5641,29 @@ files = [
 
 [[package]]
 name = "umap-learn"
-version = "0.5.7"
+version = "0.5.12"
 description = "Uniform Manifold Approximation and Projection"
 optional = false
-python-versions = "*"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "umap-learn-0.5.7.tar.gz", hash = "sha256:b2a97973e4c6ffcebf241100a8de589a4c84126a832ab40f296c6d9fcc5eb19e"},
-    {file = "umap_learn-0.5.7-py3-none-any.whl", hash = "sha256:6a7e0be2facfa365a5ed6588447102bdbef32a0ef449535c25c97ea7e680073c"},
+    {file = "umap_learn-0.5.12-py3-none-any.whl", hash = "sha256:f2a85d2a2adcb52b541bed9b27a23ca169b56bb1b23283abeebfb8dfb8a42fe5"},
+    {file = "umap_learn-0.5.12.tar.gz", hash = "sha256:6aff02ecac5f2aad9f3c65ee518d7ae93e1a985ae38721fdcffceee4232c33c7"},
 ]
 
 [package.dependencies]
 numba = ">=0.51.2"
-numpy = ">=1.17"
+numpy = ">=1.23"
 pynndescent = ">=0.5"
-scikit-learn = ">=0.22"
+scikit-learn = ">=1.6"
 scipy = ">=1.3.1"
 tqdm = "*"
 
 [package.extras]
 parametric-umap = ["tensorflow (>=2.1)"]
-plot = ["bokeh", "colorcet", "datashader", "holoviews", "matplotlib", "pandas", "scikit-image", "seaborn"]
+plot = ["bokeh", "colorcet", "dask", "datashader", "holoviews", "matplotlib", "pandas", "scikit-image", "seaborn"]
 tbb = ["tbb (>=2019.0)"]
+test = ["pytest"]
 
 [[package]]
 name = "urllib3"
@@ -6096,4 +6097,4 @@ propcache = ">=0.2.1"
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.10,<3.12"
-content-hash = "87fbda241637fae18be9a4491464e1fe9ea445e3a109fe18bddb742affd25668"
+content-hash = "c12edca4b02bfcb8ede0d5d8db50017f24f7b52b17b1eb5d23d83263c1287edf"
diff --git a/pyproject.toml b/pyproject.toml
index 08dd424..ad45022 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -34,7 +34,7 @@ datasets = "3.2.0" # dataset library from huggingface
 safetensors = "0.6.2" # safe tensor operations
 seaborn = "0.13.2" # data visualization library
 statsmodels = "0.14.4" # statistical models library
-umap-learn = "0.5.7" # dimensionality reduction library
+umap-learn = "0.5.12" # dimensionality reduction library
 hdbscan = "0.8.40" # clustering library
 plotly = "6.6.0" # interactive plotting library
 tensorboard = "2.20.0" # inspection tool for deep learning