diff --git a/.coveragerc b/.coveragerc
index c390dd11..ba60896d 100644
--- a/.coveragerc
+++ b/.coveragerc
@@ -5,7 +5,6 @@ branch = True
 source = celer
 include = */celer/*
 omit = */setup.py
-       */celer/plot_utils.py
 
 [report]
 exclude_lines =
diff --git a/celer/plot_utils.py b/celer/plot_utils.py
deleted file mode 100644
index 28a173de..00000000
--- a/celer/plot_utils.py
+++ /dev/null
@@ -1,30 +0,0 @@
-# Author: Mathurin Massias <mathurin.massias@gmail.com>
-#         Alexandre Gramfort <alexandre.gramfort@inria.fr>
-#         Joseph Salmon <joseph.salmon@telecom-paristech.fr>
-# License: BSD 3 clause
-
-import matplotlib
-import matplotlib.pyplot as plt
-import seaborn as sns
-
-from matplotlib import rc
-
-C_LIST = sns.color_palette("colorblind", 8)
-C_LIST_DARK = sns.color_palette("dark", 8)
-
-
-def configure_plt(fontsize=12):
-    rc('font', **{'family': 'sans-serif',
-                  'sans-serif': ['Computer Modern Roman']})
-    usetex = matplotlib.checkdep_usetex(True)
-    params = {'axes.labelsize': fontsize,
-              'font.size': fontsize,
-              'legend.fontsize': fontsize,
-              'xtick.labelsize': fontsize - 2,
-              'ytick.labelsize': fontsize - 2,
-              'text.usetex': usetex,
-              'figure.figsize': (8, 6)}
-    plt.rcParams.update(params)
-
-    sns.set_palette('colorblind')
-    sns.set_style("ticks")
diff --git a/examples/plot_group_lasso.py b/examples/plot_group_lasso.py
index f7c87fea..6405684d 100644
--- a/examples/plot_group_lasso.py
+++ b/examples/plot_group_lasso.py
@@ -11,10 +11,8 @@
 
 from celer import GroupLassoCV, LassoCV
 from celer.datasets import make_correlated_data
-from celer.plot_utils import configure_plt
 
 print(__doc__)
-configure_plt(fontsize=16)
 
 # Generating X, y, and true regression coefs with 4 groups of 5 non-zero values
 
diff --git a/examples/plot_lasso_cv.py b/examples/plot_lasso_cv.py
index c182ff5e..23bd3e2b 100644
--- a/examples/plot_lasso_cv.py
+++ b/examples/plot_lasso_cv.py
@@ -14,10 +14,8 @@
 from sklearn.model_selection import KFold
 
 from celer import LassoCV
-from celer.plot_utils import configure_plt
 
 print(__doc__)
-configure_plt()
 
 print("Loading data...")
 dataset = fetch_openml("leukemia")
diff --git a/pyproject.toml b/pyproject.toml
index ba5abfda..d3637b2a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,8 +6,7 @@ build-backend = "setuptools.build_meta"
 [project]
 name = "celer"
 dependencies =[
-    'seaborn>=0.7', 'matplotlib>=2.0.0', 'libsvmdata>=0.3',
-    'scikit-learn>=1.0', 'xarray', 'download', 'tqdm'
+    'libsvmdata>=0.3', 'scikit-learn>=1.0', 'xarray', 'download', 'tqdm'
 ]
 description = "A fast algorithm with dual extrapolation for sparse problems"
 authors = [
@@ -29,6 +28,6 @@ repository = "https://github.com/mathurinm/celer.git"
 
 [project.optional-dependencies]
 doc = [
-    "numpydoc", "pandas", "pillow",
+    "numpydoc", "pandas", "pillow", "matplotlib",
     "furo", "sphinx-copybutton", "sphinx-gallery"
-]
\ No newline at end of file
+]