diff --git a/project/00_0_0_lftp_upload_commands.ipynb b/project/00_0_0_lftp_upload_commands.ipynb
index 1d9ae4337..3ea94597a 100644
--- a/project/00_0_0_lftp_upload_commands.ipynb
+++ b/project/00_0_0_lftp_upload_commands.ipynb
@@ -113,7 +113,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "meta_stats = df_meta.describe(include='all', datetime_is_numeric=True)\n",
+    "meta_stats = df_meta.describe(include='all')\n",
     "meta_stats.T"
    ]
   },
diff --git a/project/00_0_0_lftp_upload_commands.py b/project/00_0_0_lftp_upload_commands.py
index 17cc26be2..03b71f264 100644
--- a/project/00_0_0_lftp_upload_commands.py
+++ b/project/00_0_0_lftp_upload_commands.py
@@ -71,7 +71,7 @@ def rename(fname, new_sample_id, new_folder=None, ext=None):
 
 
 # %%
-meta_stats = df_meta.describe(include='all', datetime_is_numeric=True)
+meta_stats = df_meta.describe(include='all')
 meta_stats.T
 
 # %% [markdown]
diff --git a/project/00_0_hela_metadata_rawfiles.ipynb b/project/00_0_hela_metadata_rawfiles.ipynb
index 3971259e4..b4ca77ca5 100644
--- a/project/00_0_hela_metadata_rawfiles.ipynb
+++ b/project/00_0_hela_metadata_rawfiles.ipynb
@@ -101,7 +101,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "meta_stats = df_meta_rawfiles.describe(include='all', datetime_is_numeric=True)\n",
+    "meta_stats = df_meta_rawfiles.describe(include='all')\n",
     "meta_stats.T"
    ]
   },
diff --git a/project/00_0_hela_metadata_rawfiles.py b/project/00_0_hela_metadata_rawfiles.py
index 03a501db0..2241611e8 100644
--- a/project/00_0_hela_metadata_rawfiles.py
+++ b/project/00_0_hela_metadata_rawfiles.py
@@ -58,7 +58,7 @@
 print(msg)
 
 # %%
-meta_stats = df_meta_rawfiles.describe(include='all', datetime_is_numeric=True)
+meta_stats = df_meta_rawfiles.describe(include='all')
 meta_stats.T
 
 # %% [markdown]
diff --git a/project/00_3_1_pride_metadata_analysis.ipynb b/project/00_3_1_pride_metadata_analysis.ipynb
index d68e970a9..54452b7d9 100644
--- a/project/00_3_1_pride_metadata_analysis.ipynb
+++ b/project/00_3_1_pride_metadata_analysis.ipynb
@@ -177,7 +177,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "meta_stats = df_meta.describe(include='all', datetime_is_numeric=True)\n",
+    "meta_stats = df_meta.describe(include='all')\n",
     "meta_stats.T.to_excel(excel_writer, sheet_name='des_stats', **writer_args)\n",
     "\n",
     "view = meta_stats.loc[:, (meta_stats.loc['unique'] > 1)\n",
diff --git a/project/00_3_1_pride_metadata_analysis.py b/project/00_3_1_pride_metadata_analysis.py
index c6ad55d12..105a82d7a 100644
--- a/project/00_3_1_pride_metadata_analysis.py
+++ b/project/00_3_1_pride_metadata_analysis.py
@@ -103,7 +103,7 @@
 # ## Varying data between runs
 
 # %%
-meta_stats = df_meta.describe(include='all', datetime_is_numeric=True)
+meta_stats = df_meta.describe(include='all')
 meta_stats.T.to_excel(excel_writer, sheet_name='des_stats', **writer_args)
 
 view = meta_stats.loc[:, (meta_stats.loc['unique'] > 1)
diff --git a/project/01_0_split_data.ipynb b/project/01_0_split_data.ipynb
index 32cdb3713..ed62a0e31 100644
--- a/project/01_0_split_data.ipynb
+++ b/project/01_0_split_data.ipynb
@@ -327,8 +327,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "df_meta.describe(datetime_is_numeric=True,\n",
-    "                 percentiles=np.linspace(0.05, 0.95, 10))"
+    "df_meta.describe(percentiles=np.linspace(0.05, 0.95, 10))"
    ]
   },
   {
@@ -373,7 +372,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "meta_stats = df_meta.describe(include='all', datetime_is_numeric=True)\n",
+    "meta_stats = df_meta.describe(include='all')\n",
     "meta_stats"
    ]
   },
@@ -697,7 +696,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "pcs.describe(include='all', datetime_is_numeric=True).T"
+    "pcs.describe(include='all').T"
    ]
   },
   {
diff --git a/project/01_0_split_data.py b/project/01_0_split_data.py
index 6b5e19770..fc41e698f 100644
--- a/project/01_0_split_data.py
+++ b/project/01_0_split_data.py
@@ -227,8 +227,7 @@ def join_as_str(seq):
 
 
 # %%
-df_meta.describe(datetime_is_numeric=True,
-                 percentiles=np.linspace(0.05, 0.95, 10))
+df_meta.describe(percentiles=np.linspace(0.05, 0.95, 10))
 
 # %% [markdown]
 # select samples with a minimum retention time
@@ -251,7 +250,7 @@ def join_as_str(seq):
 df_meta = df_meta.sort_values(params.meta_date_col)
 
 # %%
-meta_stats = df_meta.describe(include='all', datetime_is_numeric=True)
+meta_stats = df_meta.describe(include='all')
 meta_stats
 
 # %% [markdown]
@@ -434,7 +433,7 @@ def join_as_str(seq):
 pcs
 
 # %%
-pcs.describe(include='all', datetime_is_numeric=True).T
+pcs.describe(include='all').T
 
 # %%
 if params.meta_cat_col:
diff --git a/setup.cfg b/setup.cfg
index 4e33952ce..9ac3edd9e 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -22,9 +22,9 @@ include_package_data = True
 install_requires =
     numpy
     matplotlib
-    pandas<2
+    pandas
     plotly
-    torch<2
+    torch
     scikit-learn>=1.0
     scipy
     seaborn
diff --git a/vaep/pandas/__init__.py b/vaep/pandas/__init__.py
index b10ce763a..489765682 100644
--- a/vaep/pandas/__init__.py
+++ b/vaep/pandas/__init__.py
@@ -73,7 +73,7 @@ def unique_cols(s: pd.Series) -> bool:
 
 
 def show_columns_with_variation(df: pd.DataFrame) -> pd.DataFrame:
-    df_describe = df.describe(include='all', datetime_is_numeric=True)
+    df_describe = df.describe(include='all')
     col_mask = (df_describe.loc['unique'] > 1) | (
         df_describe.loc['std'] > 0.01)
     return df.loc[:, col_mask]