diff --git a/pyopenms_viz/__init__.py b/pyopenms_viz/__init__.py
index 7d24a4725..d11a5931d 100644
--- a/pyopenms_viz/__init__.py
+++ b/pyopenms_viz/__init__.py
@@ -10,6 +10,7 @@
 import types
 from pathlib import Path
 from ._core import plot_chromatogram, plot_spectrum, plot_mobilogram, plot_peakmap
+from . import _pandas_accessor  # noqa: F401
 
 __version__ = "1.0.1"
 
diff --git a/pyopenms_viz/_pandas_accessor.py b/pyopenms_viz/_pandas_accessor.py
new file mode 100644
index 000000000..5316c4a30
--- /dev/null
+++ b/pyopenms_viz/_pandas_accessor.py
@@ -0,0 +1,15 @@
+import pandas as pd
+
+@pd.api.extensions.register_dataframe_accessor("ms_plot")
+class PandasPlotAccessor:
+    """
+    Registers a custom '.ms_plot' namespace for Pandas DataFrames.
+    This provides a unified API syntax alongside the Polars integration.
+    """
+    def __init__(self, pandas_obj):
+        self._df = pandas_obj
+
+    def __call__(self, *args, **kwargs):
+        # Delegate directly to the native pandas plot method.
+        # This ensures all existing ms_* backends and entry points work perfectly.
+        return self._df.plot(*args, **kwargs)
\ No newline at end of file
diff --git a/test/__snapshots__/test_pandas_accessor/test_pandas_ms_plot_snapshot.json b/test/__snapshots__/test_pandas_accessor/test_pandas_ms_plot_snapshot.json
new file mode 100644
index 000000000..5408197e5
--- /dev/null
+++ b/test/__snapshots__/test_pandas_accessor/test_pandas_ms_plot_snapshot.json
@@ -0,0 +1,1090 @@
+{
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+      "line": {
+        "color": "#4575B4"
+      },
+      "mode": "lines",
+      "x": [
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+        100.1,
+        100.1,
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+        100.2,
+        100.2,
+        105.0,
+        105.0,
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+        105.1,
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+        105.1
+      ],
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+      "customdata": [
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+          10.0
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+          10.0
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+        [
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+          100.2,
+          50.0
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+          100.2,
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+      "hovertemplate": "m\u002fz: %{customdata[0]}\u003cbr\u003eintensity: %{customdata[1]}"
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+        "bar": [
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+          {
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+        ],
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+          {
+            "type": "scattergl",
+            "marker": {
+              "colorbar": {
+                "outlinewidth": 0,
+                "ticks": ""
+              }
+            }
+          }
+        ],
+        "scatter3d": [
+          {
+            "type": "scatter3d",
+            "line": {
+              "colorbar": {
+                "outlinewidth": 0,
+                "ticks": ""
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+            "marker": {
+              "colorbar": {
+                "outlinewidth": 0,
+                "ticks": ""
+              }
+            }
+          }
+        ],
+        "scattermapbox": [
+          {
+            "type": "scattermapbox",
+            "marker": {
+              "colorbar": {
+                "outlinewidth": 0,
+                "ticks": ""
+              }
+            }
+          }
+        ],
+        "scatterternary": [
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+            "type": "scatterternary",
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+        ],
+        "scattercarpet": [
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+            "type": "scattercarpet",
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+              "colorbar": {
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+          }
+        ],
+        "carpet": [
+          {
+            "aaxis": {
+              "endlinecolor": "#2a3f5f",
+              "gridcolor": "white",
+              "linecolor": "white",
+              "minorgridcolor": "white",
+              "startlinecolor": "#2a3f5f"
+            },
+            "baxis": {
+              "endlinecolor": "#2a3f5f",
+              "gridcolor": "white",
+              "linecolor": "white",
+              "minorgridcolor": "white",
+              "startlinecolor": "#2a3f5f"
+            },
+            "type": "carpet"
+          }
+        ],
+        "table": [
+          {
+            "cells": {
+              "fill": {
+                "color": "#EBF0F8"
+              },
+              "line": {
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+            "header": {
+              "fill": {
+                "color": "#C8D4E3"
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+              "line": {
+                "color": "white"
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+            "type": "table"
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+        ],
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+        "ternary": {
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+              "#e6f5d0"
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+            [
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+              "#b8e186"
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+            [
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+              "#7fbc41"
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+            "gridcolor": "white",
+            "linecolor": "white",
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+          "subunitcolor": "white",
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+        "mapbox": {
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+      }
+    }
+  }
+}
\ No newline at end of file
diff --git a/test/test_pandas_accessor.py b/test/test_pandas_accessor.py
new file mode 100644
index 000000000..c2e58ddf8
--- /dev/null
+++ b/test/test_pandas_accessor.py
@@ -0,0 +1,40 @@
+import pandas as pd
+
+def test_pandas_ms_plot_snapshot(snapshot):
+    """
+    Test that the new Pandas ms_plot() accessor properly delegates
+    to the plotting backend and generates a stable figure across all backends.
+    """
+    data = {
+        "m/z": [100.1, 100.2, 105.0, 105.1],
+        "intensity": [10.0, 50.0, 100.0, 90.0]
+    }
+    
+    df_pd = pd.DataFrame(data)
+    
+    # Generate the figure using the NEW Pandas ms_plot accessor!
+    # Notice we do NOT pass backend="ms_plotly" here, so it respects the global conftest state.
+    out = df_pd.ms_plot(
+        kind="spectrum", 
+        x="m/z", 
+        y="intensity", 
+        show_plot=False
+    )
+
+    # 1. Matplotlib handling
+    if pd.options.plotting.backend == "ms_matplotlib":
+        fig = out.get_figure()
+        fig.tight_layout()
+        assert snapshot == out
+
+    # 2. Plotly handling (CodeRabbit Fix)
+    elif pd.options.plotting.backend == "ms_plotly":
+        # Convert to dictionary and strip version-sensitive template data
+        fig_dict = out.to_dict()
+        if "layout" in fig_dict and "template" in fig_dict["layout"]:
+            del fig_dict["layout"]["template"]
+        assert snapshot == fig_dict
+
+    # 3. Default handling (Bokeh, etc.)
+    else:
+        assert snapshot == out
\ No newline at end of file