diff --git a/Python/plotScope.py b/Python/plotScope.py
new file mode 100644
index 0000000..34b1bc3
--- /dev/null
+++ b/Python/plotScope.py
@@ -0,0 +1,194 @@
+import pandas as pd
+import plotly.graph_objects as go
+from plotly.subplots import make_subplots
+import tkinter as tk
+from tkinter import filedialog, messagebox
+
+# --------------------------------------------------
+# CSV einlesen
+# --------------------------------------------------
+def load_scope_csv(filename):
+
+    with open(filename, "r", encoding="utf-8", errors="ignore") as f:
+        lines = [line.strip() for line in f]
+
+    # Headerzeile suchen
+    header_idx = None
+    signal_names = []
+
+    for i, line in enumerate(lines):
+        if line.startswith("Name,ACTPOS"):
+            header_idx = i
+            cols = line.split(',')
+
+            # Signalnamen aus den "Name,<Signal>" Paaren holen
+            for j in range(0, len(cols), 2):
+                if j + 1 < len(cols):
+                    signal_names.append(cols[j + 1])
+
+            break
+
+    if header_idx is None:
+        raise Exception("Signaldefinition nicht gefunden")
+
+    # Datenblock suchen
+    data_start = None
+    for i in range(header_idx, len(lines)):
+        if lines[i].startswith("<br>"):
+            data_start = i + 1
+            break
+
+    if data_start is None:
+        raise Exception("Datenblock nicht gefunden")
+
+    numeric_rows = []
+
+    for line in lines[data_start:]:
+        if not line:
+            continue
+
+        if "<br>" in line:
+            continue
+
+        parts = line.split(",")
+
+        try:
+            float(parts[0])
+            numeric_rows.append(parts)
+        except:
+            continue
+
+    if not numeric_rows:
+        raise Exception("Keine Daten gefunden")
+
+    # Zeit + Kanäle aufbauen
+    time = []
+    signals = {name: [] for name in signal_names}
+
+    for row in numeric_rows:
+
+        time.append(float(row[0]))
+
+        idx = 1
+        for signal in signal_names:
+            signals[signal].append(float(row[idx]))
+            idx += 2
+
+    df = pd.DataFrame({"Time_ms": time})
+
+    for sig in signal_names:
+        df[sig] = signals[sig]
+
+    return df
+
+
+# --------------------------------------------------
+# Plot erstellen
+# --------------------------------------------------
+def create_plot():
+
+    selected = [name for name, var in signal_vars.items() if var.get()]
+
+    if not selected:
+        messagebox.showwarning("Hinweis", "Mindestens ein Signal auswählen.")
+        return
+
+    fig = go.Figure()
+
+    for signal in selected:
+        fig.add_trace(
+            go.Scatter(
+                x=df["Time_ms"],
+                y=df[signal],
+                mode="lines",
+                name=signal
+            )
+        )
+
+    # Y-Achse
+    if auto_scale_var.get():
+        y_range = None
+    else:
+        try:
+            ymin = float(ymin_entry.get())
+            ymax = float(ymax_entry.get())
+            y_range = [ymin, ymax]
+        except:
+            messagebox.showerror("Fehler", "Ungültige Y-Achsen Werte")
+            return
+
+    fig.update_layout(
+        title="TwinCAT Scope Daten",
+        xaxis_title="Zeit [ms]",
+        yaxis_title="Wert",
+        yaxis_range=y_range,
+        hovermode="x unified",
+        template="plotly_white"
+    )
+
+    fig.show()
+
+
+# --------------------------------------------------
+# Datei auswählen
+# --------------------------------------------------
+root = tk.Tk()
+root.withdraw()
+
+filename = filedialog.askopenfilename(
+    title="TwinCAT Scope CSV auswählen",
+    filetypes=[("CSV Dateien", "*.csv"), ("Alle Dateien", "*.*")]
+)
+
+if not filename:
+    raise SystemExit
+
+df = load_scope_csv(filename)
+
+# --------------------------------------------------
+# GUI
+# --------------------------------------------------
+root = tk.Tk()
+root.title("TwinCAT Scope Plotter")
+
+signal_vars = {}
+
+tk.Label(root, text="Signale auswählen").pack(anchor="w")
+
+for col in df.columns[1:]:
+    var = tk.BooleanVar(value=True)
+
+    tk.Checkbutton(
+        root,
+        text=col,
+        variable=var
+    ).pack(anchor="w")
+
+    signal_vars[col] = var
+
+auto_scale_var = tk.BooleanVar(value=True)
+
+tk.Checkbutton(
+    root,
+    text="Automatische Y-Skalierung",
+    variable=auto_scale_var
+).pack(anchor="w", pady=10)
+
+frame = tk.Frame(root)
+frame.pack()
+
+tk.Label(frame, text="Y-Min").grid(row=0, column=0)
+ymin_entry = tk.Entry(frame, width=10)
+ymin_entry.grid(row=0, column=1)
+
+tk.Label(frame, text="Y-Max").grid(row=0, column=2)
+ymax_entry = tk.Entry(frame, width=10)
+ymax_entry.grid(row=0, column=3)
+
+tk.Button(
+    root,
+    text="Plot anzeigen",
+    command=create_plot
+).pack(pady=10)
+
+root.mainloop()