diff --git a/nenupy/io/tf.py b/nenupy/io/tf.py
index 364099e..d58b89d 100644
--- a/nenupy/io/tf.py
+++ b/nenupy/io/tf.py
@@ -95,11 +95,12 @@ class TFTask:
 
     """
 
-    def __init__(self, name: str, func: Callable, args_to_update: List[str] = []):
+    def __init__(self, name: str, func: Callable, args_to_update: List[str] = [], repeatable: bool = False):
         self.name = name
         self.is_active = False
         self._func = func
         self.args_to_update = args_to_update
+        self.repeatable = repeatable
         self._extra_params = {}
 
     def __repr__(self) -> str:
@@ -118,7 +119,7 @@ def correct_bandpass(cls):
         def wrapper_task(data, channels):
             return utils.correct_bandpass(data=data, n_channels=channels)
 
-        return cls("Correct bandpass", wrapper_task, ["channels"])
+        return cls("Correct bandpass", wrapper_task, ["channels"], repeatable=False)
 
     @classmethod
     def remove_channels(cls):
@@ -132,7 +133,7 @@ def wrapper_task(data, channels, remove_channels):
             )
 
         return cls(
-            "Remove subband channels", wrapper_task, ["channels", "remove_channels"]
+            "Remove subband channels", wrapper_task, ["channels", "remove_channels"], repeatable=False
         )
 
     @classmethod
@@ -176,6 +177,7 @@ def wrapper_task(
                 "dreambeam_dt",
                 "dreambeam_parallactic",
             ],
+            repeatable=False
         )
 
     @classmethod
@@ -191,7 +193,7 @@ def apply_faraday(frequency_hz, data, rotation_measure):
                 rotation_measure=rotation_measure,
             )
 
-        return cls("Correct faraday rotation", apply_faraday, ["rotation_measure"])
+        return cls("Correct faraday rotation", apply_faraday, ["rotation_measure"], repeatable=False)
 
     @classmethod
     def de_disperse(cls):
@@ -235,6 +237,7 @@ def wrapper_task(
             "De-disperse",
             wrapper_task,
             ["dt", "dispersion_measure", "ignore_volume_warning"],
+            repeatable=False
         )
 
     @classmethod
@@ -251,7 +254,7 @@ def rebin_time(time_unix, data, dt, rebin_dt):
                 new_dx=rebin_dt.to_value(u.s),
             )
 
-        return cls("Rebin in time", rebin_time, ["dt", "rebin_dt"])
+        return cls("Rebin in time", rebin_time, ["dt", "rebin_dt"], repeatable=True)
 
     @classmethod
     def frequency_rebin(cls):
@@ -267,7 +270,7 @@ def rebin_freq(frequency_hz, data, df, rebin_df):
                 new_dx=rebin_df.to_value(u.Hz),
             )
 
-        return cls("Rebin in frequency", rebin_freq, ["df", "rebin_df"])
+        return cls("Rebin in frequency", rebin_freq, ["df", "rebin_df"], repeatable=True)
 
     @classmethod
     def get_stokes(cls):
@@ -276,7 +279,7 @@ def compute_stokes(data, stokes):
                 return data
             return utils.compute_stokes_parameters(data_array=data, stokes=stokes)
 
-        return cls("Compute Stokes parameters", compute_stokes, ["stokes"])
+        return cls("Compute Stokes parameters", compute_stokes, ["stokes"], repeatable=False)
 
     def update(self, parameters: utils.TFPipelineParameters) -> None:
         log.debug(f"Updating TFTask {self.name} parameters before running it.")
@@ -458,6 +461,9 @@ def insert(self, operation: TFTask, index: int) -> None:
         """
         if operation.__class__.__name__ != TFTask.__name__:
             raise TypeError(f"Tried to append {type(operation)} instead of {TFTask}.")
+        if self.contains(operation.name) and (not operation.repeatable):
+            log.warning(f"{operation} is already registered in the pipeline and is not repeatable.")
+            return
         self.tasks.insert(index, operation)
 
     def append(self, operation: TFTask) -> None:
@@ -475,6 +481,9 @@ def append(self, operation: TFTask) -> None:
         """
         if operation.__class__.__name__ != TFTask.__name__:
             raise TypeError(f"Tried to append {type(operation)} instead of {TFTask}.")
+        if self.contains(operation.name) and (not operation.repeatable):
+            log.warning(f"{operation} is already registered in the pipeline and is not repeatable.")
+            return
         self.tasks.append(operation)
 
     def remove(self, *args: Union[str, int]) -> None: