diff --git a/saqc/lib/tools.py b/saqc/lib/tools.py
index 18d9048a7835b5b8498d825894bf62feab423538..030fb5ae1f8405c9481c5e6281e068061789ee1e 100644
--- a/saqc/lib/tools.py
+++ b/saqc/lib/tools.py
@@ -37,7 +37,9 @@ SAQC_OPERATORS = {
     "normScale": ts_ops.normScale,
     "meanStandardize": ts_ops.standardizeByMean,
     "medianStandardize": ts_ops.standardizeByMedian,
-    "zLog": ts_ops.zeroLog
+    "zLog": ts_ops.zeroLog,
+    "linear": ts_ops.linearInterpolation,
+    "polynomial": ts_ops.polynomialInterpolation
 }
 
 
diff --git a/saqc/lib/ts_operators.py b/saqc/lib/ts_operators.py
index d72dcf93408d06f1ebe6b5f1a26dddd40efc8ef5..5e7ed0b1c8da51f24ad89143906c4883d4210cfe 100644
--- a/saqc/lib/ts_operators.py
+++ b/saqc/lib/ts_operators.py
@@ -228,6 +228,14 @@ def interpolateNANs(data, method, order=2, inter_limit=2, downgrade_interpolatio
         return data
 
 
+def linearInterpolation(data, inter_limit=2):
+    return interpolateNANs(data, 'time', inter_limit=inter_limit)
+
+
+def polynomialInterpolation(data, inter_limit=2, inter_order=2):
+    return interpolateNANs(data, 'polynomial', inter_limit=inter_limit, order=inter_order)
+
+
 def leaderClustering(in_arr, ball_radius=None):
     x_len = in_arr.shape[0]
     x_cols = in_arr.shape[1]