diff --git a/plugins/processors/starlark/README.md b/plugins/processors/starlark/README.md
index 1194845ea1ad8..7afd9507a7b80 100644
--- a/plugins/processors/starlark/README.md
+++ b/plugins/processors/starlark/README.md
@@ -190,6 +190,7 @@ def failing(metric):
 - [multiple metrics](/plugins/processors/starlark/testdata/multiple_metrics.star) - Return multiple metrics by using [a list](https://docs.bazel.build/versions/master/skylark/lib/list.html) of metrics.
 - [multiple metrics from json array](/plugins/processors/starlark/testdata/multiple_metrics_with_json.star) - Builds a new metric from each element of a json array then returns all the created metrics.
 - [custom error](/plugins/processors/starlark/testdata/fail.star) - Return a custom error with [fail](https://docs.bazel.build/versions/master/skylark/lib/globals.html#fail).
+- [compare with previous metric](/plugins/processors/starlark/testdata/compare_metrics.star) - Compare the current metric with the previous one using the shared state.
 
 [All examples](/plugins/processors/starlark/testdata) are in the testdata folder.
 
diff --git a/plugins/processors/starlark/starlark.go b/plugins/processors/starlark/starlark.go
index 4835f06dee5a4..9a055ce56db6f 100644
--- a/plugins/processors/starlark/starlark.go
+++ b/plugins/processors/starlark/starlark.go
@@ -73,6 +73,9 @@ func (s *Starlark) Init() error {
 		return err
 	}
 
+	// Make available a shared state to the apply function
+	globals["state"] = starlark.NewDict(0)
+
 	// Freeze the global state.  This prevents modifications to the processor
 	// state and prevents scripts from containing errors storing tracking
 	// metrics.  Tasks that require global state will not be possible due to
diff --git a/plugins/processors/starlark/testdata/compare_metrics.star b/plugins/processors/starlark/testdata/compare_metrics.star
new file mode 100644
index 0000000000000..79555729d1814
--- /dev/null
+++ b/plugins/processors/starlark/testdata/compare_metrics.star
@@ -0,0 +1,25 @@
+# Example showing how to keep the last metric in order to compare it with the new one.
+#
+# Example Input:
+# cpu value=10i 1465839830100400201
+# cpu value=8i 1465839830100400301
+#
+# Example Output:
+# cpu_diff value=2i 1465839830100400301
+
+state = {
+  "last": None
+}
+
+def apply(metric):
+    # Load from the shared state the metric assigned to the key "last"
+    last = state["last"]
+    # Store the deepcopy of the new metric into the shared state and assign it to the key "last"
+    # NB: To store a metric into the shared state you have to deep copy it
+    state["last"] = deepcopy(metric)
+    if last != None:
+        # Create a new metric named "cpu_diff"
+        result = Metric("cpu_diff")
+        # Set the field "value" to the difference between the value of the last metric and the current one
+        result.fields["value"] = last.fields["value"] - metric.fields["value"]
+        return result