diff --git a/orangecontrib/prototypes/widgets/owquickselect.py b/orangecontrib/prototypes/widgets/owquickselect.py
index f50ee8ba..2f154b4e 100644
--- a/orangecontrib/prototypes/widgets/owquickselect.py
+++ b/orangecontrib/prototypes/widgets/owquickselect.py
@@ -4,7 +4,8 @@
 from Orange.data import Table, DiscreteVariable
 from Orange.widgets import widget, gui, settings
 from Orange.widgets.utils.annotated_data import ANNOTATED_DATA_SIGNAL_NAME, \
-    create_annotated_table
+    lazy_annotated_table
+from Orange.widgets.utils.signals import LazyValue
 from Orange.widgets.utils.itemmodels import DomainModel
 from Orange.widgets.utils.state_summary import format_summary_details
 from Orange.widgets.utils.widgetpreview import WidgetPreview
@@ -69,8 +70,6 @@ def set_data(self, data):
         self.closeContext()
         self.data = data
         self.Error.no_categorical.clear()
-        # TODO: Check that contexts are retrieved properly, also when removing
-        # and re-adding a connection
 
         if data:
             self.var_model.set_domain(data.domain)
@@ -114,10 +113,15 @@ def commit(self):
             column = self.data.get_column(self.variable)
             valind = self.variable.values.index(self.value)
             mask = column == valind
-            annotated = create_annotated_table(self.data, np.flatnonzero(mask))
-            matching = self.data[mask]
-            unmatched = self.data[~mask]
-            self.n_matched = len(matching)
+            annotated = lazy_annotated_table(self.data, np.flatnonzero(mask))
+            self.n_matched = int(np.sum(mask))
+            # Don't use `mask` in lambdas because it wastes memory
+            matching = LazyValue[Table](
+                lambda: self.data[self.data.get_column(self.variable) == valind],
+                domain=self.data.domain, length=self.n_matched)
+            unmatched = LazyValue[Table](
+                lambda: self.data[self.data.get_column(self.variable) != valind],
+                domain=self.data.domain, length=len(self.data) - self.n_matched)
 
         self.Outputs.matching.send(matching)
         self.Outputs.unmatched.send(unmatched)
diff --git a/orangecontrib/prototypes/widgets/tests/test_owquickselect.py b/orangecontrib/prototypes/widgets/tests/test_owquickselect.py
new file mode 100644
index 00000000..fc6f78c9
--- /dev/null
+++ b/orangecontrib/prototypes/widgets/tests/test_owquickselect.py
@@ -0,0 +1,176 @@
+import unittest
+
+import numpy as np
+
+from Orange.data import DiscreteVariable, ContinuousVariable, StringVariable, \
+    Domain, Table
+from Orange.widgets.tests.base import WidgetTest
+from Orange.widgets.tests.utils import simulate
+from orangecontrib.prototypes.widgets.owquickselect import OWQuickSelect
+
+class TestOWQuickSelect(WidgetTest):
+    def setUp(self):
+        self.widget: OWQuickSelect = self.create_widget(OWQuickSelect)
+        a = DiscreteVariable("A", values=("a", "b", "c"))
+        b = DiscreteVariable("B", values=("x", "y"))
+        c = DiscreteVariable("C", values=("1", "2", "3"))
+        d, e, f = (ContinuousVariable(c) for c in "DEF")
+        g = StringVariable("G")
+        self.domain = Domain([d, a, b, e], c, [f, g])
+
+        self.data = Table.from_numpy(
+            self.domain,
+            X=[[1, 0, 0, 2],
+               [0, 1, 1, 3],
+               [1, 2, 0, 4],
+               [2, np.nan, 1, 5],
+               [0, 0, 1, 6]],
+            Y=[0, 1, 0, 2, 2],
+            metas=[[2, "x"], [np.nan, "y"], [np.nan, "x"], [1, "y"], [2, "x"]]
+
+        )
+
+    def test_model_and_settings(self):
+        w = self.widget
+        var_combo = w.controls.variable
+        value_combo = w.controls.value
+
+        self.send_signal(self.data)
+        self.assertEqual(len(w.var_model), 3)
+        self.assertIs(w.variable, self.domain["A"])
+        self.assertEqual(len(w.value_model), 3)
+        self.assertEqual(w.value_model[0], "a")
+
+        simulate.combobox_activate_index(var_combo, 1)
+        self.assertEqual(len(w.value_model), 2)
+        self.assertEqual(w.value, "x")
+
+        simulate.combobox_activate_index(value_combo, 1)
+        self.assertEqual(w.value, "y")
+
+        self.send_signal(None)
+        self.assertEqual(len(w.var_model), 0)
+        self.assertIsNone(w.variable)
+        self.assertEqual(len(w.value_model), 0)
+        self.assertEqual(w.value, "")
+
+        self.send_signal(w.Inputs.data, self.data)
+        self.assertEqual(len(w.var_model), 3)
+        self.assertIs(w.variable, self.domain["B"])
+        self.assertEqual(len(w.value_model), 2)
+        self.assertEqual(w.value, "y")
+
+    def test_no_categorical(self):
+        w = self.widget
+        no_cat = self.data.transform(
+            Domain(
+                [self.domain["D"], self.domain["E"]],
+                None,
+                [self.domain["F"], self.domain["G"]]))
+
+        self.send_signal(no_cat)
+        self.assertEqual(len(w.var_model), 0)
+        self.assertIsNone(w.variable)
+        self.assertTrue(w.Error.no_categorical.is_shown())
+        self.assertIsNone(self.get_output(w.Outputs.annotated))
+        w.send_report()
+
+        self.send_signal(None)
+        self.assertEqual(len(w.var_model), 0)
+        self.assertIsNone(w.variable)
+        self.assertFalse(w.Error.no_categorical.is_shown())
+        self.assertIsNone(self.get_output(w.Outputs.annotated))
+        w.send_report()
+
+        self.send_signal(no_cat)
+        self.assertTrue(w.Error.no_categorical.is_shown())
+        self.assertIsNone(self.get_output(w.Outputs.annotated))
+        w.send_report()
+
+        self.send_signal(self.data)
+        self.assertFalse(w.Error.no_categorical.is_shown())
+        self.assertIsNotNone(self.get_output(w.Outputs.annotated))
+        w.send_report()
+
+        self.send_signal(no_cat)
+        self.assertIsNone(self.get_output(w.Outputs.annotated))
+
+    def test_missing_context_value(self):
+        w = self.widget
+        var_combo = w.controls.variable
+        value_combo = w.controls.value
+
+        self.send_signal(self.data)
+        simulate.combobox_activate_index(var_combo, 1)
+        simulate.combobox_activate_index(value_combo, 1)
+        self.assertEqual(w.value, "y")
+
+        new_b = DiscreteVariable("B", values=("x", ))
+        new_data = self.data.transform(
+            Domain(self.domain.attributes[:2] + (new_b, ),
+                   self.domain.class_var,
+                   self.domain.metas))
+
+        self.send_signal(None)
+        self.assertIsNone(w.variable)
+        self.assertEqual(w.value, "")
+
+        self.send_signal(new_data)
+        self.assertIs(w.variable, new_b)
+        self.assertEqual(w.value, "x")
+
+    def test_output(self):
+        w = self.widget
+        var_combo = w.controls.variable
+        value_combo = w.controls.value
+
+        self.send_signal(self.data)
+        simulate.combobox_activate_index(var_combo, 1)
+
+        np.testing.assert_equal(
+            self.get_output(w.Outputs.annotated).metas[:, -1],
+            [1, 0, 1, 0, 0])
+        np.testing.assert_equal(
+            self.get_output(w.Outputs.matching).X,
+            self.data.X[[0, 2]])
+        np.testing.assert_equal(
+            self.get_output(w.Outputs.unmatched).X,
+            self.data.X[[1, 3, 4]])
+
+        simulate.combobox_activate_index(value_combo, 1)
+        np.testing.assert_equal(
+            self.get_output(w.Outputs.annotated).metas[:, -1],
+            [0, 1, 0, 1, 1])
+        np.testing.assert_equal(
+            self.get_output(w.Outputs.matching).X,
+            self.data.X[[1, 3, 4]])
+        np.testing.assert_equal(
+            self.get_output(w.Outputs.unmatched).X,
+            self.data.X[[0, 2]])
+
+        # Test with nans
+        simulate.combobox_activate_index(var_combo, 0)
+        self.assertIs(w.variable, self.domain["A"])
+        self.assertEqual(w.value, "a")
+        np.testing.assert_equal(
+            self.get_output(w.Outputs.annotated).metas[:, -1],
+            [1, 0, 0, 0, 1])
+
+        simulate.combobox_activate_index(value_combo, 1)
+        np.testing.assert_equal(
+            self.get_output(w.Outputs.annotated).metas[:, -1],
+            [0, 1, 0, 0, 0])
+
+        simulate.combobox_activate_index(value_combo, 2)
+        np.testing.assert_equal(
+            self.get_output(w.Outputs.annotated).metas[:, -1],
+            [0, 0, 1, 0, 0])
+
+        self.send_signal(None)
+        self.send_signal(self.data)
+        np.testing.assert_equal(
+            self.get_output(w.Outputs.annotated).metas[:, -1],
+            [0, 0, 1, 0, 0])
+
+if __name__ == "__main__":
+    unittest.main()
diff --git a/setup.py b/setup.py
index 37b0df36..0ed939af 100644
--- a/setup.py
+++ b/setup.py
@@ -63,12 +63,9 @@ def include_documentation(local_dir, install_dir):
             "orangecontrib.prototypes.widgets": ["icons/*.svg", "tests/*.tab"]
         },
         install_requires=[
-            'Orange3>=3.34',
-            'numpy>=1.19.5',
-            'scipy>=1.9.0',
-            'scikit-learn>=1.0.1',
-            'pyqtgraph',
-            'AnyQt>=0.1.0',
+            'Orange3>=3.36.2',
+            'scipy>=1.9.2',
+            'AnyQt>=0.2.0',
             'pandas>=1.3.0',
             'openai>=1',
             'tiktoken',
diff --git a/tox.ini b/tox.ini
index 80d7c668..f42f8c54 100644
--- a/tox.ini
+++ b/tox.ini
@@ -21,12 +21,12 @@ setenv =
 deps =
     {env:PYQT_PYPI_NAME:PyQt5}=={env:PYQT_PYPI_VERSION:5.15.*}
     {env:WEBENGINE_PYPI_NAME:PyQtWebEngine}=={env:WEBENGINE_PYPI_VERSION:5.15.*}
-    oldest: orange3==3.34.0
-    oldest: orange-canvas-core==0.1.28
-    oldest: orange-widget-base==4.19.0
+    oldest: orange3==3.36.2
+    oldest: orange-canvas-core==0.1.30
+    oldest: orange-widget-base==4.22.0
     oldest: scipy==1.9.2
     oldest: pandas==1.4.0
-    oldest: anyqt==0.1.0
+    oldest: anyqt==0.2.0
     oldest: openai==1.0.0
     latest: https://github.com/biolab/orange3/archive/refs/heads/master.zip#egg=orange3
     latest: https://github.com/biolab/orange-canvas-core/archive/refs/heads/master.zip#egg=orange-canvas-core