diff --git a/extraction/examples/argo.py b/extraction/examples/argo.py
deleted file mode 100644
index 572412f5557a1724287699cb65a2db2e9855a090..0000000000000000000000000000000000000000
--- a/extraction/examples/argo.py
+++ /dev/null
@@ -1,39 +0,0 @@
-# Example of argo experiment explorer
-from aliby.utils.argo import Argo
-from extraction.core.extractor import Extractor
-from extraction.core.functions.defaults import get_params
-from extraction.core.parameters import Parameters
-
-argo = Argo()
-argo.load()
-# argo.channels("GFP")
-argo.tags(["Alan"])
-argo.complete()
-# argo.cExperiment()
-# argo.tiler_cells()
-
-# params = Parameters(**get_params("batman_ph_dual_fast"))
-
-
-# def try_extract(d):
-#     try:
-#         params = Parameters(**get_params("batman_ph_dual_fast"))
-#         ext = Extractor(params, source=d.getId())
-#         ext.load_tiler_cells()
-#         ext.process_experiment()
-#         print(d.getId(), d.getName(), "Experiment processed")
-#         return True
-#     except:
-#         print(d.getId(), d.getName(), "Experiment not processed")
-
-#         return False
-
-
-# from multiprocessing.dummy import Pool as ThreadPool
-
-# pool = ThreadPool(4)
-# results = pool.map(try_extract, argo.dsets)
-# import pickle
-
-# with open("results.pkl", "wb") as f:
-#     pickle.dump(results, f)
diff --git a/extraction/examples/test_pipeline.py b/extraction/examples/test_pipeline.py
deleted file mode 100644
index a69b12c876661caa69ad660d602c36c9a89e4a28..0000000000000000000000000000000000000000
--- a/extraction/examples/test_pipeline.py
+++ /dev/null
@@ -1,28 +0,0 @@
-from pathlib import Path
-
-import numpy as np
-
-from extraction.core.extractor import Extractor
-from extraction.core.functions.defaults import get_params
-from extraction.core.parameters import Parameters
-
-params = Parameters(**get_params("batman_ph_dual_fast"))
-# ext = Extractor(params, source=19918)  # 19831
-ext = Extractor(params, source=19831)
-ext.load_tiler()
-self = ext
-# s=self.extract_exp(tree={'general':{None:['area']}, 'GFPFast':{np.maximum:['median','mean']}},poses=self.expt.positions[:2], tps=[0,1], stg='df')
-s = self.extract_exp()
-# # import cProfile
-# # profile = cProfile.Profile()
-# # profile.enable()
-# # ext.change_position(ext.expt.positions[1])
-# # tracks = self.extract_pos(
-# #     tree={('general'):{None:  # Other metrics can be used
-# #                        [tidy_metric]}})#['general',None,'area']
-
-# # profile.disable()
-# # import pstats
-# # ps = pstats.Stats(profile)
-# # ps.sort_stats('cumulative')
-# # ps.print_stats()