diff --git a/pyext/ctools/tests/__init__.py b/pyext/ctools/tests/__init__.py
deleted file mode 100644
index 483d856..0000000
--- a/pyext/ctools/tests/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-"""
-Tests that can be run for an installed ctools package.
-"""
diff --git a/pyext/ctools/tests/unbinned.py b/pyext/ctools/tests/unbinned.py
deleted file mode 100644
index 7e52480..0000000
--- a/pyext/ctools/tests/unbinned.py
+++ /dev/null
@@ -1,148 +0,0 @@
-# ==========================================================================
-# This script tests the unbinned analysis.
-#
-# Copyright (C) 2015 Christoph Deil
-#
-# This program is free software: you can redistribute it and/or modify
-# it under the terms of the GNU General Public License as published by
-# the Free Software Foundation, either version 3 of the License, or
-# (at your option) any later version.
-#
-# This program is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-# GNU General Public License for more details.
-#
-# You should have received a copy of the GNU General Public License
-# along with this program.  If not, see <http://www.gnu.org/licenses/>.
-#
-# ==========================================================================
-import os
-from tempfile import mkdtemp
-import unittest
-import ctools
-
-
-# ================== #
-# Analysis pipelines #
-# ================== #
-class pipelines(unittest.TestCase):
-    """
-    Test a simple unbinned analysis pipeline.
-    """
-    # Setup of test class
-    def setUp(self):
-        gammalib_dir    = os.environ['GAMMALIB']
-        self.model_name = os.path.join(gammalib_dir, "share/models/crab.xml")
-        self.workdir    = mkdtemp()
-
-    # Test unbinned analysis with FITS files
-    def test_unbinned_fits(self):
-        """
-        Test unbinned pipeline with FITS file saving.
-        """
-        # Set script parameters
-        model_name           = self.model_name
-        events_name          = os.path.join(self.workdir, "events.fits")
-        selected_events_name = os.path.join(self.workdir, "selected_events.fits")
-        result_name          = os.path.join(self.workdir, "results.xml")
-        caldb                = "prod2"
-        irf                  = "South_50h"
-        ra                   =   83.63
-        dec                  =   22.01
-        rad_sim              =   10.0
-        tstart               =    0.0
-        tstop                = 1800.0
-        emin                 =    0.1
-        emax                 =  100.0
-        rad_select           =    3.0
-
-        # Simulate events
-        sim = ctools.ctobssim()
-        sim["inmodel"]   = model_name
-        sim["outevents"] = events_name
-        sim["caldb"]     = caldb
-        sim["irf"]       = irf
-        sim["ra"]        = ra
-        sim["dec"]       = dec
-        sim["rad"]       = rad_sim
-        sim["tmin"]      = tstart
-        sim["tmax"]      = tstop
-        sim["emin"]      = emin
-        sim["emax"]      = emax
-        sim.execute()
-
-        # Select events
-        select = ctools.ctselect()
-        select["inobs"]  = events_name
-        select["outobs"] = selected_events_name
-        select["ra"]     = ra
-        select["dec"]    = dec
-        select["rad"]    = rad_select
-        select["tmin"]   = tstart
-        select["tmax"]   = tstop
-        select["emin"]   = emin
-        select["emax"]   = emax
-        select.execute()
-
-        # Perform maximum likelihood fitting
-        like = ctools.ctlike()
-        like["inobs"]    = selected_events_name
-        like["inmodel"]  = model_name
-        like["outmodel"] = result_name
-        like["caldb"]    = caldb
-        like["irf"]      = irf
-        like.execute()
-
-        # TODO: add asserts
-        assert True
-
-    # Test unbinned analysis in memory
-    def test_unbinned_mem(self):
-        """
-        Test unbinned in-memory pipeline.
-        """
-        # Set script parameters
-        model_name = self.model_name
-        caldb      = "prod2"
-        irf        = "South_50h"
-        ra         =   83.63
-        dec        =   22.01
-        rad_sim    =   10.0
-        tstart     =    0.0
-        tstop      = 1800.0
-        emin       =    0.1
-        emax       =  100.0
-        rad_select =    3.0
-
-        # Simulate events
-        sim = ctools.ctobssim()
-        sim["inmodel"] = model_name
-        sim["caldb"]   = caldb
-        sim["irf"]     = irf
-        sim["ra"]      = ra
-        sim["dec"]     = dec
-        sim["rad"]     = rad_sim
-        sim["tmin"]    = tstart
-        sim["tmax"]    = tstop
-        sim["emin"]    = emin
-        sim["emax"]    = emax
-        sim.run()
-
-        # Select events
-        select = ctools.ctselect(sim.obs())
-        select["ra"]   = ra
-        select["dec"]  = dec
-        select["rad"]  = rad_select
-        select["tmin"] = tstart
-        select["tmax"] = tstop
-        select["emin"] = emin
-        select["emax"] = emax
-        select.run()
-
-        # Perform maximum likelihood fitting
-        like = ctools.ctlike(select.obs())
-        like.run()
-
-        # TODO: add asserts
-        assert True