devlib initial commit.
diff --git a/devlib/instrument/energy_probe.py b/devlib/instrument/energy_probe.py
new file mode 100644
index 0000000..54ce8de
--- /dev/null
+++ b/devlib/instrument/energy_probe.py
@@ -0,0 +1,116 @@
+#    Copyright 2015 ARM Limited
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from __future__ import division
+import os
+import csv
+import signal
+import tempfile
+import struct
+import subprocess
+
+try:
+    import pandas
+except ImportError:
+    pandas = None
+
+from devlib.instrument import Instrument, CONTINUOUS, MeasurementsCsv
+from devlib.exception import HostError
+from devlib.utils.misc import which
+
+
+class EnergyProbeInstrument(Instrument):
+
+    mode = CONTINUOUS
+
+    def __init__(self, target, resistor_values,
+                 labels=None,
+                 device_entry='/dev/ttyACM0',
+                 ):
+        super(EnergyProbeInstrument, self).__init__(target)
+        self.resistor_values = resistor_values
+        if labels is not None:
+            self.labels = labels
+        else:
+            self.labels = ['PORT_{}'.format(i)
+                           for i in xrange(len(resistor_values))]
+        self.device_entry = device_entry
+        self.caiman = which('caiman')
+        if self.caiman is None:
+            raise HostError('caiman must be installed on the host '
+                            '(see https://github.com/ARM-software/caiman)')
+        if pandas is None:
+            self.logger.info("pandas package will significantly speed up this instrument")
+            self.logger.info("to install it try: pip install pandas")
+        self.attributes_per_sample = 3
+        self.bytes_per_sample = self.attributes_per_sample * 4
+        self.attributes = ['power', 'voltage', 'current']
+        self.command = None
+        self.raw_output_directory = None
+        self.process = None
+
+        for label in self.labels:
+            for kind in self.attributes:
+                self.add_channel(label, kind)
+
+    def reset(self, sites=None, kinds=None):
+        super(EnergyProbeInstrument, self).reset(sites, kinds)
+        self.raw_output_directory = tempfile.mkdtemp(prefix='eprobe-caiman-')
+        parts = ['-r {}:{} '.format(i, int(1000 * rval))
+                 for i, rval in enumerate(self.resistor_values)]
+        rstring = ''.join(parts)
+        self.command = '{} -d {} -l {} {}'.format(self.caiman, self.device_entry, rstring, self.raw_output_directory)
+
+    def start(self):
+        self.logger.debug(self.command)
+        self.process = subprocess.Popen(self.command,
+                                        stdout=subprocess.PIPE,
+                                        stderr=subprocess.PIPE,
+                                        stdin=subprocess.PIPE,
+                                        preexec_fn=os.setpgrp,
+                                        shell=True)
+
+    def stop(self):
+        os.killpg(self.process.pid, signal.SIGTERM)
+
+    def get_data(self, outfile):  # pylint: disable=R0914
+        all_channels = [c.label for c in self.list_channels()]
+        active_channels = [c.label for c in self.active_channels]
+        active_indexes = [all_channels.index(ac) for ac in active_channels]
+
+        num_of_ports = len(self.resistor_values)
+        struct_format = '{}I'.format(num_of_ports * self.attributes_per_sample)
+        not_a_full_row_seen = False
+        raw_data_file = os.path.join(self.raw_output_directory, '0000000000')
+
+        self.logger.debug('Parsing raw data file: {}'.format(raw_data_file))
+        with open(raw_data_file, 'rb') as bfile:
+            with open(outfile, 'wb') as wfh:
+                writer = csv.writer(wfh)
+                writer.writerow(active_channels)
+                while True:
+                    data = bfile.read(num_of_ports * self.bytes_per_sample)
+                    if data == '':
+                        break
+                    try:
+                        unpacked_data = struct.unpack(struct_format, data)
+                        row = [unpacked_data[i] / 1000 for i in active_indexes]
+                        writer.writerow(row)
+                    except struct.error:
+                        if not_a_full_row_seen:
+                            self.logger.warn('possibly missaligned caiman raw data, row contained {} bytes'.format(len(data)))
+                            continue
+                        else:
+                            not_a_full_row_seen = True
+        return MeasurementsCsv(outfile, self.active_channels)