diff --git a/my/eightsleep.py b/my/eightsleep.py
new file mode 100644
index 0000000..c758680
--- /dev/null
+++ b/my/eightsleep.py
@@ -0,0 +1,82 @@
+'''
+EightSleep data
+'''
+
+REQUIRES = [
+    'git+https://github.com/hpi/eight-sleep',
+]
+
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Sequence, Iterable
+
+from .core import Paths, get_files
+
+from my.config import eightsleep as user_config
+
+@dataclass
+class eightsleep(user_config):
+    # paths[s]/glob to the exported JSON data
+    export_path: Paths
+
+
+def inputs() -> Sequence[Path]:
+    return get_files(eightsleep.export_path)
+
+
+import eightsleep.dal as dal
+
+
+def sessions():
+    _dal = dal.DAL(inputs())
+    yield from _dal.sessions()
+
+
+from .core.pandas import check_dataframe, DataFrameT
+
+@check_dataframe
+def dataframe(defensive: bool=True) -> DataFrameT:
+    def it():
+        for s in sessions():
+            try:
+                d = {
+                    'ts': s['ts'],
+                    'score'      : s['score'],
+                    'stages': pd.DataFrame(s['stages']),
+                    'tossAndTurns': pd.DataFrame(s['tossAndTurns']),
+                    'tempRoomC': pd.DataFrame(s['tempRoomC']),
+                    'tempBedC': pd.DataFrame(s['tempBedC']),
+                    'respiratoryRate': pd.DataFrame(s['respiratoryRate']),
+                    'heartRate': pd.DataFrame(s['heartRate']),
+                    'hrv': pd.DataFrame(s['hrv']),
+                    'rmssd': pd.DataFrame(s['rmssd']),
+                    'stages': pd.DataFrame(s['stages']),
+                    'presenceDuration': s['presenceDuration'] if 'presenceDuration' in s else 0,
+                    'sleepDuration': s['sleepDuration'] if 'sleepDuration' in s else 0,
+                    'deepPercent': s['deepPercent'] if 'deepPercent' in s else 0,
+                    'presenceStart': s['presenceStart'] if 'presenceStart' in s else 0,
+                    'presenceEnd': s['presenceEnd'] if 'presenceEnd' in s else 0,
+                    'sleepStart': s['sleepStart'] if 'sleepStart' in s else 0,
+                    'sleepEnd': s['sleepEnd'] if 'sleepEnd' in s else 0,
+                    'totalTossAndTurns': s['tnt'] if 'tnt' in s else 0,
+                    'incomplete': s['incomplete'] if 'incomplete' in s else False
+                }
+            except Exception as e:
+                # TODO use the trace? otherwise str() might be too short..
+                # r.g. for KeyError it only shows the missing key
+                # todo check for 'defensive'
+                d = {'error': f'{e} {s}'}
+            yield d
+    import pandas as pd # type: ignore
+    df = pd.DataFrame(it())
+    print(df)
+    if 'error' not in df:
+        df['error'] = None
+    return df
+
+from .core import stat, Stats
+def stats() -> Stats:
+    return {
+        # todo pretty print stats?
+        **stat(dataframe),
+    }