diff --git a/linux-x64/clang/share/opt-viewer/opt-stats.py b/linux-x64/clang/share/opt-viewer/opt-stats.py
new file mode 100755
index 0000000..03de23b
--- /dev/null
+++ b/linux-x64/clang/share/opt-viewer/opt-stats.py
@@ -0,0 +1,78 @@
+#!/usr/bin/env python2.7
+
+from __future__ import print_function
+
+desc = '''Generate statistics about optimization records from the YAML files
+generated with -fsave-optimization-record and -fdiagnostics-show-hotness.
+
+The tools requires PyYAML and Pygments Python packages.'''
+
+import optrecord
+import argparse
+import operator
+from collections import defaultdict
+from multiprocessing import cpu_count, Pool
+
+try:
+    from guppy import hpy
+    hp = hpy()
+except ImportError:
+    print("Memory consumption not shown because guppy is not installed")
+    hp = None
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(description=desc)
+    parser.add_argument(
+        'yaml_dirs_or_files',
+        nargs='+',
+        help='List of optimization record files or directories searched '
+             'for optimization record files.')
+    parser.add_argument(
+        '--jobs',
+        '-j',
+        default=None,
+        type=int,
+        help='Max job count (defaults to %(default)s, the current CPU count)')
+    parser.add_argument(
+        '--no-progress-indicator',
+        '-n',
+        action='store_true',
+        default=False,
+        help='Do not display any indicator of how many YAML files were read.')
+    args = parser.parse_args()
+
+    print_progress = not args.no_progress_indicator
+
+    files = optrecord.find_opt_files(*args.yaml_dirs_or_files)
+    if not files:
+        parser.error("No *.opt.yaml files found")
+        sys.exit(1)
+
+    all_remarks, file_remarks, _ = optrecord.gather_results(
+        files, args.jobs, print_progress)
+    if print_progress:
+        print('\n')
+
+    bypass = defaultdict(int)
+    byname = defaultdict(int)
+    for r in optrecord.itervalues(all_remarks):
+        bypass[r.Pass] += 1
+        byname[r.Pass + "/" + r.Name] += 1
+
+    total = len(all_remarks)
+    print("{:24s} {:10d}".format("Total number of remarks", total))
+    if hp:
+        h = hp.heap()
+        print("{:24s} {:10d}".format("Memory per remark",
+                                     h.size / len(all_remarks)))
+    print('\n')
+
+    print("Top 10 remarks by pass:")
+    for (passname, count) in sorted(bypass.items(), key=operator.itemgetter(1),
+                                    reverse=True)[:10]:
+        print("  {:30s} {:2.0f}%". format(passname, count * 100. / total))
+
+    print("\nTop 10 remarks:")
+    for (name, count) in sorted(byname.items(), key=operator.itemgetter(1),
+                                reverse=True)[:10]:
+        print("  {:30s} {:2.0f}%". format(name, count * 100. / total))