diff --git a/scripts/plot_rates.py b/scripts/plot_rates.py
new file mode 100755
index 000000000..f04e921a7
--- /dev/null
+++ b/scripts/plot_rates.py
@@ -0,0 +1,95 @@
+#!/usr/bin/env python3
+"""
+
+Copyright 2022, The Regents of the University of California.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+   1. Redistributions of source code must retain the above copyright notice,
+      this list of conditions and the following disclaimer.
+
+   2. Redistributions in binary form must reproduce the above copyright notice,
+      this list of conditions and the following disclaimer in the documentation
+      and/or other materials provided with the distribution.
+
+THIS SOFTWARE IS PROVIDED BY THE REGENTS OF THE UNIVERSITY OF CALIFORNIA ''AS
+IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE REGENTS OF THE UNIVERSITY OF CALIFORNIA OR
+CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT
+OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
+IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY
+OF SUCH DAMAGE.
+
+The views and conclusions contained in the software and documentation are those
+of the authors and should not be interpreted as representing official policies,
+either expressed or implied, of The Regents of the University of California.
+
+"""
+
+import argparse
+import matplotlib
+import matplotlib.pyplot as plt
+import os
+import pandas as pd
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument('-i', '--input', type=str, default='', help="input log directory")
+    parser.add_argument('-d', '--directory', type=str, default='.', help="output directory")
+    parser.add_argument('-o', '--output', type=str, default=None, help="output file")
+    parser.add_argument('-t', '--text', action='store_true', help="add text")
+
+    args = parser.parse_args()
+
+    name = args.output
+    if name is None:
+        name = os.path.basename(os.path.splitext(args.input)[0])
+
+    files = [
+        ("tx.csv", "TX", "lcl_txkbps", 1000/1e9),
+        ("rx.csv", "RX", "lcl_rxkbps", 1000/1e9),
+        ("txrx.csv", "TX S", "lcl_txkbps", 1000/1e9),
+        ("txrx.csv", "RX S", "lcl_rxkbps", 1000/1e9),
+    ]
+
+    curves = []
+
+    for fn, label, col, scale in files:
+        data = pd.read_csv(os.path.join(args.input, fn)).rename(columns=lambda x: x.strip())
+
+        n_list = []
+        rate_list = []
+
+        for n, d in data.groupby(data['n']):
+            n_list.append(n)
+            rate_list.append(d[col].mean()*scale)
+
+        print(n_list)
+        print(rate_list)
+
+        curves.append((n_list, rate_list, label))
+
+    matplotlib.rcParams.update({'font.size': 14})
+
+    f, ax = plt.subplots(1, figsize=(8, 6))
+    for x, y, label in curves:
+        ax.plot(x, y, label=label)
+    ax.set_title("Data rate")
+    ax.set_xlabel("iperf processes")
+    ax.set_ylabel("Data rate (Gbps)")
+    ax.set_ylim(0, 100)
+    ax.legend(fontsize='small', handlelength=1, handletextpad=0.3)
+
+    f.savefig('rates.png', dpi=300)
+    f.savefig('rates.eps', dpi=300)
+
+
+if __name__ == '__main__':
+    main()