diff --git a/doc/yjit/yjit.md b/doc/yjit/yjit.md
index 8aab1aed22..4508bce25f 100644
--- a/doc/yjit/yjit.md
+++ b/doc/yjit/yjit.md
@@ -480,13 +480,8 @@ perf script --fields +pid > /tmp/test.perf
 You can also profile the number of cycles consumed by code generated by each YJIT function.
 
 ```bash
-# Build perf from source for Python support
-# [Optional] libelf-dev libunwind-dev libaudit-dev libslang2-dev libdw-dev
-sudo apt-get install libpython3-dev python3-pip flex libtraceevent-dev
-git clone https://github.com/torvalds/linux
-cd linux/tools/perf
-make
-make install
+# Install perf
+apt-get install linux-tools-common linux-tools-generic linux-tools-`uname -r`
 
 # [Optional] Allow running perf without sudo
 echo 0 | sudo tee /proc/sys/kernel/kptr_restrict
@@ -496,6 +491,25 @@ echo -1 | sudo tee /proc/sys/kernel/perf_event_paranoid
 cd ../yjit-bench
 PERF=record ruby --yjit-perf=codegen -Iharness-perf benchmarks/lobsters/benchmark.rb
 
+# Aggregate results
+perf script > /tmp/perf.txt
+../ruby/misc/yjit_perf.py /tmp/perf.txt
+```
+
+#### Building perf with Python support
+
+The above instructions work fine for most people, but you could also use
+a handy `perf script -s` interface if you build perf from source.
+
+```bash
+# Build perf from source for Python support
+sudo apt-get install libpython3-dev python3-pip flex libtraceevent-dev \
+  libelf-dev libunwind-dev libaudit-dev libslang2-dev libdw-dev
+git clone --depth=1 https://github.com/torvalds/linux
+cd linux/tools/perf
+make
+make install
+
 # Aggregate results
 perf script -s ../ruby/misc/yjit_perf.py
 ```
diff --git a/misc/yjit_perf.py b/misc/yjit_perf.py
old mode 100644
new mode 100755
index 44c232254e..61434e5eb4
--- a/misc/yjit_perf.py
+++ b/misc/yjit_perf.py
@@ -1,12 +1,9 @@
+#!/usr/bin/env python3
 import os
 import sys
 from collections import Counter, defaultdict
 import os.path
 
-sys.path.append(os.environ['PERF_EXEC_PATH'] + '/scripts/python/Perf-Trace-Util/lib/Perf/Trace')
-from perf_trace_context import *
-from EventClass import *
-
 # Aggregating cycles per symbol and dso
 total_cycles = 0
 category_cycles = Counter()
@@ -57,11 +54,10 @@ def categorize_symbol(dso, symbol):
 def process_event(event):
     global total_cycles, category_cycles, detailed_category_cycles, categories
 
-    sample = event["sample"]
     full_dso = event.get("dso", "Unknown_dso")
     dso = os.path.basename(full_dso)
     symbol = event.get("symbol", "[unknown]")
-    cycles = sample["period"]
+    cycles = event["sample"]["period"]
     total_cycles += cycles
 
     category = categorize_symbol(dso, symbol)
@@ -94,3 +90,27 @@ def trace_end():
         for (dso, symbol), cycles in symbols.most_common():
             symbol_ratio = (cycles / category_total) * 100
             print("{:<20} {:<50} {:>20.2f}% {:>15}".format(dso, truncate_symbol(symbol), symbol_ratio, cycles))
+
+# There are two ways to use this script:
+# 1) perf script -s misc/yjit_perf.py                     -- native interface
+# 2) perf script > perf.txt && misc/yjit_perf.py perf.txt -- hack, which doesn't require perf with Python support
+#
+# In both cases, __name__ is "__main__". The following code implements (2) when sys.argv is 2.
+if __name__ == "__main__" and len(sys.argv) == 2:
+    if len(sys.argv) != 2:
+        print("Usage: yjit_perf.py <filename>")
+        sys.exit(1)
+
+    with open(sys.argv[1], "r") as file:
+        for line in file:
+            # [Example]
+            # ruby 78207 3482.848465: 1212775 cpu_core/cycles:P/: 5c0333f682e1 [JIT] getlocal_WC_0+0x0 (/tmp/perf-78207.map)
+            row = line.split(maxsplit=6)
+
+            period = row[3] # "1212775"
+            symbol, dso = row[6].split(" (") # "[JIT] getlocal_WC_0+0x0", "/tmp/perf-78207.map)\n"
+            symbol = symbol.split("+")[0] # "[JIT] getlocal_WC_0"
+            dso = dso.split(")")[0] # "/tmp/perf-78207.map"
+
+            process_event({"dso": dso, "symbol": symbol, "sample": {"period": int(period)}})
+    trace_end()