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Gprof2dot

Converts profiling output to a dot graph.

Install / Use

/learn @jrfonseca/Gprof2dot
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

About gprof2dot

This is a Python script to convert the output from many profilers into a dot graph.

It can:

If you want an interactive viewer for the graphs generated by gprof2dot, check xdot.py.

Status

gprof2dot currently fulfills my needs, and I have little or no time for its maintenance. So I'm afraid that any requested features are unlikely to be implemented, and I might be slow processing issue reports or pull requests.

Build Status codecov

Example

This is the result from the example data in the Linux Gazette article with the default settings:

Sample

Requirements

  • Python: known to work with version >=3.8; it will most likely not work with earlier releases.
  • Graphviz: tested with version 2.26.3, but should work fine with other versions.

Windows users

Linux users

On Debian/Ubuntu run:

apt-get install python3 graphviz

On RedHat/Fedora run

yum install python3 graphviz

Download

Documentation

Usage

Usage: 
	gprof2dot.py [options] [file] ...

Options:
  -h, --help            show this help message and exit
  -o FILE, --output=FILE
                        output filename [stdout]
  -n PERCENTAGE, --node-thres=PERCENTAGE
                        eliminate nodes below this threshold [default: 0.5]
  -e PERCENTAGE, --edge-thres=PERCENTAGE
                        eliminate edges below this threshold [default: 0.1]
  -f FORMAT, --format=FORMAT
                        profile format: axe, callgrind, collapse, dtrace,
                        hprof, json, perf, prof, pstats, sleepy,
                        sysprof or xperf [default: prof]
  --total=TOTALMETHOD   preferred method of calculating total time: callratios
                        or callstacks (currently affects only perf format)
                        [default: callratios]
  -c THEME, --colormap=THEME
                        color map: bw, color, gray, pink or print [default:
                        color]
  -s, --strip           strip function parameters, template parameters, and
                        const modifiers from demangled C++ function names
  --color-nodes-by-selftime
                        color nodes by self time, rather than by total time
                        (sum of self and descendants)
  -w, --wrap            wrap function names
  --show-samples        show function samples
  --node-label=MEASURE  measurements to on show the node (can be specified
                        multiple times): self-time, self-time-percentage,
                        total-time or total-time-percentage [default: total-
                        time-percentage, self-time-percentage]
  --list-functions=LIST_FUNCTIONS
                        list functions available for selection in -z or -l,
                        requires selector argument ( use '+' to select all).
                        Recall that the selector argument is used with
                        Unix/Bash globbing/pattern matching, and that entries
                        are formatted '<pkg>:<linenum>:<function>'. When
                        argument starts with '%', a dump of all available
                        information is performed for selected entries,  after
                        removal of leading '%'.
  -z ROOT, --root=ROOT  prune call graph to show only descendants of specified
                        root function
  -l LEAF, --leaf=LEAF  prune call graph to show only ancestors of specified
                        leaf function
  --depth=DEPTH         prune call graph to show only descendants or ancestors
                        until specified depth
  --skew=THEME_SKEW     skew the colorization curve.  Values < 1.0 give more
                        variety to lower percentages.  Values > 1.0 give less
                        variety to lower percentages
  -p FILTER_PATHS, --path=FILTER_PATHS
                       Filter all modules not in a specified path
  --compare             Compare two graphs with almost identical structure. With this
                        option two files should be provided.gprof2dot.py
                        [options] --compare [file1] [file2] ...
  --compare-tolerance=TOLERANCE
                        Tolerance threshold for node difference
                        (default=0.001%).If the difference is below this value
                        the nodes are considered identical.
  --compare-only-slower
                        Display comparison only for function which are slower
                        in second graph.
  --compare-only-faster
                        Display comparison only for function which are faster
                        in second graph.
  --compare-color-by-difference
                        Color nodes based on the value of the difference.
                        Nodes with the largest differences represent the hot
                        spots.

Examples

Linux perf

perf record -g -- /path/to/your/executable
perf script | c++filt | gprof2dot.py -f perf | dot -Tpng -o output.png

xperf

If you're not familiar with xperf then read this excellent article first. Then do:

  • Start xperf as

    xperf -on Latency -stackwalk profile
    
  • Run your application.

  • Save the data. ` xperf -d output.etl

  • Start the visualizer:

    xperf output.etl
    
  • In Trace menu, select Load Symbols. Configure Symbol Paths if necessary.

  • Select an area of interest on the CPU sampling graph, right-click, and select Summary Table.

  • In the Columns menu, make sure the Stack column is enabled and visible.

  • Right click on a row, choose Export Full Table, and save to output.csv.

  • Then invoke gprof2dot as

    gprof2dot.py -f xperf output.csv | dot -Tpng -o output.png
    

VTune Amplifier XE

  • Collect profile data as (also can be done from GUI):

    amplxe-cl -collect hotspots -result-dir output -- your-app
    
  • Visualize profile data as:

    amplxe-cl -report gprof-cc -result-dir output -format text -report-output output.txt
    gprof2dot.py -f axe output.txt | dot -Tpng -o output.png
    

See also Kirill Rogozhin's blog post.

gprof

/path/to/your/executable arg1 arg2
gprof path/to/your/executable | gprof2dot.py | dot -Tpng -o output.png

python profile

python -m profile -o output.pstats path/to/your/script arg1 arg2
gprof2dot.py -f pstats output.pstats | dot -Tpng -o output.png

python cProfile (formerly known as lsprof)

python -m cProfile -o output.pstats path/to/your/script arg1 arg2
gprof2dot.py -f pstats output.pstats | dot -Tpng -o output.png

Java HPROF

java -agentlib:hprof=cpu=samples ...
gprof2dot.py -f hprof java.hprof.txt | dot -Tpng -o output.png

See Russell Power's blog post for details.

DTrace

dtrace -x ustackframes=100 -n 'profile-97 /pid == 12345/ { @[ustack()] = count(); } tick-60s { exit(0); }' -o out.user_stacks
gprof2dot.py -f dtrace out.user_stacks | dot -Tpng -o output.png

# Notice: sometimes, the dtrace outputs format may be latin-1, and gprof2dot will fail to parse it.
# To solve this problem, you should use iconv to convert to UTF-8 explicitly.
# TODO: add an encoding flag to tell gprof2dot how to decode the profile file.
iconv -f ISO-8859-1 -t UTF-8 out.user_stacks | gprof2dot.py -f dtrace

stackcollapse

Brendan Gregg's FlameGraph tool takes as its input a text file conta

View on GitHub
GitHub Stars3.4k
CategoryDevelopment
Updated10d ago
Forks394

Languages

Python

Security Score

100/100

Audited on Mar 22, 2026

No findings