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Top 23 Profiling Open-Source Projects
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scalene
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
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InfluxDB
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systeminformer
A free, powerful, multi-purpose tool that helps you monitor system resources, debug software and detect malware. Brought to you by Winsider Seminars & Solutions, Inc. @ http://www.windows-internals.com
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viztracer
VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.
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SaaSHub
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flamegraph
Easy flamegraphs for Rust projects and everything else, without Perl or pipes <3 (by flamegraph-rs)
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parca
Continuous profiling for analysis of CPU and memory usage, down to the line number and throughout time. Saving infrastructure cost, improving performance, and increasing reliability.
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fgprof
🚀 fgprof is a sampling Go profiler that allows you to analyze On-CPU as well as Off-CPU (e.g. I/O) time together.
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MTuner
MTuner is a C/C++ memory profiler and memory leak finder for Windows, PlayStation 4 and 3, Android and other platforms
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phoronix-test-suite
The Phoronix Test Suite open-source, cross-platform automated testing/benchmarking software.
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MTHawkeye
Profiling / Debugging assist tools for iOS. (Memory Leak, OOM, ANR, Hard Stalling, Network, OpenGL, Time Profile ...)
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SaaSHub
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I collected a list of profilers (also memory profilers, also specifically for Python) here: https://github.com/albertz/wiki/blob/master/profiling.md
Currently I actually need a Python memory profiler, because I want to figure out whether there is some memory leak in my application (PyTorch based training script), and where exactly (in this case, it's not a problem of GPU memory, but CPU memory).
I tried Scalene (https://github.com/plasma-umass/scalene), which seems to be powerful, but somehow the output it gives me is not useful at all? It doesn't really give me a flamegraph, or a list of the top lines with memory allocations, but instead it gives me a listing of all source code lines, and prints some (very sparse) information on each line. So I need to search through that listing now by hand to find the spots? Maybe I just don't know how to use it properly.
I tried Memray, but first ran into an issue (https://github.com/bloomberg/memray/issues/212), but after using some workaround, it worked now. I get a flamegraph out, but it doesn't really seem accurate? After a while, there don't seem to be any new memory allocations at all anymore, and I don't quite trust that this is correct.
There is also Austin (https://github.com/P403n1x87/austin), which I also wanted to try (have not yet).
Somehow this experience so far was very disappointing.
(Side node, I debugged some very strange memory allocation behavior of Python before, where all local variables were kept around after an exception, even though I made sure there is no reference anymore to the exception object, to the traceback, etc, and I even called frame.clear() for all frames to really clear it. It turns out, frame.f_locals will create another copy of all the local variables, and the exception object and all the locals in the other frame still stay alive until you access frame.f_locals again. At that point, it will sync the f_locals again with the real (fast) locals, and then it can finally free everything. It was quite annoying to find the source of this problem and to find workarounds for it. https://github.com/python/cpython/issues/113939)
System Informer is a versatile system management tool designed to seamlessly monitor and analyze system resources, troubleshoot software issues, and identify potential malware threats. Offers system activity overviews, intuitive graphs, real-time statistics, active network connection monitoring, detailed disk access information, intricate stack trace analysis, and much more. evily2k describes it "like process explorer on steroids. Allows me to kill process that task manager would say access denied."
Project mention: Tracy: A real time frame and sampling profiler for games and other applications | news.ycombinator.com | 2024-05-12
Clockwork: Clockwork is a powerful debugging and profiling tool for PHP developers. It integrates seamlessly with Laravel and provides detailed insight into the performance of your application, including database queries, HTTP requests, performance metrics, and more. With its intuitive interface and extensive feature set, Clockwork is a valuable tool for optimizing your Laravel applications.
Project mention: Ask HN: C/C++ developer wanting to learn efficient Python | news.ycombinator.com | 2024-04-10* https://github.com/gaogaotiantian/viztracer get a timeline of execution vs call-stack (great to discover what's happening deep inside pandas)
You can install cargo-flamegraph with cargo install flamegraph. There are some underlying requirements to be able to use cargo-flamegraph; you will want to take a look at the repo here to make sure you have the right dependencies.
You might ask what Job or what project. The answer depends on what you want to learn/do (as mentioned it codependent). If you want to know how the execution of a Programm happens in detail and how it can be manipulated during runtime you can dive into DynamoRIO (https://github.com/DynamoRIO/dynamorio). There, you can also learn a lot about instruction set architectures.
Project mention: FreeBSD has a(nother) new C compiler: Intel oneAPI DPC++/C++ | news.ycombinator.com | 2024-03-07I think they do a lot of good stuff, like LTO and PGO.
But in benchmarks you sometimes see like a 4x speedup compared to ubuntu, which is obviously not due to superior compilers.
For example:
https://github.com/phoronix-test-suite/phoronix-test-suite/i...
Project mention: A collection of different tools to analyze your Ruby test suite performance | news.ycombinator.com | 2024-05-21
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Profiling related posts
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A collection of different tools to analyze your Ruby test suite performance
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Show HN: React Geiger – performance profiling using sound
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Fgprof – The Full Go Profiler
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Memray – A Memory Profiler for Python
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Seeing what a Go process does (like `set -x`)
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Show HN: I developed the most user-friendly Python profiling tool available
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Need help making sense of these benchmark results
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A note from our sponsor - InfluxDB
www.influxdata.com | 22 May 2024
Index
What are some of the best open-source Profiling projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | py-spy | 11,913 |
| 2 | scalene | 11,240 |
| 3 | systeminformer | 10,393 |
| 4 | pyroscope | 9,503 |
| 5 | tracy | 7,916 |
| 6 | clockwork | 5,514 |
| 7 | viztracer | 4,441 |
| 8 | flamegraph | 4,337 |
| 9 | hotspot | 3,889 |
| 10 | bytehound | 3,871 |
| 11 | parca | 3,868 |
| 12 | go-recipes | 3,837 |
| 13 | go-profiler-notes | 3,492 |
| 14 | gprof2dot | 3,114 |
| 15 | fgprof | 2,774 |
| 16 | datadog-agent | 2,666 |
| 17 | MTuner | 2,562 |
| 18 | dynamorio | 2,537 |
| 19 | phoronix-test-suite | 2,320 |
| 20 | palanteer | 2,044 |
| 21 | Ruby Tests Profiling Toolbox | 1,808 |
| 22 | likwid | 1,567 |
| 23 | MTHawkeye | 1,470 |
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