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Top 23 Profiler Open-Source Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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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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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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AndroidGodEye
An app performance monitor(APM) , like "Android Studio profiler", you can easily monitor the performance of your app real time in browser
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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)
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)
Project mention: Tracy: Real-time nanosecond resolution frame profiler | news.ycombinator.com | 2024-03-22
The pprof format is not tied to Go. From my understanding, it's used within Google across multiple languages. The format is defined in the pprof repository[0], and the visualization tool is source-language agnostic. I've seen libraries in numerous languages (e.g. Python, Java) to publish profiles in pprof format. This is an indicator the pprof format has become de-facto. Grafana Pyroscope[1] is a tool that's capable of parsing the pprof format, agnostic to the source programming language, and has instructions for Go, Java, Python, Ruby, node.js, Rust, and .NET.
My understanding is that you're searching for a combination of the profiles, metrics, and tracing. Caddy supports all 3.
[0] https://github.com/google/pprof/blob/main/doc/README.md
[1] https://grafana.com/docs/pyroscope/latest/
metrics and tracing need to be manually enabled (for now, perhaps)
I was wondering if you have any synchronous routes in your app? We have an open issue regarding those and would love some ideas for solutions :)
Project mention: Ask HN: C/C++ developer wanting to learn efficient Python | news.ycombinator.com | 2024-04-10
I've found bytehound helpful for tracking memory leaks: https://github.com/koute/bytehound
Author of peek here. Honestly, I got burnt out. We stopped using this internally at GitHub which made it difficult to continue working on. Rails was going through its identity crisis with asset pipelines.
https://github.com/MiniProfiler/rack-mini-profiler gets you most of the way there and comes by default in the Gemfile for new Rails applications.
There's peek[1], albeit not exactly the same thing
[1] - https://github.com/peek/peek
Does anyone here have experience with Optick: https://github.com/bombomby/optick ? It looks great but I haven't got the chance to try it. Was wondering how it compares to the other tools listed here.
You might also consider building some support for tracing and profiling directly into your engine using Tracy or easy_profiler.
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).
Profiler related posts
- Coz: Causal Profiling
- Ask HN: C/C++ developer wanting to learn efficient Python
- Tracy: Real-time nanosecond resolution frame profiler
- Minha jornada de otimização de uma aplicação django
- RoR Debugbar
- Profiling Caddy
- Google/orbit – C/C++ Performance Profiler
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A note from our sponsor - WorkOS
workos.com | 26 Apr 2024
Index
What are some of the best open-source Profiler projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | memray | 12,545 |
| 2 | py-spy | 11,850 |
| 3 | scalene | 11,163 |
| 4 | tracy | 7,814 |
| 5 | pprof | 7,450 |
| 6 | bullet | 6,984 |
| 7 | pyinstrument | 6,105 |
| 8 | memory_profiler | 4,210 |
| 9 | orbit | 4,031 |
| 10 | vprof | 3,948 |
| 11 | hotspot | 3,859 |
| 12 | bytehound | 3,856 |
| 13 | coz | 3,819 |
| 14 | rack-mini-profiler | 3,655 |
| 15 | Peek | 3,181 |
| 16 | optick | 2,859 |
| 17 | MiniProfiler | 2,854 |
| 18 | Remotery | 2,728 |
| 19 | AndroidGodEye | 2,577 |
| 20 | easy_profiler | 2,056 |
| 21 | palanteer | 2,027 |
| 22 | ruby-prof | 1,987 |
| 23 | php-spx | 1,879 |
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