pprof
Sourcetrail
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pprof | Sourcetrail | |
---|---|---|
12 | 46 | |
7,423 | 12,302 | |
2.1% | - | |
7.6 | 7.0 | |
8 days ago | over 2 years ago | |
Go | C++ | |
Apache License 2.0 | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pprof
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Profiling Caddy
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)
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Why So Slow? Using Profilers to Pinpoint the Reasons of Performance Degradation
Because we couldn't identify the issue using the results we got from Callgrind, we reached for another profiler, gperftools. It's a sampling profiler and therefor it has a smaller impact on the application's performance in exchange for less accurate call statistics. After filtering out the unimportant parts and visualizing the rest with pprof, it was evident that something strange was happening with the send function. It took only 71 milliseconds with the previous implementation and more than 900 milliseconds with the new implementation of our Bolt server. It was very suspicious, but based on Callgrind, its cost was almost the same as before. We were confused as the two results seemed to conflict with each other.
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Improving the performance of your code starting with Go
github.com - google/pprof
- Proposal to Support Timestamps and Labels in Pprof Events
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A Generic Approach to Troubleshooting
The application performances in a specific code path (e.g. gdb, pprof, …).
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Does rust have a visual analysis tool for memory and performance like pprof of golang?
pprof is https://github.com/google/pprof, it's a very useful tool in golang , and really really really convenient
- pprof - tool for visualization and analysis of profiling data
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Tokio Console
Go also has pretty good out of the box profiling (pprof[0]) and third-party runtime debugging (delv[1]) that can be used both remotely and local.
These tools also have decent editor integration and can be use hand in hand:
https://blog.jetbrains.com/go/2019/04/03/profiling-go-applic...
https://blog.jetbrains.com/go/2020/03/03/how-to-find-gorouti...
[0] https://github.com/google/pprof
[1] https://github.com/go-delve/delve
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Cats and Clouds – There Are No Pillars in Observability with Yoshi Yamaguchi
And what we do in Google Cloud is that we still use the pprof. But it's a kind of forked version of the pprof because the visualization part is totally different. So we give that tool as the Cloud Profiler. So that is the product name. And then, the difference between the pprof and a Cloud Profiler is that Cloud Profiler provides the agent library for each famous programming language such as Java, Python, Node.js, and Go. And then what you need to do is to just write 5 to 10 lines of code in a new application. That launches the profile agent in your application as a subsidiary thread of the main thread. And then, that thread periodically collects the profile data of the application and then sends that data back to Google Cloud and the Cloud Profiler.
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Is there a way I can visualize all the function calls made while running the project(C++) in a graphical way?
gprftools (https://github.com/gperftools/gperftools) can be easily plugged in using LD_PRELOAD and signal, and has nice go implemented visualization tool https://github.com/google/pprof.
Sourcetrail
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Ask HN: Anyone use a code to mindmap/flowchart tool?
I wish something existed in this space. I used Coati Software's Sourcetrail for a couple of years. Unfortunately it was discontinued. It was a wonderful piece of software that indexed a code repository, and exposed an interface to explore it interactively. At least for me, it significantly improved the understanding and legibility of code.
The code is in an archived state (https://github.com/CoatiSoftware/Sourcetrail). Searching for the software on Google shows some screenshots.
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Ask HN: What would an IDE built for the Apple Vision Pro look like?
I think it might make large scale code visualization in a similar way to how SourceTrail does it more feasible: https://github.com/CoatiSoftware/Sourcetrail
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How to quickly learn/understand the system architecture of any given application?
Sourcetrail: Free and open-source cross-platform source explorer https://github.com/CoatiSoftware/Sourcetrail
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Tools/software for visualizing code structure/dependencies of large C project.
Yep souecetrail https://github.com/CoatiSoftware/Sourcetrail
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Tools to understand a new code base
I've used https://github.com/CoatiSoftware/Sourcetrail in the past for some bits of the legacy code project I'm on. I also use vim and cscope for day to day navigation but it's harder to get a big picture with those alone.
- Is there a site or extension where to learn C++ by doing, learning more visually?
- “Zoom Out”: The missing feature of IDEs
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Tools for Building Symbol Tables from A Source Code File
Sourcetrail?
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A Byfrost Indexer Update-A Graphing Demo
Does it strive to do what Sourcetrail used to ?
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How to understand a c++ project
You could always try using Sourcetrail. Unfortunately the open source project is now archived but it should still help you get insights into your code.
What are some alternatives?
gperftools - Main gperftools repository
Spotbugs - SpotBugs is FindBugs' successor. A tool for static analysis to look for bugs in Java code.
prometheus - The Prometheus monitoring system and time series database.
PMD - An extensible multilanguage static code analyzer.
jaeger - CNCF Jaeger, a Distributed Tracing Platform
Checkstyle - Checkstyle is a development tool to help programmers write Java code that adheres to a coding standard. By default it supports the Google Java Style Guide and Sun Code Conventions, but is highly configurable. It can be invoked with an ANT task and a command line program.
tracy - Frame profiler
infer - A static analyzer for Java, C, C++, and Objective-C
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.
Gource - software version control visualization
massif-visualizer - Visualizer for Valgrind Massif data files
FindBugs - The new home of the FindBugs project