framehop VS cargo-trace

Compare framehop vs cargo-trace and see what are their differences.

framehop

Stack unwinding library in Rust (by mstange)
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cargo-trace

Flamegraphing tool for perf events (by dvc94ch)
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framehop cargo-trace
1 1
74 35
- -
8.1 10.0
17 days ago about 3 years ago
Rust Rust
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

framehop

Posts with mentions or reviews of framehop. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-29.

cargo-trace

Posts with mentions or reviews of cargo-trace. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-29.
  • Dwarf-Based Stack Walking Using eBPF
    8 projects | news.ycombinator.com | 29 Nov 2022
    Are the authors here? Thanks for this! I'm always thrilled to see advances in profiling tools.

    I'm curious what they have to say about complexity/necessity of interpreting all of DWARF. cargo-trace (an neat and conceptually similar but abandoned project, I think) [1] says:

    > It can be empirically determined that almost all dwarf programs consist of a single instruction and use only three different instructions. rip+offset, rsp+offset or *cfa+offset, where cfa is the rsp value of the previous frame. The result of the unwinding is an array of instruction pointers.

    Do you find this to be true? Is more complex interpreting of DWARF necessary?

    And in the lkml thread linked from the article, Linus is extremely pessimistic about DWARF unwinding, [2] I'm sure not without justification. He's talking about kernel stacks, and I think the trade-off is different when you're trying to profile existing userspace applications and libraries compiled and implemented however, but nonetheless I'm curious to hear the authors say how applicable they think his points are.

    [1] https://github.com/dvc94ch/cargo-trace

    [2] https://lkml.org/lkml/2012/2/10/356

What are some alternatives?

When comparing framehop and cargo-trace you can also consider the following projects:

parca-agent - eBPF based always-on profiler auto-discovering targets in Kubernetes and systemd, zero code changes or restarts needed!

bcc - BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more

scalene - Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

framehop vs parca-agent cargo-trace vs parca-agent framehop vs bcc cargo-trace vs bcc cargo-trace vs scalene