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FlameGraph Alternatives
Similar projects and alternatives to FlameGraph
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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Git
Git Source Code Mirror - This is a publish-only repository but pull requests can be turned into patches to the mailing list via GitGitGadget (https://gitgitgadget.github.io/). Please follow Documentation/SubmittingPatches procedure for any of your improvements.
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darwin-xnu
Discontinued Legacy mirror of Darwin Kernel. Replaced by https://github.com/apple-oss-distributions/xnu
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neon
Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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WebKit
Home of the WebKit project, the browser engine used by Safari, Mail, App Store and many other applications on macOS, iOS and Linux.
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sharp
High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
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parca-agent
eBPF based always-on profiler auto-discovering targets in Kubernetes and systemd, zero code changes or restarts needed!
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
FlameGraph discussion
FlameGraph reviews and mentions
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Decreasing Gitlab repo backup times from 48 hours to 41 minutes
https://github.com/brendangregg/FlameGraph
You record performance data with `perf`, then use the scripts there to turn it into a SVG.
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AWS Lambda Profiler Extension for Java- Part 1 Introduction
If you'd like to know more about the flame graphs in general you can you the collection of resources of Brendan Gregg Flame Graph who contributed a lot in this area.
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Try Postgres Cloud
You may find yourself in need of flamegraphs for software in this repository. You can use flamegraph-rs or the original flamegraph.pl. Your choice!
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A curious case of O(N^2) behavior which should be O(N) (2023)
The timeline view in the upper screenshot is fairly straightforward: the region of 28-53s is selected, other parts of the timeline are grayed out, and the statistics for the selected time region down below show 94.4% of "Total CPU" being in id_sort_by_name.
The lower screenshot is a flame graph. If you haven't encountered one of those before, it's totally reasonable to not know how to read it. But it's a standard and common way to present this sort of data. See https://www.brendangregg.com/flamegraphs.html for more information.
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Page Sized Writes
Looking at the result for aligned writes, it takes 6.3s in total to complete. Of this, 0.3s is used in user land with 6s used by the system in kernel space(syscalls). In order to make sense of the results, I profiled and collected the stacks traces for analysis. The call stacks can be visualized in the flamegraphs as shown below
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Ask HN: Going low-level – what to learn next?
If you want to "go low" in the operating system, you could write a Linux kernel module:
https://sysprog21.github.io/lkmpg/
https://blog.sourcerer.io/writing-a-simple-linux-kernel-modu...
If you want to "go low" in the way hardware works, you could try and write an interrupt handler on an embedded device.
If you want to "go low" in how optimizations work in application development, you could try and implement microbenchmarks and look at flamegraphs.
https://github.com/brendangregg/FlameGraph
https://bheisler.github.io/criterion.rs/book/index.html
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JVM Profiling in Action
We'll use async-profiler and flame graphs for profiling. To simplify the process, we'll run the code using JBang.
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Memray – A Memory Profiler for Python
And flame graphs excel and this kind of thing
https://www.brendangregg.com/flamegraphs.html
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All my favorite tracing tools: eBPF, QEMU, Perfetto, new ones I built and more
which can output in a format understood by Brendan Gregg's flame frames (https://www.brendangregg.com/flamegraphs.html)
But that's not quite the kind of tracing you're talking about. We also built a printf-style interface to our recording files, which seems closer:
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Recap of Werner Vogels' Keynote at re:Invent 2023
Strategies included discontinuing or resizing underutilized services, transitioning to more cost-effective solutions, reducing the current resources to the amount of resources that we need for our application, and conducting detailed analyses of computing resource utilization through tools like flamegraphs. This detailed scrutiny helped identify and rectify significant cost-driving areas, such as garbage collection and application configurations.
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A note from our sponsor - SaaSHub
www.saashub.com | 22 Jun 2025
Stats
The primary programming language of FlameGraph is Perl.