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Pprof Alternatives
Similar projects and alternatives to pprof
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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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tokio
A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
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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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opentracing-javascript
Discontinued OpenTracing API for Javascript (both Node and browser). 🛑 This library is DEPRECATED! https://github.com/opentracing/specification/issues/163
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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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minitrace
Simple C/C++ library for producing JSON traces suitable for Chrome's built-in trace viewer (about:tracing).
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better pprof alternative or higher similarity.
pprof discussion
pprof reviews and mentions
Posts with mentions or reviews of pprof.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-12-25.
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Navtive FlameGraphViewer
Damn I hate it when you write a whole project and someone comes along and says "this already exists" and you realise how much time you wasted (yeah even if some of it counts towards learning I'd still rather not needlessly repeat other people's work).
Anyway, pprof has a fantastic interactive Flamegraph viewer that lets you narrow down to specific functions. It's really very good, I would use that.
https://github.com/google/pprof
Run `pprof -http=:` on a profile and you get a web interface with the Flamegraph, call graph, line based profiling etc.
It's demonstrated in this video.
https://youtu.be/v6skRrlXsjY
They only show a very simple example and no zooming, but it works very well with huge flamegraphs.
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Flame Graphs: Making the Opaque Obvious (2017)
How do flame graphs handle the case where most of the time is spent in some leaf function that is called from all over the program? In this case, each individual stack would not take much time but in aggregate, a lot of time is spent in the function at the top of all of the call stacks. This should not be that uncommon to have hotspots in things like copying routines, compression, encryption etc that are not associated with any particular stack.
pprof from https://github.com/google/pprof can produce a DAG view of a profile where nodes are sized proportional to their cumulative time, e.g.,
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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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A note from our sponsor - SaaSHub
www.saashub.com | 18 May 2025
Stats
Basic pprof repo stats
14
8,440
8.1
17 days ago
google/pprof is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of pprof is Go.
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