Alternatives
Products that do what I wrote a profiler that combines dynamic profiling and static analysis does
- 1SH
Morning HN. I often found myself wondering "how much does this code segment take in terms of total runtime" and it's often quite annoying to figure out with optimizations enabled, especially when working on something new or testing someone else's implementation without the proper tooling set up. Wanted to have a single include lib that would allow us to write something like: ``` PROFILE("Loop 1") for (...) // some work ``` and have the next expression automatically record time & dump results to a table. Wrote a few macros to do exactly that a few months back, but they were…
2025 · github.com
- 2SP
2017 · github.com
- 3WF
2021 · prodfiler.com
- 4SW
[I'm the author] Spall is a web-accessible profiler that I made to help my web-dev friends load gigabyte+ JSON traces without lunch-break-long load times. Recently, Spall got experimental support for auto-tracing with binary traces (along with an in-progress native-port, to give it more memory headroom), which was used to help track down and fix some hard-to-spot lock contention issues in the Odin-language compiler. I demoed it at the Handmade Seattle conference in October, https://guide.handmade-seattle.com/c/2022/spall/, with a head-to-head against Perfetto,…
2023 · gravitymoth.com
- 5CA
I am excited to announce the project I am working on: an advanced mobile app profiler for Android. Its primary purpose is to optimize app performance and make it faster. Additionally, it serves as an excellent debugging tool. The main distinction between existing tools, such as Perfetto and the Android Studio Profiler, is the ability to synchronize the trace with a video recording of your app. This allows you to see the app's UX alongside what's occurring within the app to identify what's causing slowdowns. Another key feature is the ability to click on any slice and view the cross-thread…
2024 · crpath.app
- 6PC
Hey HN! We are happy to share Perforator – our internal cluster-wide profiler with great support for native languages and a built-in AutoFDO pipeline to simplify sPGO builds. Perforator allows you to profile most binaries without having to recompile or adjust the build process. We use it at Yandex to profile each pod inside a large cluster at modest speed (99Hz), collecting petabytes of profiles every day. There's a blog post about it at https://medium.com/yandex/yandexs-high-performance-profiler-.... Inspired by Google-Wide Profiling, we started continuous profiling…
2025 · github.com
- 7D2
Hi! We are excited to announce the second release of Desbordante — an open-source, high-performance data profiler that is capable of discovering and validating many different patterns in data using various algorithms. Unlike existing data profilers, Desbordante focuses on discovering complex patterns in data, which are notoriously hard to extract. Since its inception in 2019, it has become the fastest open-source tool for these tasks. It also offers an array of patterns which have no alternative implementations. With this release, Desbordante now supports 17 types of patterns, such as:…
2024 · github.com
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- 9TA
Note: this is an update to [this](https://news.ycombinator.com/item?id=44568529) "Show HN" post. timep is a state-of-the-art [debug-]trap-based bash profiler that is efficient and extremely accurate. Unlike other profilers, timep records: 1. per-command wall-clock time 2. per-command CPU time, and 3. the hierarchy of parent function calls /subshells for each command the wall-clock + CPU time combination allows you to determine if a particular command is CPU-bound or IO-bound, and the hierarchical logging gives you a map of how the code actually executed. The standout…
2025 · github.com
- 10PS
2015 · github.com
- 11
- 12AO
Hey HN. We’re Jay and Vadim from Highlight.io (https://highlight.io). We’re building an open source [1] monitoring platform for web applications. Today we’re excited to be sharing a performance tool we’ve been working on, which helps you inspect the latency of code execution from the client to the server. As engineers at past startups, we often had to debug slow queries, poor load times, inconsistent errors, etc... While tools like Jaegar [2] helped us inspect server-side performance, we had no way to tie user events to the traces we were inspecting. In other words, although we had…
2024 · github.com
- 13IB
Sup HN, So I got tired of bouncing between Flightradar, MarineTraffic, and Twitter every time something kicked off globally, so I wrote a dashboard to aggregate it all locally. It’s called Shadowbroker. I’ll admit I leaned way too hard into the "movie hacker" aesthetic for the UI, but the actual pipeline underneath is real. It pulls commercial/military ADS-B, the AIS WebSocket stream (about 25,000+ ships), N2YO satellite telemetry, and GDELT conflict data into a single MapLibre instance. Getting this to run without melting my browser was the hardest part. I'm running this on a laptop…
Mar 2026 · github.com
- 14IW
2023 · github.com
- 15JM
2013 · github.com
- 16IR
I've been running long duration coding agents with Claude Code for about 6 months now. Steve Yegge released Beads back in October and I found that giving Claude tools for proper task tracking was a massive unlock. But Beads grew massively in a short time and every release made it slower and more frustrating to use. I started battling it several times a week as its background daemon took to syncing the wrong things at the wrong times. Over the holidays I finally ripped it out and wrote ticket as a replacement. It keeps the core concept I actually cared about (graph-based task dependencies)…
Jan 2026 · github.com
- 17JT
2015 · javosize.com
- 18WA
We are excited to present wzprof: a pprof-based profiler for WebAssembly modules. With it we can collect CPU and memory profiles during their execution. You execute your program compiled to WebAssembly under wzprof, and you get profiling metrics that can be consumed by anything that understands the pprof format (e.g. go pprof, Pyroscope, Parca). A few things motivated us to build this tool. WebAssembly runtimes typically allow profiling guest code via an external profiler such as perf, but in many cases, the recording and analysis of profiles remain a difficult task, especially due to…
2023 · github.com
- 19
- 20IB
I got sick of the old software development loop: Change code -> Run tests -> wait -> wait some more -> look at failures. I decided to build a tool that will enable you to: Change code -> look at failures. No wait time, no explicit test running. Under the hood: - Runs the whole test suite and collects code coverage per test. - For each auto file save, analyzes the changes on the tests. - Runs changed tests in the background. - Display results, the loop time from change to test results is approx 250ms. Instead of: code -> alt+tab -> arrow up -> rerun all the tests -> wait ... -> test results…
2022 · github.com
- 21GO
Hey HN! We’re Jai and Sanket, co-founders of DeepSource (YC W20). We're open-sourcing Globstar (https://github.com/DeepSourceCorp/globstar), a static analysis toolkit that lets you easily write and run custom code quality and security checkers in YAML [1] or Go [2]. After 5+ years of building AST-based static analyzers that process millions of lines of code daily at DeepSource, we kept hearing a common request from customers: "How do we write custom checks specific to our codebase?" AppSec and DevOps teams have a lot of learned anti-patterns and security rules they want…
2025
- 22CD
Hi HN! This is a little site I put together while learning the Elm language as part of a hackathon at my work, I thought you might enjoy it. Be sure to click the `(source)` buttons next to the graphs: you can edit them interactively & write your own queries against the entire data set. The syntax isn't well documented yet, but you can probably get the general idea pretty quickly based on the examples there. If you like it, have questions, etc. let me know! If folks think this is cool, maybe I can get it turned into a legit project. :)
2022 · codestat.dev
- 23ID
Hello, I have several years of experience as a Python developer, and during that time, I've worked on intricate applications dealing with large volumes of data. One frequent challenge I faced was benchmarking the application and identifying performance bottlenecks. While there are some excellent Python profiling tools available, they can be quite daunting for beginners. The utility I have developed simplifies this process, making it as straightforward as possible to transition from slow code to a detailed flame chart. I would greatly appreciate your feedback!
2023 · github.com
- 24SA
2014 · mtford.co.uk
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