Alternatives
Products that do what XCapture v3: Linux Performance Analysis with Modern eBPF and DuckDB does
Hello, I just released the (eventually) final version of my xcapture eBPF performance tool that now uses modern eBPF (libbpf, BTF, CO-RE, passive sampling using task iterators, task-local storage, etc). The previous BCC-based v2 version got a good discussion here last year [1], but due to BCC being less flexible and now deprecated, I decided to pull the plug and start from scratch with the latest eBPF features available. I'm targeting Linux kernels 5.14 and up. So Ubuntu 20 with HWE kernel (5.15) already works, RHEL9 works, Oracle's RHEL8 clone OEL8 with Oracle's UEK7 kernel (5.15) also…
- 1XP
Here's the latest eBPF performance tool of mine - xstack. It's a minimal tool, just 165 lines of eBPF C and under 500 lines of userland C code (including all comments and boilerplate!). It uses the libbpf and (Rust) BlazeSym libraries though (which are a lot of code). The point (and difference) of this tool is that it can sample both the kernel and userspace stack traces of all threads in your system. Traditionally, the "bpf_get_stack()" helper can not read userspace stack traces of other tasks in Linux, but since Linux 5.18 we can combine sleepable eBPF task iterator programs with a new…
2025 · tanelpoder.com
- 2PI
2020 · pixielabs.ai
- 3AU
Hey HN! We built a tool that uses eBPF to discover AI services and their data flows in Kubernetes clusters. Modern AI apps often follow this pattern: 1. Service receives request 2. Queries database (PostgreSQL/Redis/MongoDB) 3. Sends data to LLM API (OpenAI/Anthropic/Bedrock) 4. Consumes or returns the AI generated response Security teams often don't know: - Which services are making AI calls - What databases they're accessing first - Whether PII is being sent to third-party APIs - What libraries and packages are being used for AI Our eBPF based tool attaches to network…
Jan 2026 · aurva.io
- 4PO
2022 · github.com
- 5CX
2020 · leaningtech.com
- 6TR
Hi HN, Today I'm showcasing Trunchbull, a benchmarking platform designed for authoring benchmarks and running them against different models. We have direct support for benchmarks that use the harbor authoring system, custom tool authoring via the vercel ai sdk and configuration limits. We've also already imported terminalbench 2.0, as a sort of proof of concept that our harbor task orchestrator works, although you currently need a paid account as we are provisioning sandbox environments. I've made several popular benchmarks publicly available for testing. You dont need an account or your…
25d ago · trunchbull.dev
- 7SC
Jan 2026 · github.com
- 8LF
Hi HN, I just wanted to share what I have been working on for the past few months: A firmware analyzer for embedded Linux systems that helps uncovering security issues running entirely in the browser. This is a very early Alpha. It is going to be rough around the edges. But I think it provides quite a lot of value already. So please go ahead and drop a firmware (only .tar rootfs archives for now) and try to break it :)
Mar 2026 · xray.boldwark.com
- 9IM
It's a chrome extension that automatically loads the specs from the Hugging Face model card into the calculation. > To test it, install the extension (no registration/key needed) and navigate to a HF model page. Then click the "VRAM" icon on the top right to open the sidepanel. You can specify quantization, batch size, sequence length, etc. Works for inference & fine-tuning. If it does not fit on the specified GPUs, it gives you an advise on how to still run it (e.g. lowering precision). It is inspired at my work, where we were constantly exporting metrics from HF to estimate required…
2025 · chromewebstore.google.com
- 10HC
Hello everyone, After recreating the accuracy/rough speed from David Page's implementation in hlb-CIFAR10 0.1.0 (18.1s on an A100, SXM4, Colab), it was down to some basic NVIDIA kernel profiling to figure out which operations were the long poles in the tent. Perhaps (somewhat?) unsurprisingly, the NCHW NHWC thrash was the worst part, but unfortunately the GhostBatchNorm was a barrier even using the faster-on-Ampere channels_last memory format. A quick note before continuing -- some may find the use of a convolutional network and on CIFAR10 to be curious. A quick answer to that would be…
2023 · github.com
- 11DI
I built an open-source malware detection daemon that monitors all running processes in real-time using ML + heuristics. No kernel modules or eBPF required. Key points: - Polls /proc for new processes (works on any Linux kernel 2.6+) - Random Forest model trained on EMBER 2018 dataset (2.3M samples) - Heuristic rules for crypto miners, ransomware, rootkits - ~20MB RAM, <1% CPU, sub-millisecond scan latency - Pure C, zero runtime dependencies - Model embedded directly in binary (50KB) Why I built this: Existing solutions either require modern kernels (eBPF) or are heavy/proprietary.…
Nov 2025 · github.com
- 12IB
Built a simple web app that tells you which open-source LLMs will work on your hardware. It auto-detects your specs, shows compatible models from Hugging Face, gives realistic performance estimates (tokens/sec), and recommends quantization settings. You can also manually input specs to see "what if I upgraded my RAM?" Made this after wasting time downloading giant models only to find they crawled on my hardware. Hope it saves you some frustration!
2025 · caniusellm.com
- 13DD
Hey all! I wrote Explorer[1] a good few years ago now with the dream of fast dataframes with a dplyr-like API in a really powerful, ergonomic language (Elixir). It's proved pretty successful. Explorer is used in production at my company, and it's my go-to for quick data analysis. But maintaining it became a true albatross. Polars is an amazing project, but the development process is fast and a lot is very focused on the Python lib. We found that trying to maintain Explorer against Polars was a maintenance nightmare and eventually hit points where we had to give up features and found it…
Mar 2026 · github.com
- 14XT
Jul 2026 · github.com
- 15FG
Built this as a guide for users of my hosting service. Everything here was run on a real instance. The Mesa/LLVM dependency is genuinely painful on a 1GB disk, and I couldn't find a way around it. WindowMaker won the window manager battle purely on dependency chain cleanliness; it pulls in no GTK, no Python, no audio stack. Happy to answer questions about any of the choices made. Screenshots at the end.
Mar 2026 · tierhive.com
- 16WC
Release 1.8.2 of wazero, the zero dependency WebAssembly runtime for Go, brings the amd64 compiler to 4 new OSes: NetBSD, DragonFly BSD, illumos and Solaris. The compiler also supports Linux, FreeBSD, macOS and Windows, on amd64 and arm64. This didn't require any changes to the compiler, just enabling it after setting up tests to validate that it already worked. Now the HN hook: noticeably absent is OpenBSD, which I failed to get working, even after taking W^X into account (we already had that for arm64 on macOS). If you wanna help, please drop us a note!
2024 · github.com
- 17LS
Earlier this year, I took a month to reexamine my coding habits and rethink some past design choices. I hope to rewrite and improve my FOSS libraries this year, and I needed answers to a few questions first. Perhaps some of these questions will resonate with others in the community, too. - Are coroutines viable for high-performance work? - Should I use SIMD intrinsics for clarity or drop to assembly for easier library distribution? - Has hardware caught up with vectorized scatter/gather in AVX-512 & SVE? - How do secure enclaves & pointer tagging differ on Intel, Arm, & AMD? - What's…
2025 · github.com
- 18DV
Hello there, I’m working on a desktop viewer application for WebAssembly modules for Windows, macOS, and Linux, and I’m looking to have some feedback from real-world use. The application is fairly small, requires no installation for now, and is limited to the minimum functionality, but I have more features in mind for the future. Testers would get a free license including future releases. If you’re interested, drop me a mail at [email protected] with the platform(s) you could test on. It would be helpful if you could tell me about in what capacity do you work with WebAssembly,…
2019
- 19
- 20WB
Over the past few months, as we scaled our internal AI Agents, we hit a dead end: Running LLM-generated arbitrary code in Docker is basically running naked on security due to container escape risks. But using full traditional VMs takes minutes to boot and eats too much memory to support high-density concurrency. We loved the developer experience of SaaS sandboxes on the market, but they are closed-source, expensive, and have too high a barrier to entry for self-hosting. So, our team decided to build our own. After months of grinding, using RustVMM and KVM, we built a blazing-fast,…
Apr 2026 · github.com
- 21KP
I thought it'd be interesting to use Linux PSI (Pressure Stall Information) for an LLM runtime to trim the KV cache. This is mainly useful imo for edge devices like the Jetson Orin super nano kit which have unified memory. I haven't benched much, but plan to do so more over time and see if I can make a real use of it as I run local LLMs. Let me know if it makes sense :P (I of course vibed this idea)
Jun 2026 · github.com
- 22OS
Existing OSS C++ projects like ClickHouse and DuckDB support reading from Iceberg tables. Writing requires Spark, PyIceberg, or managed services. In this PR https://github.com/timeplus-io/proton/pull/928, we are open-sourcing a C++ implementation of Iceberg integration. It's an MVP, focusing on REST catalog and S3 read/write(S3 table support coming soon). You can use Timeplus to continuously read data from MSK and stream writes to S3 in the Iceberg format. No JVM. No Python. Just a low-overhead, high-throughput C++ engine. Docker/K8s are optional. Demo…
2025 · github.com
- 23IM
This is a personal project I've been working on and off for the past few years. It's a set of tools that have allowed me to prototype quickly small (and increasingly bigger) kernels, and create userspace programs to interact with them. Supports riscv64, amd64 and i386. The intel port has been tested and used on real hardware, from big dual-socket Xeon machines to an old X220. It is all C, I have plan to make rust bindings for the kernel library. But again, they're plans at this stage. Porting to new architectures is relatively simple, a basic port to riscv took me a couple of weeks of…
2024 · github.com
- 24AM
Hi, I work on this library because I like the simplicity of CGI and enjoy building things with C++. It is based on asio and my own implementation of FastCGI, and it works on both Linux and Windows. I have just released the new version and created a simple live demo that you can check out here: https://asyncgi-guestbook.eelnet.org
2023 · github.com
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