Dynamic Performance Profiler for Distributed AI
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Updated
Nov 13, 2025 - Rust
Dynamic Performance Profiler for Distributed AI
Tool to profile usage of HPC resources by regularly probing processes.
Unified and Modular Measurement Framework
Easy flamegraphs for Rust projects and everything else, without Perl or pipes <3
Sampling profiler for Python programs
Low-overhead Linux CPU profiler suitable to be run on-demand and continuously
A cargo plugin to generate Xcode Instruments trace files
DuckDB Pyroscope Extension for Continuous Profiling
The fastest metrics library for Rust. Lock-free 0.6ns gauges, 18ns counters, timers, rate meters, async timing, adaptive sampling, and system health. Cross-platform with minimal dependencies.
Fast, lightweight Rust benchmarking library. Dev mode: profile like Criterion. Prod mode: monitor with <10ns overhead. Features: async benchmarks, regression alerts, health metrics, p95/p99 latency tracking. Thread-safe, minimal deps. Benchmark any code block or function with one macro.
Rust wrapper for Apple's os_signpost API
Convert jemalloc heap profiles to pprof to understand memory usage, fix memory leaks, and fix OOM Kills.
Infers asymptotic computational complexity
Mesa is a command line time measurement tool for profiling applications.
`tracing` related crates used by `opensound-org`.
Zero-middleware metrics counter that emits per-key and aggregate RPS/RPM snapshots every second
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