Create coverage badges from coverage reports. Using GitHub Actions and GitHub Workflow CPU time (no 3rd parties servers).
Cache ipx-optimized image to disk and save your cpu time!
Create a badge using GitHub Actions and GitHub Workflow CPU time (no 3rd parties servers)
DCPU is a DO with infinite CPU time
What's the damage? ...of running that script in real time, CPU time, and memory usage
React Native Library for CPU Time
Offload tasks to a pool of workers on node.js and in the browser
Vitals is a module that will collect health statistics for process ids past to it, currently collections cpu time, memory usage and uptime.
Binaries for Sentry Node Profiling
Cross-platform process cpu % and memory usage of a PID
Get running processes
A simple binding to Google's cpu_features library for obtaining information about installed CPU(s)
Cache ipx-optimized image to disk and save your cpu time!
Canvas for Node.js with skia backend
A production-friendly Node.js profiler to measure **CPU time**, **memory usage**, **execution duration**, and **concurrency** for functions and HTTP APIs.
Request timeout middleware for Connect/Express
Node.js prometheus client plugin for exporting cpu time statistics.
Simple CPU usage metering for node
OpenCtx provider that annotates Go functions with their associated CPU time and memory allocations.
Provides the number of physical cores
Get the operating system CPU architecture
Check whether operating system CPU architecture is 64-bit or 32-bit (Supports browsers)
This is the implementation of the Profiler for iOS app. It uses [py-ios-device](https://github.com/YueChen-C/py-ios-device) to poll CPU, RAM and FPS data in real time.
pprof support for Node.js
Small crate that provides CPU time measurement.
Small crate that provides CPU time measurement for threads.
Experimental library for profiling tracing spans.
Rust agent for async-profiler
A wrapper for std::future::Future that measures the CPU-time it takes to be computed
A chemical reaction network simulator.
FM-index Long Read Corrector - Rust implementation
Semantic code search CLI — like ripgrep but for meaning
Semantic code + document search engine. Cacheless static-embedding + cross-encoder rerank by default; optional ModernBERT/BGE transformer engines with GPU backends. Tree-sitter chunking, hybrid BM25 + PageRank, composable ranking layers.
MCP + LSP server for ripvec — semantic code search, PageRank repo maps, and multi-language code intelligence
Automatic instrumentation-based profiler for Rust. Measures self-time, call counts, and heap allocations per function.
Show who is logged on and what they are doing
Get CPU time.
Process memory and cpu time benchmarker
Run a process for a given time, kill it with SIGKILL, report CPU time and memory usage
SidekiqInsight provides detailed CPU, memory, and wall-time profiling for Sidekiq jobs and Rails requests, automatically detects memory leaks, stores metrics in Redis, and displays everything in a clean, modern dashboard. Ideal for monitoring production workload performance.
Monitor process memory and CPU over time
Ruby classes and executables for targetting and sending signals to *nix processes that match/don't match command name patterns, memory use, cpu use and time alive
Organize your features in a tree directory and don't waste your CPU time running the same steps over and over.
Rubella is a library to generate heatmaps to monitor visualize measured values easier. Like the load of multiple CPU cores over time.
A safepoint-based sampling performance profiler that uses thread CPU time deltas as weights to correct safepoint bias. Outputs pprof, collapsed stacks, or text report.
This gem is designed for use by Rails applications running on Heroku. For others, the better approach is to use a frontend server such as nginx or Apache. However, the Heroku Cedar stack is no longer fronted by a file server, and there is no automatic provision for gzipping responses. This gem activates Rack::Deflate for all requests. In addition, we serve up the gzipped versions of our precompiled assets, taking advantage of the higher compression ratio used during precompilation, and reducing CPU load at request time.
A ruby library that searches the linux sysfs file system for compute unit devices such as CPUS, GPUs and other ASIC compute devices. Allows programmatic access to collect real time metrics from the kernel or relatated driver toolchain. Is meant to be used as a toolchain for future tools. This library also makes use of opencl library and requires the opencl_ruby_ffi gem.
This gem contains command-line utility for solving 0/1 knapsack problem using branch-and-bound method, dynamic programming, simple heuristic (weight/price) and fully polynomial time approximation scheme. It can measure CPU and wall-clock time spent by solving a problem, compute relative error of the result and generate graphs from those values.
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