There are 4 repositories under measurements topic.
Makes life working with units of measurement just a little bit better.
C++ Benchmark Authoring Library/Framework
Throw in the towel.
Performance testing matchers for RSpec
Unit conversion tool and library written in rust
Fast approximations for common geodesic measurements 🌐
Simple library for sending measurements to an InfluxDB with a single network request. Supports ESP8266 and ESP32.
Get performance measurements from React Fiber
ASAM XCP in Python
Traceroute with any packet. Visualize the routes. Discover Middleboxes and Firewalls
GPU time metric for Unity apps (currently limited to Android/GLES)
Measure the SMPL body model
A lua library to provide distributed rate measurement using nginx + redis, you can use it to do a throttling system within many nodes.
Convert standard units from one to another with this easy to use, lightweight package
Open Source Web Performance Monitoring. Made by iteratec.
Meter - is a simple micro-benchmarking tool for Android (and Java) projects. This is not a profiler, this is very small utility class that designed for making benchmarking easy. Nothing more. Alternative to Android Jetpack Benchmark.
console.time and console.timeEnd polyfill for react-native
A library to display and compare spinorama (speakers measurements) graphs.
Provides informative reports on team and developer metrics, based on data from pull requests and code reviews
OpenFrameworks add-on to easily measure execution times on different parts of your code.
Android App dedicated to the measurement of environmental noise.
An android library to measure code execution time. No need to remove the measurement code, automatically becomes no-op in the release variants. Does not compromise with the code readability and comes with features that enhance the developer experience.
SIMETBox package feed for OpenWRT (comece aqui/start here!)
GROBID extension for identifying and normalizing physical quantities.
A type-safe ratio of Foundation unit quantities
Code to estimate HR from PPG signals using Subspace Decomposition and Kalman filter for the dataset of 22 PPG recordings provided for the 2015 IEEE Signal Processing Cup (SP Cup) competition. The traces are stored in folder 'DATABASE'. Please cite this publication when referencing this material: "Measuring Heart Rate During Physical Exercise by Subspace Decomposition and Kalman Smoothing", IEEE Transaction on Instrumentation & Measurement.