JMetric aims to bring current OO-metrics, and metrics tools research to the practitioner. The project was started in April 1998 as part of ongoing research into metrics tools. The development team had found that there had been very few good metrics collec
OpenTNF is a system-level tracing facility for capturing and presenting diagnostic information and performance metrics. Linux/Intel (kernel 2.2.x) is the initial target platform. The OpenTNF project is seeking developers for ports to other platforms.
ontometrics is a Java framework for computing ontology metrics. It is aimed at support metrics on OWL ontologies, but other onology languages can be added to its flexible design.
SPUDS (Software Productivity at University of Savoie) is a tool to help software development. This tool will be composed of several utilities: Software metrics, code analysis, and model-driven engineering. This is part of research work.
The aim of this project is to highlight the effect of lexical chain scoring metrics and keyword extraction techniques on summary generation. We present our own chain-based keyword extraction system using WordNet lexical database.
JUnitMetrics is a tool that enables to measure basic JUnit and Cactus tests metrics (like number of tests, assertions, number of executed assertions). It is great, complementary solution to code coverage tools and mutation testers.
Real-time error alerts, performance insights, and anomaly detection across your full stack. Free 30-day trial.
Move from alert to fix before users notice. AppSignal monitors errors, performance bottlenecks, host health, and uptime—all from one dashboard. Instant notifications on deployments, anomaly triggers for memory spikes or error surges, and seamless log management. Works out of the box with Rails, Django, Express, Phoenix, Next.js, and dozens more. Starts at $23/month with no hidden fees.
This is a solution to help an enterprise to monitor their key data
This is a solution to help an enterprise to monitor their key/sensitive data. It is composed of seven major components: k-data modeling, k-data capture, k-data store, k-data watcher, k-data metrics, k-data view and k-data action.
Monitoring tool with support to Websites, RSS, Webservices and Databases. Has notifications by email and RSS and you can access metrics like availability, latency and load time by a web-based GUI. Runs standalone with an embedded HTTP server.