RSS 4 projects tagged "metrics"

No download Website Updated 01 Mar 2013 Metrix++

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Pop 19.08
Vit 20.33

Metrix++ is a platform to collect and analyze code metrics. It has a plugin-based architecture, so it is easy to add support for new languages, define new metrics, and/or create new pre- and post-processing tools. Every metric has 'turn-on' and other configuration options. There are no predefined thresholds for metrics or rules; you can choose and configure any limit you want. It scales well to large codebases. For example, initial parsing of about 10000 files takes 2-3 minutes on an average PC, and only 10-20 seconds for iterative re-run. Reporting summary results and exceeded limits takes less than 1 - 10 seconds. It can compare results for 2 code snapshots (collections) and differentiate added regions (classes, functions, etc.), modified regions, and unchanged regions. As a result, easy deployment is guaranteed into legacy software, helping you to deal with legacy code efficiently, and either enforce the 'leave it not worse than it was before' rule or motivate re-factoring.

Download No website Updated 14 Sep 2012 statsd-go

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Pop 17.55
Vit 1.48

statsd-go is a reimplementation of statsd in Go (forked from gographite) with Ganglia submission support.

Download No website Updated 20 Jul 2012 statsd-c

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Pop 28.93
Vit 1.00

statsd-c is a reimplementation of Etsy's famous/infamous "statsd" in C.

No download No website Updated 30 Sep 2009 allmon

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Pop 23.17
Vit 40.75

allmon is a generic system for collecting and storing various runtime metrics collections used for system performance, health, quality, and availability monitoring purposes. The system also provides a set of data-mining algorithms useful for further performance analysis. Allmon is designed to harvest different metrics values coming from many areas of monitoring infrastructure. The collected data are based on quantitative and qualitative performance and availability analysis. Allmon collaborates with other analytical tools for OLAP multidimensional analysis and data mining processing. The tool can be used for production as well as for development (profiling) and QA (load testing) purposes.

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