Search Results for "data analysis and visualizing"
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Showing 8 open source projects for "data analysis and visualizing"
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Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.
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SquidCube
Squid log data warehouse
Feed Squid logs into PostgreSQL database, then use Pentaho BI server for data mining. -
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Webstats Solr is an attempt to make Apache Access log easier to Data Mine. By adding a powerful Search Engine (SOLR) as a Backend and using Java Script and HTML and maybe PHP I hope to out date AWStats.
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MACOW is a formal and scalable mandatory access implementation suitable on open worlds such as the provided on Semantic Web, Autonomic Computing and Coaltions and Federations scenarios. It is able to access control on distributed systems.
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Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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System performance data management and monitoring tool. It gather performance data from nagios or generic source for make custom graphs, reports and "brainy" analysis. It's developed in Java 1.5
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Watchdog is a Java performance monitoring and tuning framework. It is suitable for production environments allowing flexible auditing of performance data for later analysis by a comprehensive set of tools.
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GILoT is an interpreting and formatting log tail:er. As each log entry is matched and formatted against customizeable rules, only relevant data is parsed. GILoT features, atm, two separate user interfaces, a console UI and an ncurses/charva TUI.
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xjnm is a java daemon that gathers numbers from arbitrary sources (e.g. cpu usage) and can store it on arbitrary storages (e.g. a jdbc database) for later analysis or react in arbitrary way to the data collected (e.g. inform an administrator by e-mail).
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