Search Results for "free statistical analysis software"
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Showing 6 open source projects for "free statistical analysis software"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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EclEmma is a free Java code coverage tool for Eclipse, available under the Eclipse Public License. It brings code coverage analysis directly into the Eclipse workbench. The EclEmma project is also the home of the JaCoCo code coverage library which is the technical back-end for EclEmma and also has integrations with many other build and software quality tools.
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Hermes - Selenium For Humans
(H)uman (R)eadable and (M)achine (E)xecutable (S)pecification
Hermes provides a powerful yet usable automation solution, making it the most popular Selenium framework in the world, with over 8,000 downloads. Create human readable, machine executable Selenese style tests in Excel. The world's first automation framework fully integrated with Selenium IDE, RC and GRID; yet built for humans. Be up and running using a feature rich Selenium RC framework in minutes. Hermes comes with advanced reporting, analysis, debugging and enterprise level Java... -
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Java Cobol Lexer take a cobol source program and return it as a list of lexical tokens. Library takes source code in fixed, free and mixed formats. It recognizes standard Cobol 85.
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CyVis is a free software metrics collection, analysis and visualisation tool for java based software.
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Free Java monitoring library to easily instrument apps to measure performance detail over time with minimal overhead. Has dashboard, SVG graphs. Extends Jamon and its statistical data, same usage. http://www.e-peas.com/opensla/. JMX, SNMP planned.
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Jistory is an Eclipse plug-in for history sensitive detection of design anomalies in source code. This plug-in aims to aid the developer in writing better code by using history sensitive heuristics to analyse multiple versions of source code.
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