Search Results for "java text area"
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Showing 6 open source projects for "java text area"
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Find Hidden Risks in Windows Task SchedulerWindows Task Scheduler might be hiding critical failures. Download the free JAMS diagnostic tool to uncover problems before they impact production—get a color-coded risk report with clear remediation steps in minutes.
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Like Unix-Tail BUT: - Runs with or without GUI - Suspend and resume tailing at runtime - Can monitor a set of Files - Print output to a textfield, stdout or file - Runs in "Grep" mode, too (Read files once) - (Almost) the same options as Unix-Tail
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hypKNOWsys aims at developing a Java-based workbench for knowledge discovery and knowledge management. Currently, hypKNOWsys has released two intermediate tools: DIAsDEM Workbench (text mining for semantic tagging) and WUMprep (Web mining pre-processing)
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The application will be able to provide further information about the location of a host by analyzing the senders IP address. It works like other localizer software and provides different types of visualisation (map, text).
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A statistics generator (html, text, charts) for distributed.net personal proxy servers log files written in Java.
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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This project is an web-based text log file processor written in Java for the analysis of log files produced by the MMORPG Vanguard: Saga of Heroes, but will expand to include other uses including other games and security log analysis.
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A tool to extract the information in any log file into a database. It has no inherent knowledge of particular log formats but by using inbuilt rules and asking a few simple questions should be able to parse any type of text log intelligently.
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