Search Results for "java log analyzer"
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Showing 10 open source projects for "java log analyzer"
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Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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Gearset | The complete Salesforce DevOps solutionGearset is the only platform you need for unparalleled deployment success, continuous delivery, automated testing and backups.
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TunesViewer
Easy podcast access in Linux, Android
A small, easy-to-use program to access itunesU media & podcasts in Linux and Android. -
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Java-based framework for decoupling back-end services and front-end interfaces. Browse and interact with a database, a class library, a network, a log file, or any live java object as though it were a filesystem. (It works with filesystems too!)
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PynDora
Python WebServer Log File Analyzer
This is a web log file analyzer we are making using python. First the IIS parsing engine wil be built and then Apache and possibly other servers. It is going to support multiple log files from any date and output the statistics in html formatted files, incorporating automatically build charts. It will be a pure python solution which is going to be self contained, ie no installation will be required other from the standard python modules. -
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Enterprise is an open source monitor and advanced log parser. Based on Enterprise ship state system controller of Star Trek, It is able to let you know about the state of your services in a given time.
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Intelligent Retail ManagementQuant offers a wide range of solutions for retail. Within one integrated software system, it allows you to efficiently combine the management of retail space, shelf labels and marketing materials with task management, reporting and automatic replenishment.
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FileZilla Log Analyzer
Project's new home: https://github.com/Stunner/FileZilla-Log-Analyzer
Python scripts that filter, parse, mask, and analyze FileZilla Server Log files. Works on Windows, Linux, and Mac systems. WARNING: NEW VERSIONS ARE BEING POSTED TO GITHUB HERE: https://github.com/Stunner/FileZilla-Log-Analyzer -
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A configurable knowledge management framework. It works out of the box, but it's meant mainly as a framework to build complex information retrieval and analysis systems. The 3 major components: Crawler, Analyzer and Indexer can also be used separately.
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The Secure Remote Log Monitor (SRLM) project provides client and server utilities that collect application or system log files from multiple systems over an untrusted network onto a central server for analysis and action.
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PyLogAlyzer is a Web Log Analyzer in Pure Python (a clone of Awstats). PyLogAlyzer produces a XML result and uses XSLT to generate the HTML files.
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A python based adaptive network analyzer. The aim of the project is to identify illegitimate uses of bandwidth in a network. Uses tshark for network data gathering.
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Easy-to-use online form builder for every business.Easy-to-use online form builder for every business. Create online forms and publish them. Get an email for each response. Collect data. Design professional looking forms with JotForm Online Form Builder. Customize with advanced styling options to match your branding. Speed up and simplify your daily work by automating complex tasks with JotForm’s industry leading features. Securely and easily sell products. Collect subscription fees and donations. Being away from your computer shouldn’t stop you from getting the information you need. No matter where you work, JotForm Mobile Forms lets you collect data offline with powerful forms you can manage from your phone or tablet. Get the full power of JotForm at your fingertips. JotForm PDF Editor automatically turns collected form responses into professional, secure PDF documents that you can share with colleagues and customers. Easily generate custom PDF files online!
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This is a collection of REST specifications, and implementations of those specs, for very low-level information sharing and workflow operations using REST actions over HTTP. Implementations are in various languages, mainly Java, Python, and Ruby.
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